Journal articles: 'Population statistics'

1

Verhoef, Rolf, and Dirk J. van de Kaa. "Population Registers and Population Statistics." Population Index 53, no. 4 (1987): 633. http://dx.doi.org/10.2307/3643792.

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Silver, G. "Beyond population statistics." American Journal of Public Health 85, no. 10 (October 1995): 1345–46. http://dx.doi.org/10.2105/ajph.85.10.1345.

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3

F., P. "B.Benjamin — Population Statistics." Population Vol. 45, no. 1 (January 1, 1990): 213–15. http://dx.doi.org/10.3917/popu.p1990.45n1.0215.

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Pumputis, Dalius, and Andrius Čiginas. "Estimation of parameters of finite population L-statistics." Nonlinear Analysis: Modelling and Control 18, no. 3 (July 25, 2013): 327–43. http://dx.doi.org/10.15388/na.18.3.14013.

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We consider the estimation of important parameters of a linear combination of order statistics (L-statistic) in a finite population, emphasizing the influence of auxiliary information on the estimation accuracy. Assuming that values of an auxiliary variable are available for all population units, we construct calibrated estimators for the variance of L-statistics and for the parameters, which define one-term Edgeworth expansions of distributions of L-statistics. The gain of the new estimators is demonstrated by the simulation study.

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Alfassa, Achmad Isya. "Bayesian Statistics for Study Population Statistics and Demography." Journal of Statistical Methods and Data Science 1, no. 1 (June 30, 2023): 17–24. http://dx.doi.org/10.31258/jsmds.v1i1.4.

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Bayesian statistics is a method that belongs to the realm of statistical science which is based on the rules of the science of chance or probability. The Bayesian method is also used in carrying out projection analysis to see a picture of future conditions. This research was conducted to show the relationship between Bayesian Statistics and Demographic and Population Statistics Studies. The results of Bayesian Statistics can be used in the study of Population Statistics and Demography to carry out analysis with previous data and to find out and predict a picture of future conditions to determine the right policies, especially in analyzing population projections, population indicators and other demographics.

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Charles-Edwards, Elin, Martin Bell, Radoslaw Panczak, and Jonathan Corcoran. "A Framework for Official Temporary Population Statistics." Journal of Official Statistics 36, no. 1 (March 1, 2020): 1–24. http://dx.doi.org/10.2478/jos-2020-0001.

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AbstractThere is considerable demand for official statistics on temporary populations to supplement statistics on resident and working populations. Progress has been slow, with temporary population statistics not part of the standard suite of measures produced by national statistical offices. This article adopts the framework for official statistics proposed by Raymer and colleagues as a guide to aspects relating to society, concepts, data, processing, outputs and validation. The article proposes a conceptual framework linking temporary population mobility, defined as a move more than one night in duration that does not entail a change in usual residence, and temporary populations. Using Australia as an example, we discuss various dimensions of temporary mobility that complicate its measurement. We then report the outcomes of a survey of user needs for temporary population statistics along with a desktop review of OECD countries to identify the best formulation of temporary population statistics, and current international practice respectively. The article concludes by proposing two related concepts for temporary populations: population present and person-time, which overcome a number of issues currently impeding progress in this area and discuss their potential implementation.

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Peter, Benjamin M. "Admixture, Population Structure, andF-Statistics." Genetics 202, no. 4 (February 8, 2016): 1485–501. http://dx.doi.org/10.1534/genetics.115.183913.

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8

Escudero, Carlos. "Particle statistics and population dynamics." Physica A: Statistical Mechanics and its Applications 354 (August 2005): 371–80. http://dx.doi.org/10.1016/j.physa.2005.02.021.

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9

Wall, Richard. "English population statistics before 1800." History of the Family 9, no. 1 (January 2004): 81–95. http://dx.doi.org/10.1016/j.hisfam.2001.10.003.

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10

Long, Jeffrey C. "THE ALLELIC CORRELATION STRUCTURE OF GAINJ-AND KALAM-SPEAKING PEOPLE. I. THE ESTIMATION AND INTERPRETATION OF WRIGHT'S F-STATISTICS." Genetics 112, no. 3 (March 1, 1986): 629–47. http://dx.doi.org/10.1093/genetics/112.3.629.

