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Statistical models in epidemiology, the environment and clinical trials / M. Elizabeth Halloran, Donald Berry, editors.

Contributor(s): Material type: TextTextSeries: IMA volumes in mathematics and its applications ; v.116.Publication details: New York ; London : Springer, c2000.Description: ix, 274 p. : ill. ; 24 cmISBN:
  • 9780387989242 :
  • 0387989242 (hc. : alk. paper)
Subject(s): DDC classification:
  • 614.4072
This volume contains refereed papers by participants in the two-week workshop on 'Clinical Trials' and the one-week workshop on 'Epidemiology and the Environment' held as part of the six-week symposium on 'Statistics in the Health Sciences' at the Institute for Mathematics and its Applications (IMA) in the summer of 1997.
Contents:
Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models -- Marginal structural models versus structural nested models as tools for causal inference -- Nonparametric locally efficient estimation of the treatment specific survival distribution with right censored data and covariates in observational studies -- Estimation of disease rates in small areas: a new mixed model for spatial dependence -- Markov chain Monte Carlo methods for clustering in case event and count data in spatial epidemiology -- A simulation study of the epidemiological impact of air pollution: diagnostics of the confounding effects for generalized linear models -- The use of reference priors and Bayes factors in the analysis of clinical trials -- Surrogate endpoints in cancer clinical trials.

Includes bibliographical references and index.

Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models -- Marginal structural models versus structural nested models as tools for causal inference -- Nonparametric locally efficient estimation of the treatment specific survival distribution with right censored data and covariates in observational studies -- Estimation of disease rates in small areas: a new mixed model for spatial dependence -- Markov chain Monte Carlo methods for clustering in case event and count data in spatial epidemiology -- A simulation study of the epidemiological impact of air pollution: diagnostics of the confounding effects for generalized linear models -- The use of reference priors and Bayes factors in the analysis of clinical trials -- Surrogate endpoints in cancer clinical trials.

This volume contains refereed papers by participants in the two-week workshop on 'Clinical Trials' and the one-week workshop on 'Epidemiology and the Environment' held as part of the six-week symposium on 'Statistics in the Health Sciences' at the Institute for Mathematics and its Applications (IMA) in the summer of 1997.

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