Statistical Models in Epidemiology, the Environment, and Clinical Trials

Name: Statistical Models in Epidemiology, the Environment, and Clinical Trials
Brand: Springer, Berlin
SKU: 9780387989242
Price: 86771 HUF
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Szerző: M. E. Halloran, Donald Berry

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

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This volume contains refereed papers by participants in the two weeks on Clinical Trials and one wee...

Információk a könyvről

Szerző

M. E. Halloran, Donald Berry

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2000

oldal

283

EAN

9780387989242

ISBN

0387989242

Enbook ID

01385692

Kiadó

Springer, Berlin

Súly

602

Méretek

155 x 235 x 17

Teljes leírás

This volume contains refereed papers by participants in the two weeks on Clinical Trials and one week on Epidemiology and the Environment held as part of the six weeks workshop on Statistics in the Health Sciences Applications at the Institute for Mathematics and its Applications (IMA) in the summer of 1997. Donald Berry was in charge of the weeks on clinical trials, and Elizabeth Halloran organized the week on epidemiology and the environment. The collection includes a major contribution from Jamie Robins, Andrea Rotnitzky, and Daniel Scharfstein on sensitivity analysis for selection bias and unmeasured confounding in missing data and causal and inference models. In another paper, Jamie Robins presents a new class of causal models called marginal structural models. Alan Hubbard, Mark van der Laan, and Jamie Robins present a methodology for consistent and efficient estimation of treatment-specific survival functions in observational settings. Brian Leroux, Xingye Lei, and Norman Breslow present a new mixed model for spatial dependence for estimating disease rates in small areas. Andrew Lawson and Allan Clark demonstrate Markov Chain Monte Carlo methods for clustering in spatial epidemiology. Colin Chen, David Chock, and Sandra Winkler present a simulation study examining confounding in estimation of the epidemiologic effect of air pollution. Dalene Stangl discusses issues in the use of reference priors and Bayes factors in analyzing clinical trials. Stephen George reviews the role of surrogate endpoints in cancer clinical trials.

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Statistical Models in Epidemiology, the Environment, and Clinical Trials

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