Statistical Models for Causal Analysis by Robert D. RetherfordStatistical Models for Causal Analysis by Robert D. Retherford

Statistical Models for Causal Analysis

byRobert D. Retherford, