Revealing Facts and Avoiding Biases: A Review of Several Common Problems in Statistical Analyses of Epidemiological Data

This paper reviews common challenges encountered in statistical analyses of epidemiological data for epidemiologists. We focus on the application of linear regression, multivariate logistic regression, and log-linear modeling to epidemiological data. Specific topics include: a) deletion of outliers,...

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Main Authors: Lihan Yan (Author), Youming Sun (Author), Michael R Boivin (Author), Paul O Kwon (Author), Yuanzhang Li (Author)
Format: Book
Published: Frontiers Media S.A., 2016-10-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Lihan Yan  |e author 
700 1 0 |a Youming Sun  |e author 
700 1 0 |a Michael R Boivin  |e author 
700 1 0 |a Paul O Kwon  |e author 
700 1 0 |a Yuanzhang Li  |e author 
245 0 0 |a Revealing Facts and Avoiding Biases: A Review of Several Common Problems in Statistical Analyses of Epidemiological Data 
260 |b Frontiers Media S.A.,   |c 2016-10-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2016.00207 
520 |a This paper reviews common challenges encountered in statistical analyses of epidemiological data for epidemiologists. We focus on the application of linear regression, multivariate logistic regression, and log-linear modeling to epidemiological data. Specific topics include: a) deletion of outliers, b) heteroscedasticity in linear regression, c) limitations of principal component analysis in dimension reduction, d) hazard ratio vs. odds ratio in a rate comparison analysis, e) log-linear models with multiple response data, and f) ordinal logistic vs. multinomial logistic models. As a general rule, a thorough examination of a model's assumptions against both current data and prior research should precede its use in estimating effects. 
546 |a EN 
690 |a Epidemiology 
690 |a Principal Component Analysis 
690 |a regression 
690 |a review 
690 |a heteroscedasticity 
690 |a Odds Ratio 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 4 (2016) 
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856 4 1 |u https://doaj.org/article/762e8c96ef0949b3b71d45aa94712d68  |z Connect to this object online.