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ABSTRACT The internal patterning of allelic correlations in the Gainj and Kalam swidden horticulturalists of highland Papua New Guinea is examined within the context of Sewall Wright's F-statistic model. A multiallelic extension of the model is given first, and multivariate variance-component estimators for the parameters are suggested. Then, it is shown that the expectation of the F-statistic set depends on the age structure of the population and that knowledge of the population and sample age structure is critical for meaningful analysis. The array of F-statistics estimated jointly over five polymorphic enzyme loci reveals the following features of Gainj and Kalam population structure: (1) significant departures from panmictic expectations and (2) characteristics of a continuously distributed breeding population, rather than those expected for populations subdivided into demes with discrete boundaries. Finally, the F-statistics estimated for the Gainj and Kalam are briefly compared to estimates obtained from other tribal populations. It is seen that the level of differentiation observed in the Gainj and Kalam is only about one-third that observed in South American swidden horticulturalists. Consequently, some conventional wisdom regarding the interrelationship of socioecological settings and genetic structures may require reevaluation.

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Jakeman, E., and K. I. Hopcraft. "Laguerre population processes." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 468, no. 2142 (February 29, 2012): 1741–57. http://dx.doi.org/10.1098/rspa.2011.0557.

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We analyse a number of stochastic processes that give rise to first-order number statistics governed by Laguerre distributions with properties that lie between Poisson and geometric random variables. These distributions have hitherto been used to characterize the photon statistics of a coherent mixture of thermal and laser light. Here, we explore a number of discrete population processes that can lead to the same first-order statistics and correlation functions and highlight the distinguishing features that may be used to identify the relevant model from data.

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12

Feng, Xiaoqin, Rong Xie, Junyang Sheng, and Shuo Zhang. "Population Statistics Algorithm Based on MobileNet." Journal of Physics: Conference Series 1237 (June 2019): 022045. http://dx.doi.org/10.1088/1742-6596/1237/2/022045.

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13

Perlekar, Prasad, Roberto Benzi, David R. Nelson, and Federico Toschi. "Statistics of population dynamics in turbulence." Journal of Physics: Conference Series 318, no. 9 (December 22, 2011): 092025. http://dx.doi.org/10.1088/1742-6596/318/9/092025.

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14

Zinnecker, H., R. Köhler, and H. Jahreiß. "Binary Statistics Among Population II Stars." International Astronomical Union Colloquium 191 (August 2004): 33–36. http://dx.doi.org/10.1017/s0252921100008393.

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AbstractPopulation II stars are old, metal-poor, Galactic halo stars with high proper motion. We have carried out a visual binary survey of 164 halo stars in the solar neighborhood (median distance 100 pc), using infrared speckle interferometry, adaptive optics, and wide field direct imaging. The sample is based on the lists of Population II stars of Carney et al. (1994) and Norris (1986), with reliable distances from HIPPARCOS measurements.At face value, we found 33 binaries, 6 triples, and 1 quadruple system. When we limit ourselves to K-band flux ratios larger than 0.1 (to avoid background contamination), the numbers drop to 9 binaries and 1 triple, corresponding to a binary frequency of 6–7% above our angular resolution limit of about 0.1 arcsec. If we count all systems with K-band flux ratios greater than 0.01, we obtain 15 more binaries and 3 more triples, corresponding to a binary frequency for projected separations in excess of 10 AU of around 20 %. This is to be compared with the frequency of spectroscopic binaries (up to a period of 3000 days) of Population II stars of about 15 % (Latham et al. 2002). We also determined a semi-major axis distribution for our visual Population II binary and triple systems, which appears to be remarkably different from that of Population I stars. Second epoch-observations must help confirm the reality of our results.

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15

Tajima, Satohiro, and Masato Okada. "Population Coding of Natural Image Statistics." Neuroscience Research 68 (January 2010): e212. http://dx.doi.org/10.1016/j.neures.2010.07.2507.

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16

Surow, Jason B. "Include Population Statistics with Study Demographics." Otolaryngology–Head and Neck Surgery 122, no. 1 (January 2000): 156. http://dx.doi.org/10.1016/s0194-5998(00)70171-9.

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17

Goldstein, Nira A. "Include Population Statistics with Study Demographics." Otolaryngology–Head and Neck Surgery 122, no. 1 (January 2000): 156. http://dx.doi.org/10.1016/s0194-5998(00)70172-0.

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18

Suematsu, Kazumi. "On invariant property in population statistics." Mathematical Biosciences 226, no. 1 (July 2010): 38–45. http://dx.doi.org/10.1016/j.mbs.2010.03.008.

