Statistical Models in Epidemiology, the Environment, and Clinical Trials

✍ Scribed by James M. Robins, Andrea Rotnitzky (auth.), M. Elizabeth Halloran, Donald Berry (eds.)

• Publisher: Springer-Verlag New York
• Year: 2000
• Tongue: English
• Leaves: 286
• Series: The IMA Volumes in Mathematics and its Applications 116
• Edition: 1
• Category: Library

✦ Synopsis

This IMA Volume in Mathematics and its Applications STATISTICAL MODELS IN EPIDEMIOLOGY, THE ENVIRONMENT,AND CLINICAL TRIALS is a combined proceedings on "Design and Analysis of Clinical Trials" and "Statistics and Epidemiology: Environment and Health. " This volume is the third series based on the proceedings of a very successful 1997 IMA Summer Program on "Statistics in the Health Sciences. " I would like to thank the organizers: M. Elizabeth Halloran of Emory University (Biostatistics) and Donald A. Berry of Duke University (Insti­ tute of Statistics and Decision Sciences and Cancer Center Biostatistics) for their excellent work as organizers of the meeting and for editing the proceedings. I am grateful to Seymour Geisser of University of Minnesota (Statistics), Patricia Grambsch, University of Minnesota (Biostatistics); Joel Greenhouse, Carnegie Mellon University (Statistics); Nicholas Lange, Harvard Medical School (Brain Imaging Center, McLean Hospital); Barry Margolin, University of North Carolina-Chapel Hill (Biostatistics); Sandy Weisberg, University of Minnesota (Statistics); Scott Zeger, Johns Hop­ kins University (Biostatistics); and Marvin Zelen, Harvard School of Public Health (Biostatistics) for organizing the six weeks summer program. I also take this opportunity to thank the National Science Foundation (NSF) and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr.

✦ Table of Contents

Front Matter....Pages i-ix
Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models....Pages 1-94
Marginal Structural Models versus Structural nested Models as Tools for Causal inference....Pages 95-133
Nonparametric locally efficient estimation of the Treatment Specific Survival distribution with right Censored Data and Covariates in Observational Studies....Pages 135-177
Estimation of Disease Rates in Small Areas: A new Mixed Model for Spatial Dependence....Pages 179-191
Markov Chain Monte Carlo Methods for Clustering in Case Event and Count Data in Spatial Epidemiology....Pages 193-218
A Simulation Study of the Epidemiological Impact of Air Pollution: Diagnostics of the Confounding Effects for Generalized Linear Models....Pages 219-236
The Use of Reference Priors and Bayes Factors in the Analysis of Clinical Trials....Pages 237-249
Surrogate Endpoints in Cancer Clinical Trials....Pages 251-272
Back Matter....Pages 273-283

✦ Subjects

Statistics for Life Sciences, Medicine, Health Sciences; Analysis; Physiological, Cellular and Medical Topics