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Journal articles on the topic 'Cross-sectional Regression'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Robinson, Peter M. "Nonparametric trending regression with cross-sectional dependence." Journal of Econometrics 169, no. 1 (July 2012): 4–14. http://dx.doi.org/10.1016/j.jeconom.2012.01.005.

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2

Liu, Jie, Zaixia Hu, and Shaohua Tan. "Cross-sectional stock return analysis using support vector regression." Applied Economics Letters 17, no. 1 (April 2, 2008): 71–74. http://dx.doi.org/10.1080/13504850701719777.

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3

Vanhonacker, Wilfried R., and Diana Day. "Cross-Sectional Estimation in Marketing: Direct Versus Reverse Regression." Marketing Science 6, no. 3 (August 1987): 254–67. http://dx.doi.org/10.1287/mksc.6.3.254.

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4

MARTUZZI, M., and P. ELLIOTT. "CROSS-SECTIONAL DATA ANALYSIS: A SIMPLE ALTERNATIVE TO LOGISTIC REGRESSION." Epidemiology 7, Supplement (July 1996): S70. http://dx.doi.org/10.1097/00001648-199607001-00207.

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Hodoshima, Jiro, Xavier Garza–Gómez, and Michio Kunimura. "Cross-sectional regression analysis of return and beta in Japan." Journal of Economics and Business 52, no. 6 (November 2000): 515–33. http://dx.doi.org/10.1016/s0148-6195(00)00031-x.

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Kirby, Chris. "Firm Characteristics, Cross-Sectional Regression Estimates, and Asset Pricing Tests." Review of Asset Pricing Studies 10, no. 2 (June 25, 2019): 290–334. http://dx.doi.org/10.1093/rapstu/raz005.

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Abstract I test a number of well-known asset pricing models using regression-based managed portfolios that capture nonlinearity in the cross-sectional relation between firm characteristics and expected stock returns. Although the average portfolio returns point to substantial nonlinearity in the data, none of the asset pricing models successfully explain the estimated nonlinear effects. Indeed, the estimated expected returns produced by the models display almost no variation across portfolios. Because the tests soundly reject every model considered, it is apparent that nonlinearity in the rela

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Wang, Na. "Association between Arsenic and Generalized Anxiety Disorder: A Cross-Sectional Study." Women Health Care and Issues 4, no. 4 (May 27, 2021): 01–05. http://dx.doi.org/10.31579/2642-9756/054.

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Aim: In some regions of Bayannaoer arsenic concentration in well drinking water is higher than the international standard of 10 μg/L. The purpose of this study is to evaluate the impact of exposures to arsenic in drinking water on generalized anxiety disorder (GAD). Materials and Methods: A survey was conducted in 2016 among villagers in Hangjinhou County, Bayannaoer City, Inner Mongolia. A questionnaire was used to inquire about GAD, arsenic related neurological symptoms. Arsenic concentration in the water was measured and arsenicosis prevalence was assessed. Multinomial logistic regression a

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KAN, RAYMOND, CESARE ROBOTTI, and JAY SHANKEN. "Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology." Journal of Finance 68, no. 6 (November 12, 2013): 2617–49. http://dx.doi.org/10.1111/jofi.12035.

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Hur, Jungshik, Raman Kumar, and Vivek Singh. "Cross-sectional regression of returns on betas and portfolio grouping procedures." International Journal of Business and Systems Research 8, no. 1 (2014): 1. http://dx.doi.org/10.1504/ijbsr.2014.058005.

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10

Karafiath, Imre. "Estimating cross-sectional regressions in event studies with conditional heteroskedasticity and regression designs that have leverage." International Journal of Managerial Finance 10, no. 4 (August 26, 2014): 418–31. http://dx.doi.org/10.1108/ijmf-12-2012-0134.

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Purpose – In the finance literature, fitting a cross-sectional regression with (estimated) abnormal returns as the dependent variable and firm-specific variables (e.g. financial ratios) as independent variables has become de rigueur for a publishable event study. In the absence of skewness and/or kurtosis the explanatory variable, the regression design does not exhibit leverage – an issue that has been addressed in the econometrics literature on the finite sample properties of heteroskedastic-consistent (HC) standard errors, but not in the finance literature on event studies. The paper aims to

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Chen, Andrew Y., and Tom Zimmermann. "Open Source Cross-Sectional Asset Pricing." Finance and Economics Discussion Series 2021, no. 037 (June 23, 2021): 1–66. http://dx.doi.org/10.17016/feds.2021.037.