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19

Tederand, Lars-Gőran. "Early European population statistics and censuses." History of the Family 9, no. 1 (January 2004): 1–3. http://dx.doi.org/10.1016/j.hisfam.2003.10.001.

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20

Skvortsova, Elena. "The relationship between digitalization and quality of life: measurement and interpretation." Population 24, no. 2 (June 29, 2021): 66–75. http://dx.doi.org/10.19181/population.2021.24.2.6.

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The article discusses the indicators of digitalization and quality of life, and their relationship. An overall assessment of the digitalization in Russia is given on the basis of statistical data from the Federal State Statistics Service and the Network Readiness Index (NRI-2020), which consists of 62 different indicators, including indicators of the quality of life. A number of statistical indicators in the field of ICT, published by the Federal State Statistics Service annually, characterize the digitalization process in dynamics. The Network Readiness Index demonstrates the ability of national economy to develop in the context of the digital transformation. Russia ranks 48th out of 134 countries in the NRI. Based on the Index, the points of Russia's lagging behind the leading countries and the points of growth of network readiness are identified. The mutual influence of digitalization and quality of life is analysed at a quantitative level, and its interpretation is given at a qualitative level. Separate indicators of the NRI in the overall rating of countries characterize Russia's network readiness as being at a fairly high level, especially in the area of possessing resources and skills for effective use of the Internet by the population, business and government. This conclusion can be confirmed by the facts that Russia has its own national IT-services, competing with global foreign ones. Russia needs to make certain adjustments related to the lag in network readiness: to intensify investments in the digital infrastructure of the 5th generation, in the latest technologies, to improve the regulatory framework, the legislation on e-commerce. It is concluded that the relatively slow pace of the digitalization of Russian society, with the account of its possible negative socio-economic consequences, may rather be an advantage in adapting the population to the digital transformation.

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21

Jäntschi, Lorentz. "Detecting Extreme Values with Order Statistics in Samples from Continuous Distributions." Mathematics 8, no. 2 (February 8, 2020): 216. http://dx.doi.org/10.3390/math8020216.

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In the subject of statistics for engineering, physics, computer science, chemistry, and earth sciences, one of the sampling challenges is the accuracy, or, in other words, how representative the sample is of the population from which it was drawn. A series of statistics were developed to measure the departure between the population (theoretical) and the sample (observed) distributions. Another connected issue is the presence of extreme values—possible observations that may have been wrongly collected—which do not belong to the population selected for study. By subjecting those two issues to study, we hereby propose a new statistic for assessing the quality of sampling intended to be used for any continuous distribution. Depending on the sample size, the proposed statistic is operational for known distributions (with a known probability density function) and provides the risk of being in error while assuming that a certain sample has been drawn from a population. A strategy for sample analysis, by analyzing the information about quality of the sampling provided by the order statistics in use, is proposed. A case study was conducted assessing the quality of sampling for ten cases, the latter being used to provide a pattern analysis of the statistics.

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22

Klassmann, Alexander, and Mathieu Gautier. "Detecting selection using extended haplotype homozygosity (EHH)-based statistics in unphased or unpolarized data." PLOS ONE 17, no. 1 (January 18, 2022): e0262024. http://dx.doi.org/10.1371/journal.pone.0262024.

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Analysis of population genetic data often includes a search for genomic regions with signs of recent positive selection. One of such approaches involves the concept of extended haplotype homozygosity (EHH) and its associated statistics. These statistics typically require phased haplotypes, and some of them necessitate polarized variants. Here, we unify and extend previously proposed modifications to loosen these requirements. We compare the modified versions with the original ones by measuring the false discovery rate in simulated whole-genome scans and by quantifying the overlap of inferred candidate regions in empirical data. We find that phasing information is indispensable for accurate estimation of within-population statistics (for all but very large samples) and of cross-population statistics for small samples. Ancestry information, in contrast, is of lesser importance for both types of statistic. Our publicly available R package rehh incorporates the modified statistics presented here.

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23

Zhou, Yixing, and Laurence J. C. Ma. "China's Urban Population Statistics: A Critical Evaluation." Eurasian Geography and Economics 46, no. 4 (June 2005): 272–89. http://dx.doi.org/10.2747/1538-7216.46.4.272.

