Academic literature on the topic 'Medical statistics'

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Journal articles on the topic "Medical statistics"

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Dobson, A. J. "Medical statistics." Medical Journal of Australia 150, no. 1 (1989): 44–45. http://dx.doi.org/10.5694/j.1326-5377.1989.tb136327.x.

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Fukaya, Takashi. "Medical Statistics." Equilibrium Research 61, no. 4 (2002): 221–23. http://dx.doi.org/10.3757/jser.61.221.

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Dai, Feng. "Medical Statistics." Anesthesia & Analgesia 125, no. 5 (2017): 1814. http://dx.doi.org/10.1213/ane.0000000000002420.

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Betts, Anne. "Medical statistics." Nurse Education Today 10, no. 6 (1990): 474. http://dx.doi.org/10.1016/0260-6917(90)90124-9.

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Alderson, Michael. "Medical statistics: overview." Aslib Proceedings 38, no. 6/7 (1986): 183–86. http://dx.doi.org/10.1108/eb051012.

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Rees, D. G., and R. F. Mould. "Introductory Medical Statistics." Statistician 38, no. 2 (1989): 142. http://dx.doi.org/10.2307/2348325.

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Morita, Satoshi. "MEDICAL STATISTICS FOR SURGEONS." Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association) 78, no. 7 (2017): 1688–90. http://dx.doi.org/10.3919/jjsa.78.1688.

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Caprioli, Joseph. "Medical Uses of Statistics." Ophthalmic Surgery, Lasers and Imaging Retina 19, no. 2 (1988): 146. http://dx.doi.org/10.3928/1542-8877-19880201-23.

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Armitage, Peter. "Biometry and Medical Statistics." Biometrics 41, no. 4 (1985): 823. http://dx.doi.org/10.2307/2530956.

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Cornell, Richard G., Fredric M. Wolf, John C. Bailar, and Frederick Mosteller. "Medical Uses of Statistics." Journal of the American Statistical Association 84, no. 406 (1989): 629. http://dx.doi.org/10.2307/2289981.

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Dissertations / Theses on the topic "Medical statistics"

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Wong, Sik-kwan Francis. "Outcome of a web-based statistic laboratory for teaching and learning of medical statistics." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43251687.

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Raner, Max. "On logistic regression and a medical application." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420680.

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Hua, Hairui. "Survival modelling in mathematical and medical statistics." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5808/.

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An essential aspect of survival analysis is the estimation and prediction of survival probabilities for individuals. For this purpose, mathematical modelling of the hazard rate function is a fundamental issue. This thesis focuses on the novel estimation and application of hazard rate functions in mathematical and medical research. In mathematical research we focus on the development of a semiparametric kernel-based estimate of hazard rate function and a L\(_1\) error optimal kernel hazard rate estimate. In medical research we concentrate on the development and validation of survival models usi
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Buchan, Iain Edward. "The development of a statistical computer software resource for medical research." Thesis, University of Liverpool, 2000. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:71360.

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Medical research is often weakened by poor statistical practice, and inappropriate use of statistical computer software is part of this problem. The statistical knowledge that medical researchers require has traditionally been gained in both dedicated and ad hoc learning time, often separate from the research processes in which the statistical methods are applied. Computer software, however, can be written to flexibly support statistical practice. The work of this thesis was to explore the possibility of, and if possible, to create, a resource supporting medical researchers in statistical know
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黃式鈞 and Sik-kwan Francis Wong. "Outcome of a web-based statistic laboratory for teaching and learning of medical statistics." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43251687.

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Sonesson, Christian. "On statistical surveillance issues of optimality and medical applications /." Göteborg, Sweden : Stockholm : Statistical Research Unit, Göteborg University ; Almqvist & Wiksell International, 2003. http://catalog.hathitrust.org/api/volumes/oclc/53500706.html.

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Coupal, Louis. "The EM algorithm : an overview with applications to medical data." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=56644.