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We provide data and code that successfully reproduces nearly all crosssectional stock return predictors. Our 319 characteristics draw from previous meta-studies, but we differ by comparing our t-stats to the original papers' results. For the 161 characteristics that were clearly significant in the original papers, 98% of our long-short portfolios find t-stats above 1.96. For the 44 characteristics that had mixed evidence, our reproductions find t-stats of 2 on average. A regression of reproduced t-stats on original longshort t-stats finds a slope of 0.90 and an R2 of 83%. Mean returns aremonot

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12

Hoechle, Daniel. "Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence." Stata Journal: Promoting communications on statistics and Stata 7, no. 3 (September 2007): 281–312. http://dx.doi.org/10.1177/1536867x0700700301.

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I present a new Stata program, xtscc, that estimates pooled ordinary least-squares/weighted least-squares regression and fixed-effects (within) regression models with Driscoll and Kraay (Review of Economics and Statistics 80: 549–560) standard errors. By running Monte Carlo simulations, I compare the finite-sample properties of the cross-sectional dependence–consistent Driscoll–Kraay estimator with the properties of other, more commonly used covariance matrix estimators that do not account for cross-sectional dependence. The results indicate that Driscoll–Kraay standard errors are well calibra

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Gaibulloev, Khusrav, Todd Sandler, and Donggyu Sul. "Dynamic Panel Analysis under Cross-Sectional Dependence." Political Analysis 22, no. 2 (2014): 258–73. http://dx.doi.org/10.1093/pan/mpt029.

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This article investigates inconsistency and invalid statistical inference that often characterize dynamic panel analysis in international political economy. These econometric concerns are tied to Nickell bias and cross-sectional dependence. First, we discuss how to avoid Nickell bias in dynamic panels. Second, we put forward factor-augmented dynamic panel regression as a means for addressing cross-sectional dependence. As a specific application, we use our methods for an analysis of the impact of terrorism on economic growth. Different terrorism variables are shown to have no influence on econ

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Taeger, D., J. Wellmann, U. Keil, and T. Behrens. "Different Methods to Calculate Effect Estimates in Cross-sectional Studies." Methods of Information in Medicine 43, no. 05 (2004): 505–9. http://dx.doi.org/10.1055/s-0038-1633907.

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Summary Objectives: According to results from the epidemiological literature, it can be expected that the prevalence odds ratio (POR) and the prevalence ratio (PR) differ with increasing disease prevalence. We illustrate different concepts to calculate these effect measures in cross-sectional studies and discuss their advantages and weaknesses, using actual data from the ISAAC Phase III cross-sectional survey in Münster, Germany. Methods: We analyzed data on the association between self-reported traffic density and wheeze and asthma by means of the POR, obtained from a logistic regression, and

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Syed Hamid Ali Shah, Attaullah Shah, Muhammad Kamran Khan, and Hamid Ullah. "The Risk and Return Relations: New Evidence from Pakistani Stock Market." Journal of Accounting and Finance in Emerging Economies 7, no. 1 (March 31, 2021): 195–204. http://dx.doi.org/10.26710/jafee.v7i1.1592.

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In this study, we try to answer several empirical questions related to testing of asset pricing models in Pakistan. First, we test the assumptions of capital asset pricing model (CAPM) using cross-sectional regression methodology of Fama and MacBeth (FMB) (1973). Second, we test the conditional relationship between beta and expected returns using FMB cross-sectional regressions. Third, we test and compare the explanatory power of CAPM and Fama and French (1993) three factor models using time-series regressions. For all of the above empirical tests, we use sufficiently large data set of weekly

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16

Jensen, Robert K., Tina Treitz, and Han Sun. "Prediction of Infant Segment Inertias." Journal of Applied Biomechanics 13, no. 3 (August 1997): 287–99. http://dx.doi.org/10.1123/jab.13.3.287.