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24

Abbott, Owen, Becky Tinsley, Steve Milner, Andrew C. Taylor, and Rosalind Archer. "Population statistics without a Census or register." Statistical Journal of the IAOS 36, no. 1 (March 27, 2020): 97–105. http://dx.doi.org/10.3233/sji-190593.

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25

Lippi, Giuseppe, Camilla Mattiuzzi, Fabian Sanchis-Gomar, and Chiara Bovo. "Cardiovascular risk factors: updated worldwide population statistics." Journal of Hospital Management and Health Policy 4 (March 2020): 3. http://dx.doi.org/10.21037/jhmhp.2019.12.03.

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26

F., P., and Bernard Benjamin. "Population Statistics. A Review of UK Sources." Population (French Edition) 45, no. 1 (January 1990): 213. http://dx.doi.org/10.2307/1533268.

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27

Lee, Gunhak, and Kamyoung Kim. "Estimating de facto Population Using Spatial Statistics*." Journal of the Korean Cartographic Association 16, no. 2 (August 30, 2016): 71–93. http://dx.doi.org/10.16879/jkca.2016.16.2.071.

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28

Hilliam, Rachel, and Carol Calvert. "Interactive statistics for a diverse student population." Open Learning: The Journal of Open, Distance and e-Learning 34, no. 2 (October 6, 2017): 203–10. http://dx.doi.org/10.1080/02680513.2017.1386095.

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29

LePage, James. "The importance of population-level incarceration statistics." Lancet Public Health 4, no. 7 (July 2019): e312-e313. http://dx.doi.org/10.1016/s2468-2667(19)30103-3.

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30

Itoh, Yoshiaki, and Hosam M. Mahmoud. "Age statistics in the Moran population model." Statistics & Probability Letters 74, no. 1 (August 2005): 21–30. http://dx.doi.org/10.1016/j.spl.2005.04.028.

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31

Overway, Ken. "Population versus Sampling Statistics: A Spreadsheet Exercise." Journal of Chemical Education 85, no. 5 (May 2008): 749. http://dx.doi.org/10.1021/ed085p749.

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32

Krotki, Karol J., and Bernard Benjamin. "Population Statistics: A Review of UK Sources." Statistician 38, no. 4 (1989): 305. http://dx.doi.org/10.2307/2349064.

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33

Arber, Sara, and B. Benjamin. "Population Statistics: A Review of UK Source." Journal of the Royal Statistical Society. Series A (Statistics in Society) 153, no. 3 (1990): 398. http://dx.doi.org/10.2307/2982981.

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Stacy, Athena, and Volker Bromm. "Constraining the statistics of Population III binaries." Monthly Notices of the Royal Astronomical Society 433, no. 2 (June 3, 2013): 1094–107. http://dx.doi.org/10.1093/mnras/stt789.

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Sköld, Peter. "The birth of population statistics in Sweden." History of the Family 9, no. 1 (January 2004): 5–21. http://dx.doi.org/10.1016/j.hisfam.2001.10.001.

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36

Pozniak, O. "Problems of statistical evaluation of the volume of non-registered population of Kyiv." Bulletin of Taras Shevchenko National University of Kyiv. Economics, no. 134 (2013): 61–64. http://dx.doi.org/10.17721/1728-2667.2013/134-1/17.

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The statistic evaluation of the real population size in Kyiv based on data from government statistics on the number of de-jure population in the capital, taking into account information from other sources is done. Terms “nightly population” and “daily population” are introduced into scientific use.

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Wheatcroft, Stephen G. "Soviet Statistics under Stalinism: Reliability and Distortions in Grain and Population Statistics." Europe-Asia Studies 71, no. 6 (July 3, 2019): 1013–35. http://dx.doi.org/10.1080/09668136.2019.1636934.

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Karki, Murari. "Drawing Inferences on The Basis of Level of Statistical Tools Used in Data Analysis." Interdisciplinary Journal of Management and Social Sciences 2, no. 2 (December 31, 2021): 59–72. http://dx.doi.org/10.3126/ijmss.v2i2.42602.

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Statistics is the science which deals with the collection, organisation, tabulation, manipulation, analysis and interpretation of observed results (Winters R, Winters A, Amedee RG. Statistics: A brief overview. Ochsner J. 2010;10:213-6.).Using all the statistical procedure, we draw some inferences about population parameter from the study sample. Before drawing inferences about population parameters, we use different levels of statistical tools. This article is meant to provide some information to reader about various statistical methods that are useful for the process of making inferences about parameters. This article is focused on the various levels of statistical tools, difference between descriptive and inferential statistics and various test statistic to make conclusion about population parameters.