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Owing to their complex design and use of live subjects as experimental units, missing or incomplete data is common place in medical experiments. The great increase in difficulty of maximum likelihood based analysis of incomplete data experiments compared to a similar complete data analysis encourages many medical researchers to ignore cases with missing data in favour of performing a "complete" cases analysis.<br>The expectation maximization algorithm (EM for short) is often an easily implemented algorithm that provides estimates of parameters in models with missing data. The EM algorithm unif
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Walker, Stephen Graham. "Bayesian parametric and nonparametric methods with applications in medical statistics." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307519.

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Tom, Brian Dermot Ming. "Modelling event-history data in the context of medical statistics." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624771.

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Joubert, Georgina. "Variable selection in logistic regression, with special application to medical data." Master's thesis, University of Cape Town, 1994. http://hdl.handle.net/11427/17006.

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Bibliography: pages 121-126.<br>In this thesis, the various methods of variable selection which have been proposed in the statistical, epidemiological and medical literature for prediction and estimation problems in logistic regression will be described. The procedures will be applied to medical data sets. On the basis of the literature review as well as the applications to examples, strengths and weaknesses of the approaches will be identified. The procedures will be compared on the basis of the results obtained, their appropriateness for the specific aim of the analysis, and demands they pla
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Books on the topic "Medical statistics"

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HK, Ramakrishna. Medical Statistics. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1923-4.

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Mould, Richard F. Introductory medical statistics. 2nd ed. Institue of Physics Pub., 1989.

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C, Sterne Jonathan A., and Kirkwood Betty R, eds. Essential medical statistics. 2nd ed. Blackwell Science, 2003.

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Mould, R. F. Introductory medical statistics. 2nd ed. Adam Hilger, 1989.

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Ying, Lu, and Fang Jiqian, eds. Advanced medical statistics. World Scientific, 2003.

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Indrayan, Abhaya. Medical biostatistics. Marcel Dekker, 2000.

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Indrayan, Abhaya. Medical biostatistics. 2nd ed. Chapman & Hall/CRC, 2008.

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1970-, Taylor Gordon, ed. Medical statistics made easy 2. 2nd ed. Scion, 2008.

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HARRIS, M. Medical Statistics Made Easy. Taylor & Francis Group Plc, 2004.

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Gehan, Edmund A., and Noreen A. Lemak. Statistics in Medical Research. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2518-9.

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Book chapters on the topic "Medical statistics"

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Grieve, Andrew P. "Medical Statistics." In The Textbook of Pharmaceutical Medicine. Blackwell Publishing Ltd., 2013. http://dx.doi.org/10.1002/9781118532331.ch9.

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Farewell, Vern T., and Daniel M. Farewell. "Medical Statistics." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_362.

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Farewell, Vern T., and Daniel M. Farewell. "Medical Statistics." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-69359-9_357.

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McParland, Brian J. "Collision Statistics." In Medical Radiation Dosimetry. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5403-7_16.

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Everitt, Brian, and Sophia Rabe-Hesketh. "Prologue: Medical Statistics." In Analyzing Medical Data Using S-PLUS. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3285-6_1.

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HK, Ramakrishna. "Introduction." In Medical Statistics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1923-4_1.

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HK, Ramakrishna. "Model Example." In Medical Statistics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1923-4_10.

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HK, Ramakrishna. "My Journey from a Rural Surgeon to an Author." In Medical Statistics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1923-4_2.

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HK, Ramakrishna. "Understanding Biostatistics, Probability, and Tests of Significance." In Medical Statistics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1923-4_3.

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HK, Ramakrishna. "Understanding Basic Statistical Terms." In Medical Statistics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1923-4_4.

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Conference papers on the topic "Medical statistics"

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Lu, Yu, and Roummel F. Marcia. "Noise Model Statistics Regularization for Deep Learning Biomedical Imaging." In 2025 IEEE Medical Measurements & Applications (MeMeA). IEEE, 2025. https://doi.org/10.1109/memea65319.2025.11068001.