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The purpose of the study was to use the elliptical cylinder model adapted for infants (Sun & Jensen, 1994) with a cross-sectional sample to select appropriate multiple linear regression equations for predicting masses and nonlinear regression equations for predicting principal moments of inertia (Yeadon & Morlock, 1989). The linear and nonlinear predictions were evaluated with an independent cross-validation sample of infants and a sample where inertias ranged below and above the cross-sectional sample. The cross-validation for masses was compared to a cross-validation of four linear r

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Harrington, Scott E., and David G. Shrider. "All Events Induce Variance: Analyzing Abnormal Returns When Effects Vary across Firms." Journal of Financial and Quantitative Analysis 42, no. 1 (March 2007): 229–56. http://dx.doi.org/10.1017/s002210900000226x.

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AbstractWe demonstrate analytically that cross-sectional variation in the effects of events, i.e., in true abnormal returns, necessarily produces event-induced variance increases, biasing popular tests for mean abnormal returns in short-horizon event studies. We show that unexplained cross-sectional variation in true abnormal returns plausibly produces nonproportional heteroskedasticity in cross-sectional regressions, biasing coefficient standard errors for both ordinary and weighted least squares. Simulations highlight the resulting biases, the necessity of using tests robust to cross-section

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Bastos, Leonardo Soares, Raquel de Vasconcellos Carvalhaes de Oliveira, and Luciane de Souza Velasque. "Obtaining adjusted prevalence ratios from logistic regression models in cross-sectional studies." Cadernos de Saúde Pública 31, no. 3 (March 2015): 487–95. http://dx.doi.org/10.1590/0102-311x00175413.

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In the last decades, the use of the epidemiological prevalence ratio (PR) instead of the odds ratio has been debated as a measure of association in cross-sectional studies. This article addresses the main difficulties in the use of statistical models for the calculation of PR: convergence problems, availability of tools and inappropriate assumptions. We implement the direct approach to estimate the PR from binary regression models based on two methods proposed by Wilcosky & Chambless and compare with different methods. We used three examples and compared the crude and adjusted estimate of

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19

Jagannathan, Ravi, and Zhenyu Wang. "An Asymptotic Theory for Estimating Beta-Pricing Models Using Cross-Sectional Regression." Journal of Finance 53, no. 4 (August 1998): 1285–309. http://dx.doi.org/10.1111/0022-1082.00053.

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20

Aitken, C. K., H. Duncan, and T. A. McMahon. "A cross-sectional regression analysis of residential water demand in Melbourne, Australia." Applied Geography 11, no. 2 (April 1991): 157–65. http://dx.doi.org/10.1016/0143-6228(91)90041-7.

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21

Honoré, Bo E., and Luojia Hu. "Estimation of cross sectional and panel data censored regression models with endogeneity." Journal of Econometrics 122, no. 2 (October 2004): 293–316. http://dx.doi.org/10.1016/j.jeconom.2003.06.001.

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22

Watson, H. L., D. A. Poole, and M. A. Sackner. "Accuracy of respiratory inductive plethysmographic cross-sectional areas." Journal of Applied Physiology 65, no. 1 (July 1, 1988): 306–8. http://dx.doi.org/10.1152/jappl.1988.65.1.306.

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The present study was undertaken to evaluate whether the respiratory inductive plethysmograph (RIP) 1) reflects changes of cross-sectional area enclosed by its transducer band in the presence of deformations of shape or whether it 2) has a stable base line. Testing of RIP was carried out with a device incorporating a thermally compensated oscillator and digital demodulatory circuitry. This system, introduced to commerce in 1983, superceded the nonthermal compensated oscillatory and analog demodulator circuitry first used in 1977. Testing the effects of changing cross-sectional area was accompl

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23

Hausman, Catherine, and David S. Rapson. "Regression Discontinuity in Time: Considerations for Empirical Applications." Annual Review of Resource Economics 10, no. 1 (October 5, 2018): 533–52. http://dx.doi.org/10.1146/annurev-resource-121517-033306.

