Selection bias in epidemiologic studies

Bias is inherent in epidemiology, and researchers go to great lengths to avoid introducing bias into their studies. However, some bias is inevitable, and bias due to selection is particularly common. We discuss ways to identify bias and how authors have approached removing or adjusting for bias using statistical methods.

[1]  Yu-Kang Tu,et al.  Why evidence for the fetal origins of adult disease might be a statistical artifact: the "reversal paradox" for the relation between birth weight and blood pressure in later life. , 2005, American journal of epidemiology.

[2]  D. R. Cox,et al.  Factors affecting indoor radon concentrations in the United Kingdom. , 1993, Health physics.

[3]  G. Law,et al.  Childhood cancer and population mixing. , 2003, American journal of epidemiology.

[4]  Uk Childhood Cancer Study Investigators,et al.  The United Kingdom Childhood Cancer Study of exposure to domestic sources of ionising radiation: 1: radon gas , 2002, British Journal of Cancer.

[5]  J. Pearl Causality: Models, Reasoning and Inference , 2000 .

[6]  W. Cleveland,et al.  Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting , 1988 .

[7]  M. Henderson,et al.  Appraising the evidence: what is selection bias? , 2007, Evidence-based mental health.

[8]  Anders Skrondal,et al.  Stratified Case‐Cohort Analysis of General Cohort Sampling Designs , 2007 .

[9]  G. Shaw,et al.  Maternal pesticide exposure from multiple sources and selected congenital anomalies. , 1999 .

[10]  G. Law,et al.  The importance of full participation: lessons from a national case–control study , 2002, British Journal of Cancer.

[11]  N. Breslow,et al.  Statistical methods in cancer research. Vol. 1. The analysis of case-control studies. , 1981 .

[12]  Sander Greenland,et al.  An overview of relations among causal modelling methods. , 2002, International journal of epidemiology.

[13]  James M. Robins,et al.  Causal diagrams for epidemiologic research. , 1999 .

[14]  R. McNamee,et al.  Confounding and confounders , 2003, Occupational and environmental medicine.

[15]  D. Pfeffermann,et al.  The use of sampling weights for survey data analysis , 1996, Statistical methods in medical research.

[16]  Mel Greaves,et al.  The United Kingdom Childhood Cancer Study: objectives, materials and methods , 2000 .

[17]  S. Galea,et al.  Participation rates in epidemiologic studies. , 2007, Annals of epidemiology.

[18]  Danny Pfeffermann,et al.  Fitting Generalized Linear Models under Informative Sampling , 2003 .

[19]  S. Richardson,et al.  Adjusting for selection bias in retrospective, case-control studies. , 2008, Biostatistics.

[20]  J. Robins,et al.  A Structural Approach to Selection Bias , 2004, Epidemiology.

[21]  D. Rubin INFERENCE AND MISSING DATA , 1975 .

[22]  James J Schlesselman Case-Control Studies: Design, Conduct, Analysis , 1982 .