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Sander Greenland

Affiliations: 
University of California, Los Angeles, Los Angeles, CA 
Area:
Epidemiology, Biostatistics Biology, Medical Ethics
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"Sander Greenland"
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George Maldonado grad student 1990 UCLA (ID Tree)
Marshall Joffe grad student 1994 UCLA (MathTree)
Anne L. Coleman grad student 1997 UCLA
Nina T. Harawa grad student 2001 UCLA
Ellen M. Thometz grad student 2001 UCLA
Jaana M. Leppala grad student 2002 UCLA
Katherine J. Hoggatt grad student 2005 UCLA
Ari M. Lipsky grad student 2009 UCLA

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Publications

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Lipsky AM, Greenland S. (2022) Causal Directed Acyclic Graphs. Jama. 327: 1083-1084
Amrhein V, Greenland S, McShane BB. (2019) Statistical significance gives bias a free pass. European Journal of Clinical Investigation. e13176
Greenland S. (2019) Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators. Biostatistics (Oxford, England). 1: 113-22
Mansournia MA, I Naimi A, Greenland S. (2018) The implications of using lagged and baseline exposure terms in the longitudinal-causal and regression models. American Journal of Epidemiology
Greenland S. (2017) An introduction to instrumental variables for epidemiologists. International Journal of Epidemiology
Ojha RP, MacDonald BR, Chu TC, et al. (2017) Different Cutpoints for Transient Elastography Lead To Different Associations with Cirrhosis. Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association
Mansournia MA, Jewell NP, Greenland S. (2017) Case-control matching: effects, misconceptions, and recommendations. European Journal of Epidemiology
Cole SR, Edwards JK, Westreich D, et al. (2017) Estimating multiple time-fixed treatment effects using a semi-Bayes semiparametric marginal structural Cox proportional hazards regression model. Biometrical Journal. Biometrische Zeitschrift
Mansournia MA, Geroldinger A, Greenland S, et al. (2017) Separation in Logistic Regression - Causes, Consequences, and Control. American Journal of Epidemiology
Greenland S. (2017) Invited Commentary: The Need for Cognitive Science in Methodology. American Journal of Epidemiology. 186: 639-645
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