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Recent empirical work in several economic fields, particularly environmental and energy economics, has adapted the regression discontinuity (RD) framework to applications where time is the running variable and treatment begins at a particular threshold in time. In this guide for practitioners, we discuss several features of this regression discontinuity in time framework that differ from the more standard cross-sectional RD framework. First, many applications (particularly in environmental economics) lack cross-sectional variation and are estimated using observations far from the temporal thre

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Musharbash, Ruba. "Prevalence of Food Addiction during Covid-19 Pandemic in Amman, Jordan: A Cross Sectional Study." Nutrition and Food Processing 4, no. 4 (June 25, 2021): 01–07. http://dx.doi.org/10.31579/2637-8914/050.

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Aim: Emerging evidence highlights the impact of stressful conditions on eating behaviours, particularly the consumption of foods high in salt, sugar and fat. The impact of the Coronavirus disease-19 (COVID-19) pandemic on food addiction is still un-estimated. This study aimed to examine the prevalence of food addiction among the Jordanian population during the quarantine. Materials and methods: A Cross-sectional study has been conducted between the 27th of April and the 4th of June of 2020. An online survey of Yale food addiction scale v.2.0 (YFAS 2.0) was distributed. A convenience sample was

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Kasikhina, Elena I., Larisa S. Kruglova, Mariya O. Vashchenko, and Roman Y. Mayorov. "Analysis of Risk Factors Affecting Skin Mastocytosis in Children: Cross-Sectional Study." Current Pediatrics 19, no. 6 (December 27, 2020): 526–30. http://dx.doi.org/10.15690/vsp.v19i6.2154.

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Background. Skin mastocytosis is rare disease that is diagnosed in most children under the age of 2 years. The date on rash regression dynamics and disease symptoms is not fully presented in the literature.Objective. The aim of the study was to analyze risk factors associated with clinical manifestations and regression time of skin mastocytosis in children.Methods. The study includes data on 28 children aged from 3 months to 12 years who has undergone outpatient care and observation in Moscow Scientific and Research Center of Dermatovenerology and Cosmetology of Moscow City Health Department i

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Wu, Lingtao, Dominique Lord, and Yajie Zou. "Validation of Crash Modification Factors Derived from Cross-Sectional Studies with Regression Models." Transportation Research Record: Journal of the Transportation Research Board 2514, no. 1 (January 2015): 88–96. http://dx.doi.org/10.3141/2514-10.

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Van Keilegom, Ingrid, and Lan Wang. "Semiparametric modeling and estimation of heteroscedasticity in regression analysis of cross-sectional data." Electronic Journal of Statistics 4 (2010): 133–60. http://dx.doi.org/10.1214/09-ejs547.

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Gonçalves, Sílvia. "THE MOVING BLOCKS BOOTSTRAP FOR PANEL LINEAR REGRESSION MODELS WITH INDIVIDUAL FIXED EFFECTS." Econometric Theory 27, no. 5 (March 25, 2011): 1048–82. http://dx.doi.org/10.1017/s0266466610000630.

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In this paper we propose a bootstrap method for panel data linear regression models with individual fixed effects. The method consists of applying the standard moving blocks bootstrap of Künsch (1989, Annals of Statistics 17, 1217–1241) and Liu and Singh (1992, in R. LePage & L. Billiard (eds.), Exploring the Limits of the Bootstrap) to the vector containing all the individual observations at each point in time. We show that this bootstrap is robust to serial and cross-sectional dependence of unknown form under the assumption that n (the cross-sectional dimension) is an arbitrary nondecrea

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Çeliker, Meral, Mustafa Yavuz Selçuk, and Serdar Olt. "Sarcopenia in diabetic nephropathy: a cross-sectional study." Romanian Journal of Internal Medicine 56, no. 2 (June 1, 2018): 102–8. http://dx.doi.org/10.2478/rjim-2018-0003.

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Abstract Objective. To investigate the relationship between sarcopenia and diabetic nephropathy. Methods. 56 diabetic patients without complications, 50 diabetic patients with nephropathy, 53 healthy controls included in this present study. Demographic characteristics such as sex, age, anthropometric measurements such as weight, body mass index [BMI], hip circumference, waist circumference and upper arm circumference were measured. Sarcopenia diagnosis was based on European Working Group on Sarcopenia in Older People [EWGSOP] criteria which consist of hand grip strength, 6-meter walking test a

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Sorens, Jason. "The Cross-Sectional Determinants of Secessionism in Advanced Democracies." Comparative Political Studies 38, no. 3 (April 2005): 304–26. http://dx.doi.org/10.1177/0010414004272538.