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Raymer, James, Phil Rees, and Ann Blake. "Frameworks for Guiding the Development and Improvement of Population Statistics in the United Kingdom." Journal of Official Statistics 31, no. 4 (December 1, 2015): 699–722. http://dx.doi.org/10.1515/jos-2015-0041.

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Abstract The article presents central frameworks for guiding the development and improvement of population statistics. A shared understanding between producers and users of statistics is needed with regard to the concepts, data, processes, and outputs produced. In the United Kingdom, population estimates are produced by conducting decennial censuses and by estimating intercensus populations through the addition and subtraction of the demographic components of change derived from registers of vital events and from a combination of administrative data and surveys for internal and international migration. In addition, data cleaning, imputation, and modelling may be required to produce the desired population statistics. The frameworks presented in this paper are useful for aligning the required concepts of population statistics with the various sources of available data. Taken together, they provide a general ‘recipe’ for the continued improvement and expansion of official statistics on population and demographic change.

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Heuser, Aaron, Minh Huynh, and Joshua C. Chang. "Asymptotic convergence in distribution of the area bounded by prevalence-weighted Kaplan–Meier curves using empirical process modelling." Royal Society Open Science 5, no. 11 (November 2018): 180496. http://dx.doi.org/10.1098/rsos.180496.

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The Kaplan–Meier product-limit estimator is a simple and powerful tool in time to event analysis. An extension exists for populations stratified into cohorts where a population survival curve is generated by weighted averaging of cohort-level survival curves. For making population-level comparisons using this statistic, we analyse the statistics of the area between two such weighted survival curves. We derive the large sample behaviour of this statistic based on an empirical process of product-limit estimators. This estimator was used by an interdisciplinary National Institutes of Health–Social Security Administration team in the identification of medical conditions to prioritize for adjudication in disability benefits processing.

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Pereira, Kristal, Hassan Ali, Rajesh Thirumaran, and Krishna Desai. "Pineal gland: Sleep, malignancy and statistics." Journal of Clinical Oncology 42, no. 16_suppl (June 1, 2024): e14042-e14042. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.e14042.

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e14042 Background: The pineal gland is a neuroendocrine gland located deep in the middle brain that regulates the circadian rhythm through Melatonin. Pineal parenchymal tumors arise from pineocytes, have no sexual predominance, occur most frequently in the pediatric population and result in melatonin level disruptions.Pineal region tumors can spread via CSF to other areas in the CNS. The first treatment for pineal region tumors is surgery. Treatments after surgery may include radiation, chemotherapy or clinical trials. Methods: Data was collected from Surveillance, Epidemiology and End Result database Research Plus Data, 17 Registries, Nov 2022 Sub (2000-2020). Pineal gland tumor cases that were labeled as the primary site were extracted from the data base. Further selection was made using the ICD Code D75.3 for neoplasm of pineal gland-primary site labelled. The data was stratified based on age, sex, race and survival curves were compared using the Log-Rank test (GraphPad Prism). Results: A total of 416 pineal gland tumor cases were found, of which ~ 50.48% were males. These tumors were most commonly seen in White (51.68%) patients followed by Hispanic (23.32%), Black (16.10%), Asians/Pacific Islander (6.97%) and Alaskans/Native American (0.96%) patients. The median age of diagnosis was 24.5 years. The incidence rate (per 1,000,000 population) for the general population has increased from 0.69 in 2000 to 0.73 in 2020. As of 2020, the incidence was noted to be higher in males, although overall the incidence among females has been ion the rise. Incidence rate was highest among the Native Americans/Alaskans population followed by Hispanics, Asians/Pacific Islanders, Blacks and Whites. Within the races, incidence was noted to be increasing in the Native Americans/Alaskans & Hispanic populations, stable in the Asians/Pacific Islanders & Black populations and decreasing amongst the White population over the period of 20 years. When the survival curves were compared on the basis of gender and race, the data was clinically significant only for gender. The median of survival (mOS) for males was 146 months but was undefined for females (CI:5.344-12.55, HR: 8.191, p <0.0001) mostly likely due to zero death events being recorded for females. Conclusions: Pineal gland tumors are rarely encountered malignancy with only 416 case reported in the last two decades. It has an almost equal predilection for males and females, more common in the younger population. The incidence is higher among males, although being relatively constant since 2000, and is trending up in females. Overall survival was superior in females with no reported death events. Native Americans/Alaskans are more affected overall survival is independent of the race.