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Sokol, Yevgen, Kostyantyn Kolisnyk, Viktoriia Kolisnyk, Pavlo Shchapov, Tatyana Bernadskaya, and Andriy Chepurko. "Improving Medical Diagnostics Through the Use of Mathematical Statistics Methods." In 2024 IEEE 17th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET). IEEE, 2024. http://dx.doi.org/10.1109/tcset64720.2024.10755844.

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Nanni, Francesca M. C., Francesco Lestini, and Gaetano Marrocco. "Taxonomy and Statistics of Cyber and Physical Vulnerabilities in Medical Devices." In 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2024. http://dx.doi.org/10.23919/splitech61897.2024.10612327.

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Rajbhandary, Paurakh L., and Norbert J. Pelc. "Statistical bias in material decomposition in low photon statistics region." In SPIE Medical Imaging, edited by Christoph Hoeschen, Despina Kontos, and Thomas G. Flohr. SPIE, 2015. http://dx.doi.org/10.1117/12.2081326.

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Lei, Tianhu. "Statistics of MR signals: revisited." In Medical Imaging, edited by Jiang Hsieh and Michael J. Flynn. SPIE, 2007. http://dx.doi.org/10.1117/12.709388.

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Wu, Kenong, Steven Schreiner, Brent Mittelstadt, and Leland Witherspoon. "Image segmentation by gradient statistics." In Medical Imaging '98, edited by Kenneth M. Hanson. SPIE, 1998. http://dx.doi.org/10.1117/12.310885.

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Whiting, Bruce R., and Edward Muka. "Image quantization: statistics and modeling." In Medical Imaging '98, edited by James T. Dobbins III and John M. Boone. SPIE, 1998. http://dx.doi.org/10.1117/12.317025.

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Lei, Tianhu, and Jayaram K. Udupa. "Statistical properties of x-ray CT and MRI: from imaging physics to image statistics." In Medical Imaging 2002, edited by Larry E. Antonuk and Martin J. Yaffe. SPIE, 2002. http://dx.doi.org/10.1117/12.465626.

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Whiting, Bruce R. "Fundamental statistics of the imaging process." In Medical Imaging 1995, edited by Richard L. Van Metter and Jacob Beutel. SPIE, 1995. http://dx.doi.org/10.1117/12.208373.

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Stangl, Dalene. "Design of an internet course for training medical researchers in Bayesian statistical methods." In Training Researchers in the Use if Statistics. International Association for Statistical Education, 2000. http://dx.doi.org/10.52041/srap.00204.

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Access to statistical information is at an all-time high, and the information age is fuelling this access at an extraordinary pace. This access increases the capacity for medical researchers to use statistics to guide decision making, yet few courses teach methods to do so. Rarely does statistics training include methods for incorporating statistical output into decision making. Mass education and educational reform is needed. Technological advances of the past decade make this goal possible, and allow us to dramatically change how we use, teach, and think about statistics. This paper covers t
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Reports on the topic "Medical statistics"

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Eremina, I. I., D. M. Lyisanov, and A. S. Pavlova. An automated application for collecting medical statistics. OFERNIO, 2021. http://dx.doi.org/10.12731/ofernio.2021.24899.

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L, Santo, and Kang K. National Hospital Ambulatory Medical Care Survey: 2019 National Summary Tables. National Center for Health Statistics (U.S.), 2023. http://dx.doi.org/10.15620/cdc:123251.

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The Ambulatory and Hospital Care Statistics Branch of the National Center for Health Statistics (NCHS) is pleased to release the most current nationally representative data on ambulatory care visits to physician offices in the United States. Statistics are presented on physician practices as well as patient and visit characteristics using data collected in the 2019 National Ambulatory Medical Care Survey (NAMCS). NAMCS is an annual nationally representative sample survey of visits to nonfederal office-based patient care physicians, excluding anesthesiologists, radiologists, and pathologists.
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Mian, Anam, and Holly Gross. ARL Academic Health Sciences Library Statistics 2022. Association of Research Libraries, 2023. http://dx.doi.org/10.29242/hslstats.2022.