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This article analyzes the “risk factors” of secessionism at the substate, regional level. It seeks to answer the question, What regions are more likely to support more successful secessionist parties? Using new data in cross-sectional regression analysis, the author finds that secessionism involves unique factors not common to other kinds of ethnic conflict. Specifically, in addition to “identity” variables such as regional language and history of independence, the following variables explain secessionist strength: lack of irredentist potential, relative affluence, geographical noncontiguity,

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Liu, S. Q. "Regression of hypoxic hypertension-induced changes in the elastic laminae of rat pulmonary arteries." Journal of Applied Physiology 82, no. 5 (May 1, 1997): 1677–84. http://dx.doi.org/10.1152/jappl.1997.82.5.1677.

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Liu, S. Q. Regression of hypoxic hypertension-induced changes in the elastic laminae of rat pulmonary arteries. J. Appl. Physiol. 82(5): 1677–1684, 1997.—The elastic laminae of the pulmonary arteries (PAs) undergo a progressive structural change in hypoxic hypertension. This study focused on the reversibility of altered PA elastic laminae of the rat due to hypoxic hypertension. The structure and cross-sectional area of the PA medial elastic laminae were examined by using electron-microscopic and image-analytic approaches during recovery from 12 h and 10 days of hypoxic hypertension. At 12 h of

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Chen, Songnian. "DISTRIBUTION-FREE ESTIMATION OF THE BOX–COX REGRESSION MODEL WITH CENSORING." Econometric Theory 28, no. 3 (November 25, 2011): 680–95. http://dx.doi.org/10.1017/s0266466611000703.

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The Box–Cox regression model has been widely used in applied economics. However, there has been very limited discussion when data are censored. The focus has been on parametric estimation in the cross-sectional case, and there has been no discussion at all for the panel data model with fixed effects. This paper fills these important gaps by proposing distribution-free estimators for the Box–Cox model with censoring in both the cross-sectional and panel data settings. The proposed methods are easy to implement by combining a convex minimization problem with a one-dimensional search. The procedu

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Hippisley-Cox, J. "The electronic patient record in primary care--regression or progression? A cross sectional study." BMJ 326, no. 7404 (June 26, 2003): 1439–43. http://dx.doi.org/10.1136/bmj.326.7404.1439.

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BARTH, MARY E., and SANJAY KALLAPUR. "The Effects of Cross-Sectional Scale Differences on Regression Results in Empirical Accounting Research." Contemporary Accounting Research 13, no. 2 (September 1996): 527–67. http://dx.doi.org/10.1111/j.1911-3846.1996.tb00514.x.

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35

Cai, Kaida, Wenqing He, and Grace Y. Yi. "COVID-19 Fatality: A Cross-Sectional Study using Adaptive Lasso Penalized Sliced Inverse Regression." Journal of Data Science 18, no. 3 (January 17, 2021): 483–95. http://dx.doi.org/10.6339/jds.202007_18(3).0015.

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Rashid, Mamunur, Jorma Heikkonen, and Tero Kivelä. "Tumor Regression After Brachytherapy for Choroidal Melanoma: Reduction of Thickness and Cross-Sectional Area by Shape and Regression Pattern." Investigative Opthalmology & Visual Science 56, no. 4 (April 29, 2015): 2612. http://dx.doi.org/10.1167/iovs.14-16322.

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37

Picco, Louisa, Sherilyn Chang, Edimansyah Abdin, Boon Yiang Chua, Qi Yuan, Janhavi Ajit Vaingankar, Samantha Ong, et al. "Associative stigma among mental health professionals in Singapore: a cross-sectional study." BMJ Open 9, no. 7 (July 2019): e028179. http://dx.doi.org/10.1136/bmjopen-2018-028179.

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Objectives(1) Investigate and explore whether different classes of associative stigma (the process by which a person experiences stigmatisation as a result of an association with another stigmatised person) could be identified using latent class analysis; (2) determine the sociodemographic and employment-related correlates of associative stigma and (3) examine the relationship between associative stigma and job satisfaction, among mental health professionals.DesignCross-sectional online survey.ParticipantsDoctors, nurses and allied health staff, working in Singapore.MethodsStaff (n=462) comple

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Morgan, John F., Gabriella Zolese, Jane McNulty, and Sharon Gebhardt. "Domestic violence among female psychiatric patients: cross-sectional survey." Psychiatrist 34, no. 11 (November 2010): 461–64. http://dx.doi.org/10.1192/pb.bp.108.023986.