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Thrift, Amanda G., Tharshanah Thayabaranathan, George Howard, Virginia J. Howard, Peter M. Rothwell, Valery L. Feigin, Bo Norrving, Geoffrey A. Donnan, and Dominique A. Cadilhac. "Global stroke statistics." International Journal of Stroke 12, no. 1 (October 28, 2016): 13–32. http://dx.doi.org/10.1177/1747493016676285.

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Background Up to date data on incidence, mortality, and case-fatality for stroke are important for setting the agenda for prevention and healthcare. Aims and/or hypothesis We aim to update the most current incidence and mortality data on stroke available by country, and to expand the scope to case-fatality and explore how registry data might be complementary. Methods Data were compiled using two approaches: (1) an updated literature review building from our previous review and (2) direct acquisition and analysis of stroke events in the World Health Organization (WHO) mortality database for each country providing these data. To assess new and/or updated data on incidence, we searched multiple databases to identify new original papers and review articles that met ideal criteria for stroke incidence studies and were published between 15 May 2013 and 31 May 2016. For data on case-fatality, we searched between 1980 and 31 May 2016. We further screened reference lists and citation history of papers to identify other studies not obtained from these sources. Mortality codes for ICD-8, ICD-9, and ICD-10 were extracted. Using population denominators provided for each country, we calculated both the crude mortality from stroke and mortality adjusted to the WHO world population. We used only the most recent year reported to the WHO for which both population and mortality data were available. Results Fifty-one countries had data on stroke incidence, some with data over many time periods, and some with data in more than one region. Since our last review, there were new incidence studies from 12 countries, with four meeting pre-determined quality criteria. In these four studies, the incidence of stroke, adjusted to the WHO World standard population, ranged from 76 per 100,000 population per year in Australia (2009–10) up to 119 per 100,000 population per year in New Zealand (2011–12), with the latter being in those aged at least 15 years. Only in Martinique (2011–12) was the incidence of stroke greater in women than men. In countries either lacking or with old data on stroke incidence, eight had national clinical registries of hospital based data. Of the 128 countries reporting mortality data to the WHO, crude mortality was greatest in Kazhakstan (in 2003), Bulgaria, and Greece. Crude mortality and crude incidence of stroke were both positively correlated with the proportion of the population aged ≥ 65 years, but not with time. Data on case-fatality were available in 42 studies in 22 countries, with large variations between regions. Conclusions In this updated review, we describe the current data on stroke incidence, case-fatality and mortality in different countries, and highlight the growing trend for national clinical registries to provide estimates in lieu of community-based incidence studies.

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Kimbeng, C. A., and E. T. Bingham. "Population improvement in lucerne (Medicago sativa L.): genetic analyses in original and improved populations." Australian Journal of Experimental Agriculture 39, no. 5 (1999): 549. http://dx.doi.org/10.1071/ea98155.

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Most quantitative genetics analyses are limited to the first (mean) and second (variance) degree statistics and their derivatives. Analyses based on third (skewness) and fourth (kurtosis) degree statistics can be useful especially for detecting and characterising the nature of gene interactions. Third and fourth degree statistics were analysed and used to interpret differences in forage yield among S1 families of lucerne derived from double-cross populations that were synthesised before (OGDC) and after (AGDC) improvement via inbreeding and selection. Higher levels of genetic load (deleterious alleles) were revealed in the OGDC population compared with the improved population. The analyses also revealed the importance of gene interaction for forage yield in lucerne. In the unselected OGDC population, interaction between alleles in repulsion phase linkages was more important, whereas, in the selected AGDC population, interaction between alleles linked in coupling phase assumed greater importance. The above results suggest that inbreeding and selection in lucerne can accumulate favourable alleles over generations of selection and result in population improvement. Skewness and kurtosis are relatively easy to compute and interpret and should serve as valuable tools in tetraploid quantitative genetics analyses.

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Yu, Jianming, and Yuan Ma. "Population Data Spatial Analysis in the Border Area of Shanxi, Hebei and Inner Mongolia in China." International Journal of Geology and Earth Sciences 6, no. 3 (September 2020): 27–34. http://dx.doi.org/10.18178/ijges.6.3.27-34.