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This edition of the ARL Academic Health Sciences Library Statistics is a compilation of data that describes collections, expenditures, personnel, and services in medical libraries at ARL member institutions in the US and Canada in 2022.
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Santo, Loredana, Titilayo Okeyode,, and Susan Schappert. National Ambulatory Medical Care Survey–Community Health Centers: 2020 National Summary Tables. National Center for Health Statistics (U.S.), 2022. http://dx.doi.org/10.15620/cdc:117687.

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The Ambulatory and Hospital Care Statistics Branch is pleased to release nationally representative estimates of ambulatory care visits made to both physicians and nonphysician clinicians (physician assistants [PAs], nurse practitioners [NPs], and nurse midwives) at community health centers (CHCs) in the United States. These web tables provide national estimates of visits to CHC providers and their characteristics.
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Mora-García, Claudio, and Andy A. Pearson. Enables and Bottlenecks to Upgrading along the Medical Device Global Value Chain in Costa Rica. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013458.

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The medical device sector is a critical driver of Costa Rica's economic development, accounting for 37 percent of total exports as of 2022. This paper analyzes the main enablers and bottlenecks in upgrading along the medical device global value chain into higher value-added segments. The mixed-method approach we use includes documentary analysis, 15 interviews with key stakeholders, and descriptive statistics of different datasets. Results indicate five enablers for upgrading: (i) a strategic location and economic, political, and social stability, education, human talent, and a favorable inves
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KHUDALOVA, M., V. FILONENKO, and E. KUDZOEVA. PSYCHOSOMATICS IN CONNECTION WITH THE AFFECTIVE DISORDERS OF PERSONALITY. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-365-374.

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In recent years, we can notice a significant increase in psychosomatic disorders among borderline mental pathology, which are reasonably considered “the pathology of modern civilization”. The purpose of this study is to identify the relationship between psychosomatic disorders and the affective disorders of the personality. The study used the following methods: a diagnostic conversation and analysis of medical documents with the results of clinical examination, a scale for psychological express diagnostics of semi-structured depressive disorders (based on MMPI), a self-assessment scale by Ch.D
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Gindi, Renee. Health, United States, 2019. Centers for Disease Control and Prevention (U.S.), 2021. http://dx.doi.org/10.15620/cdc:100685.

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Health, United States, 2019 is the 43rd report on the health status of the nation and is submitted by the Secretary of the Department of Health and Human Services to the President and the Congress of the United States in compliance with Section 308 of the Public Health Service Act. This report was compiled by the National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention (CDC). The Health, United States series presents an annual overview of national trends in key health indicators. The 2019 report presents trends and current information on selected measures
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Brown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.

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30 Day Hospital Readmission Rates, Frequencies, and Heart Failure Classification for Patients with Heart Failure Background Congestive heart failure (CHF) is the leading cause of mortality, morbidity, and disability worldwide among patients. Both the incidence and the prevalence of heart failure are age dependent and are relatively common in individuals 40 years of age and older. CHF is one of the leading causes of inpatient hospitalization readmission in the United States, with readmission rates remaining above the 20% goal within 30 days. The Center for Medicare and Medicaid Services imposes
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Qin, Zhuzhu, Xutong Zheng, Xiaoling Zou, et al. Status Quo of Stigma and Correlated Psychological Factors Among Breast Cancer Patients in China: A Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.4.0012.

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Review question / Objective: This meta-analysis aimed to evaluate the level of stigma and the associated psychological factors among Chinese breast cancer patients. Condition being studied: According to the latest global cancer burden statistics provided by the International Agency for Research on Cancer (IARC) of the World Health Organization in 2020, breast cancer accounts for approximately 30% of the most common malignancies diagnosed in women worldwide.Breast cancer is a significant health concern for women in China. The estimated population diagnosed with breast cancer has been rising, wi
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Lucas, Christine, Emily Hadley, Jason Nance, et al. Machine Learning for Medical Coding in Health Care Surveys. National Center for Health Statistics (U.S.), 2021. http://dx.doi.org/10.15620/cdc:109828.

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