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Aims and methodTo establish prevalence of domestic violence among female psychiatric patients, including risk factors, health professional attention and acceptability of routine enquiry. Participants were 70 adult women in an inner-city community mental health team who received questionnaire and case-note review. Main outcome measures were: lifetime/point prevalence of domestic violence; attitudes to routine enquiry; past disclosure and recording in psychiatric records; clinical and demographic risk factors.ResultsLifetime prevalence was 60% for physical violence from partners, 27% during preg

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Byun, Soo Hwan, Dae Myoung Yoo, Minwook Chang, Hyo Geun Choi, and Seok Jin Hong. "Relationship between Periodontitis and Glaucoma: A Cross-Sectional Study." Journal of Ophthalmology 2020 (December 2, 2020): 1–7. http://dx.doi.org/10.1155/2020/5384602.

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The objective of this cross-sectional study was to evaluate the association between periodontitis and glaucoma. This prospective cohort study used epidemiological data from the Korean Genome and Epidemiology Study performed between 2004 and 2016. Among 173,209 participants, 9572 patients with periodontitis and 115,332 controls (nonperiodontitis) were selected. We analysed the history of glaucoma in periodontitis and control participants. The participants were interviewed regarding their history of hypertension, diabetes mellitus, hyperlipidaemia, periodontitis, glaucoma, smoking, and alcohol c

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Li, Mo, Rena Li, Ji-hui Lyu, Jian-hua Chen, Wei Wang, Mao-long Gao, Wen-jie Li, et al. "Relationship Between Alzheimer’s Disease and Retinal Choroidal Thickness: A Cross-Sectional Study." Journal of Alzheimer's Disease 80, no. 1 (March 9, 2021): 407–19. http://dx.doi.org/10.3233/jad-201142.

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Background: The choroid is involved directly or indirectly in many pathological conditions such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and multiple sclerosis (MS). Objective: The objective of this study was to investigate the association between retinal choroidal properties and the pathology of AD by determining choroidal thickness, hippocampus volume, cognitive functions, and plasma BACE1 activity. Methods: In this cross-sectional study, 37 patients with AD and 34 age-matched controls were included. Retinal choroidal thickness was measured via enhanced depth imaging optical co

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Reece, AS, A. Norman, and GK Hulse. "Serum ionic dysequilibria in clinical opioid dependence: Cross-sectional and longitudinal studies." Human & Experimental Toxicology 36, no. 8 (February 22, 2017): 776–84. http://dx.doi.org/10.1177/0960327116666649.

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Introduction: Despite an increasing awareness that the activity of excitable membranes is determined by the underlying ionic gradients across them, and their importance in drug dependency, we were not able to identify any reports of comparing the electrolyte composition of opioid-dependent and non-addicted controls. Methods: Linear regression was used to compare clinical pathology blood results taken from 2699 opioid-dependent patients (ODP) and 5307 medical control (MC) patients on a total of 21,734 occasions for the period 1995–2015. The presence of a hepatitis C antibody test was used to se

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Yoon, Young Suk, Boyoung Jung, Dongsu Kim, and In-Hyuk Ha. "Factors Underlying Unmet Medical Needs: A Cross-Sectional Study." International Journal of Environmental Research and Public Health 16, no. 13 (July 5, 2019): 2391. http://dx.doi.org/10.3390/ijerph16132391.

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Unmet medical needs refer to the state where a patient’s medical care or service is insufficient, inadequate, or lacking. Numerous factors influence unmet medical needs. We used a multi-pronged approach to explore the factors influencing unmet medical needs in the Korean health care system according to Anderson’s Behavioral Model of Health Services Use. To this end, we used data from 11,378 adults over 19 years old in the 2016 Korea Health Panel Survey and performed multiple logistic regression analyses. The odds of experiencing unmet medical needs were significantly greater among older partic

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Terunuma, Niina, Shizuka Kurosaki, Hiroko Kitamura, Koichi Hata, Reiko Ide, Hiroaki Kuga, Noriaki Kakiuchi, et al. "Cross-sectional study on respiratory effect of toner exposure." Human & Experimental Toxicology 28, no. 6-7 (June 2009): 325–30. http://dx.doi.org/10.1177/0960327109105160.

