Statistical models in epidemiology, the environment, and clinical trials. IMA summer program on Statistics in the health sciences, Univ. of Minnesota, Minneapolis, MN, USA, 1997 (Q1962875)

The articles of this volume will be reviewed individually. Indexed articles: \textit{Robins, James M.; Rotnitzky, Andrea; Scharfstein, Daniel O.}, Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models, 1-94 [Zbl 0998.62091] \textit{Robins, James M.}, Marginal structural models versus structural nested models as tools for causal inference, 95-133 [Zbl 0986.62094] \textit{Hubbard, Alan E.; Van der Laan, Mark J.; Robins, James M.}, Nonparametric locally efficient estimation of the treatment specific survival distribution with right censored data and covariates in observational studies, 135-177 [Zbl 0983.62077] \textit{Leroux, Brian G.; Lei, Xingye; Breslow, Norman}, Estimation of disease rates in small areas: A new mixed model for spatial dependence, 179-191 [Zbl 0957.62095] \textit{Lawson, Andrew B.; Clark, Allan B.}, Markov chain Monte Carlo methods for clustering in case event and count data in spatial epidemology, 193-218 [Zbl 0957.62094] \textit{Chen, Colin; Chock, David P.; Winkler, Sandra L.}, A simulation study of the epidemological impact of air pollution: Diagnostics of the confounding effects for generalized linear models, 219-236 [Zbl 0957.62093] \textit{Stangl, Dalene}, The use of reference priors and Bayes factors in the analysis of clinical trials, 237-249 [Zbl 0970.62078] \textit{George, Stephen L.}, Surrogate endpoints in cancer clinical trials, 251-272 [Zbl 0970.62075]