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Missing-Data Methods for Generalized Linear Models: A Comparative Review

Ibrahim, Joseph G.; Chen, Ming-Hui; Lipsitz, Stuart R.; … - In: Journal of the American Statistical Association 100 (2005) March, pp. 332-346

Persistent link: https://www.econbiz.de/10005734159

Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial

Herring, Amy H.; Ibrahim, Joseph G.; Lipsitz, Stuart R. - In: Journal of the Royal Statistical Society Series C 53 (2004) 2, pp. 293-310

Non-ignorable missing data, a serious problem in both clinical trials and observational studies, can lead to biased inferences. Quality-of-life measures have become increasingly popular in clinical trials. However, these measures are often incompletely observed, and investigators may suspect...

Persistent link: https://www.econbiz.de/10005692015

Review Articles - Missing-Data Methods for Generalized Linear Models: A Comparative Review

Ibrahim, Joseph G.; Chen, Ming-Hui; Lipsitz, Stuart R.; … - In: Journal of the American Statistical Association : JASA 100 (2005) 469, pp. 332-346

Persistent link: https://www.econbiz.de/10006607848

Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial

Herring, Amy H.; Ibrahim, Joseph G.; Lipsitz, Stuart R. - In: Journal of the Royal Statistical Society / C 53 (2004) 2, pp. 293-310

Persistent link: https://www.econbiz.de/10008214829

Missing-data methods for generalized linear models : a comparative review

Ibrahim, Joseph George; Chen, Ming-Hui; Lipsitz, Stuart R. - In: Journal of the American Statistical Association : JASA 100 (2005) 469, pp. 332-346

Persistent link: https://www.econbiz.de/10002706108

Structured Measurement Error in Nutritional Epidemiology: Applications in the Pregnancy, Infection, and Nutrition (PIN) Study

Johnson, Brent A.; Herring, Amy H.; Ibrahim, Joseph G.; … - In: Journal of the American Statistical Association 102 (2007) September, pp. 856-866

Persistent link: https://www.econbiz.de/10005238862

Theory and Methods - Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model

Herring, Amy H.; Ibrahim, Joseph G. - In: Journal of the American Statistical Association : JASA 96 (2001) 453, pp. 292-302

Persistent link: https://www.econbiz.de/10006621304

Applications and Case Studies - Structured Measurement Error in Nutritional Epidemiology: Applications in the Pregnancy, Infection, and Nutrition (PIN) Study

Johnson, Brent A.; Herring, Amy H.; Ibrahim, Joseph G.; … - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 856-866

Persistent link: https://www.econbiz.de/10007861946

Using auxiliary data for parameter estimation with non-ignorably missing outcomes

Ibrahim, Joseph G.; Lipsitz, Stuart R.; Horton, Nick - In: Journal of the Royal Statistical Society Series C 50 (2001) 3, pp. 361-373

Persistent link: https://www.econbiz.de/10005692050

An extension of the Wilcoxon rank sum test for complex sample survey data

Natarajan, Sundar; Lipsitz, Stuart R.; Fitzmaurice, … - In: Journal of the Royal Statistical Society Series C 61 (2012) 4, pp. 653-664

Persistent link: https://www.econbiz.de/10010578538