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In this baseline study, part of a cohort study to clarify the effect of toner exposure on the respiratory system, we surveyed 803 male toner workers and 802 referents with regard to their subjective respiratory symptoms and chest X-ray results. We also examined individual exposure history, current working conditions, and personal exposure levels to toner. There was a significantly higher prevalence of “coughing and sputum” related complaints among toner-exposed workers in the 30 and 40-year age groups. The group with toner-exposure history showed a higher odds ratio, by logistic regression, in

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De Miranda, Ronaldo Leão, Luís Fernando Irgang dos Santos, Giancarlo Gomes, and Iara Regina Dos Santos Parisotto. "Competitiveness influence on global innovation of nations: a cross-sectional analysis." Independent Journal of Management & Production 12, no. 4 (June 1, 2021): 964–78. http://dx.doi.org/10.14807/ijmp.v12i4.1338.

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Innovation has been recognized as one of the main determinants of nation’s economic development and has been adopted as a main tool for adding value and achieving sustainable competitive advantage. In order to understand the influence of global competitiveness on global innovation of nations, this study analyzed some indexes of 133 countries using a multiple linear regression analysis. The results suggested that global competitiveness influences the innovativeness of nations significantly and positively. Higher education and training was the competitiveness indicators that most influenced in i

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Russo, Marco, Veronica Villani, Arens Taga, Antonio Genovese, Irene Terrenato, Gian Camillo Manzoni, Franco Servadei, Paola Torelli, and Andrea Pace. "Headache as a presenting symptom of glioma: A cross-sectional study." Cephalalgia 38, no. 4 (May 11, 2017): 730–35. http://dx.doi.org/10.1177/0333102417710020.

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Objective The objective of this study was to analyse the prevalence and the clinical features of headache as a presenting symptom of glioma. Methods We interviewed 527 consecutive adult patients with histologically confirmed glioma, admitted to the Regina Elena National Cancer Institute between 2010 and 2015. We defined four headache phenotypes: Tension-type-like headache (TTH), migraine-like headache, worsening of a pre-existing headache (WPH) and classic brain tumour headache (BTH). Logistic regression analysis was carried out to investigate potential risk factors for headache at presentatio

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Lieng, Marit, Olav Istre, Leiv Sandvik, and Erik Qvigstad. "Prevalence, 1-Year Regression Rate, and Clinical Significance of Asymptomatic Endometrial Polyps: Cross-sectional Study." Journal of Minimally Invasive Gynecology 16, no. 4 (July 2009): 465–71. http://dx.doi.org/10.1016/j.jmig.2009.04.005.

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Pillai, Vijayan K. "Air pollution in developing and developed nations: A pooled cross‐sectional time series regression analysis." International Planning Studies 1, no. 1 (February 1996): 35–47. http://dx.doi.org/10.1080/13563479608721642.

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Volpe, N., G. Rizzo, L. Cariello, R. Ludovica, A. Dall'Asta A, G. Pedrazzi, E. Ferrazzi, et al. "P08.03: Customised fetal growth charts by quantile regression analysis: a cross-sectional multicentric Italian study." Ultrasound in Obstetrics & Gynecology 46 (September 2015): 147. http://dx.doi.org/10.1002/uog.15389.

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Murtazashvili, Irina, and Nadia Vozlyublennaia. "The performance of cross-sectional regression tests of the CAPM with non-zero pricing errors." Journal of Banking & Finance 36, no. 4 (April 2012): 1057–66. http://dx.doi.org/10.1016/j.jbankfin.2011.10.018.

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Tayfur, Gokmen, and Vijay P. Singh. "Predicting Mean and Bankfull Discharge from Channel Cross-Sectional Area by Expert and Regression Methods." Water Resources Management 25, no. 5 (December 3, 2010): 1253–67. http://dx.doi.org/10.1007/s11269-010-9741-6.

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