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Epidemiology (Cambridge, Mass.)|December 13, 2012
Living with p values: resurrecting a Bayesian perspective on frequentist statisticsSander Greenland, Charles PooleInternational Journal of Epidemiology|November 26, 2005
Socioeconomic status and childhood leukaemia: a reviewCharles Poole, Sander Greenland, Crystal Luetters, et al.Statistics in Medicine|March 3, 2005
Improved estimation of controlled direct effects in the presence of unmeasured confounding of intermediate variablesSol Kaufman, Jay S Kaufman, Richard F MacLehose, et al.Epidemiology (Cambridge, Mass.)|July 5, 2021
The Importance of Making Assumptions in Bias AnalysisRichard F MacLehose, Thomas P Ahern, Timothy L Lash, et al.Epidemiology (Cambridge, Mass.)|July 16, 2003
Quantifying biases in causal models: classical confounding vs collider-stratification biasSander GreenlandAnnals of Epidemiology|December 16, 2014
Concepts and pitfalls in measuring and interpreting attributable fractions, prevented fractions, and causation probabilitiesSander GreenlandSeminars in Hematology|June 28, 2008
Bayesian interpretation and analysis of research resultsSander GreenlandPreventive Medicine|August 30, 2011
Null misinterpretation in statistical testing and its impact on health risk assessmentSander GreenlandRisk Analysis : an Official Publication of the Society for Risk Analysis|November 26, 2004
Bounding analysis as an inadequately specified methodologySander GreenlandAmerican Journal of Epidemiology|September 24, 2017
Invited Commentary: The Need for Cognitive Science in MethodologySander GreenlandPageof 33