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Journal of Clinical Epidemiology|June 13, 2021
Noncollapsibility, confounding, and sparse-data bias. Part 2: What should researchers make of persistent controversies about the odds ratio?Sander GreenlandBiometrics|May 24, 2003
Generalized conjugate priors for Bayesian analysis of risk and survival regressionsSander GreenlandAmerican Journal of Epidemiology|March 29, 2021
Invited Commentary: Dealing With the Inevitable Deficiencies of Bias Analysis-and All AnalysesSander GreenlandEmerging Themes in Epidemiology|June 1, 2005
Epidemiologic measures and policy formulation: lessons from potential outcomesSander GreenlandJournal of Epidemiology and Community Health|January 24, 2012
Transparency and disclosure, neutrality and balance: shared values or just shared words?Sander GreenlandAnnals of Epidemiology|March 7, 2012
Nonsignificance plus high power does not imply support for the null over the alternativeSander GreenlandAmerican Journal of Epidemiology|January 30, 2008
Invited commentary: variable selection versus shrinkage in the control of multiple confoundersSander GreenlandInternational Journal of Epidemiology|September 12, 2009
Bayesian perspectives for epidemiologic research: III. Bias analysis via missing-data methodsSander GreenlandEuropean Journal of Epidemiology|February 22, 2017
For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference DebatesSander GreenlandJournal of Clinical Epidemiology|June 13, 2021
Noncollapsibility, confounding, and sparse-data bias. Part 1: The oddities of oddsSander GreenlandPageof 33