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Spatialization of population statistics is an effective way to solve the problem of data fusion between statistics and natural factors. In order to solve the problems of data aging and inadequate spatial precision of population data in Inner Mongolia Bureau, this study used NPP/VIIRS night light data, residential population statistics and land use data as data sources, and selected appropriate models to simulate population spatial distribution at county level in the border area of Shanxi, Hebei and Mongolia. Based on land use data, a stepwise regression model is established to generate spatialized population data of each county in the border area, and then the accuracy of the evaluation data is tested with the standard of resident population statistics. Finally, the goal of the transformation of population statistics from administrative divisions to kilometer grids is realized.

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Beaumont, Mark A., Wenyang Zhang, and David J. Balding. "Approximate Bayesian Computation in Population Genetics." Genetics 162, no. 4 (December 1, 2002): 2025–35. http://dx.doi.org/10.1093/genetics/162.4.2025.

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Abstract We propose a new method for approximate Bayesian statistical inference on the basis of summary statistics. The method is suited to complex problems that arise in population genetics, extending ideas developed in this setting by earlier authors. Properties of the posterior distribution of a parameter, such as its mean or density curve, are approximated without explicit likelihood calculations. This is achieved by fitting a local-linear regression of simulated parameter values on simulated summary statistics, and then substituting the observed summary statistics into the regression equation. The method combines many of the advantages of Bayesian statistical inference with the computational efficiency of methods based on summary statistics. A key advantage of the method is that the nuisance parameters are automatically integrated out in the simulation step, so that the large numbers of nuisance parameters that arise in population genetics problems can be handled without difficulty. Simulation results indicate computational and statistical efficiency that compares favorably with those of alternative methods previously proposed in the literature. We also compare the relative efficiency of inferences obtained using methods based on summary statistics with those obtained directly from the data using MCMC.

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O’Beirne, Rónán. "Population Statistics2001421Johan van der Heyden. Population Statistics. Web site, Visited July 2001." Reference Reviews 15, no. 8 (August 2001): 15. http://dx.doi.org/10.1108/rr.2001.15.8.15.421.

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Kokic, P. N., and N. C. Weber. "Rates of strong convergence for U-statistics in finite populations." Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics 50, no. 3 (June 1991): 468–80. http://dx.doi.org/10.1017/s1446788700033024.

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AbstractLet UNn be a U-statistic based on a simple random sample of size n selected without replacement from a finite population of size N. Rates of convergence results in the strong law are obtained for UNn, which are similar to those known for classical U-statistics based on samples of independent and identically distributed (iid) random variables.

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Krivenko, Natalya. "Raising the level of the regional healthcare development." Population 24, no. 4 (December 22, 2021): 122–33. http://dx.doi.org/10.19181/population.2021.24.4.10.

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The article is devoted to the consideration of the possibilities of change management in the regional health care system. The research methodology includes the provisions of theories of change management, innovation management, concepts of organizational development, strategic management. The author's approach to managing changes in the Russian healthcare system at the regional level was developed using a systemic, multilevel, integrative, interdisciplinary approach, methods of comparative, factor analysis, instrumental methods of statistics. The study revealed shortcomings of the management systems in the healthcare during the pandemic. Proposed current approaches to change management, author's approach to their assessment in regional health care. The studies carried out show the high potential of the Russian medical science, the sanitary and epidemiological service, the rapid adaptation of the healthcare system in the face of the challenges associated with the pandemic. Along with the success of the Russian healthcare, serious problems have been identified in the management of the industry, including due to insufficient resource provision. A conclusion is made about the possibilities of increasing the level of development of the regional healthcare as a result changes in the industry through integration of medical science and practical healthcare, active implementation of innovations, digitalization, public-private partnership tools that contribute to preservation of the human potential and strengthening the socio-demographic, economic security of the region.

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Bloznelis, Mindaugas, Friedrich Götze, and Friedrich Gotze. "An Edgeworth Expansion for Finite-Population U-Statistics." Bernoulli 6, no. 4 (August 2000): 729. http://dx.doi.org/10.2307/3318517.

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Matthews, Keith J. "Death into Life: Population Statistics from Cemetery Data." Theoretical Roman Archaeology Journal, no. 1993 (April 16, 1999): 141. http://dx.doi.org/10.16995/trac1993_141_161.

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Journal articles on the topic 'Population statistics'

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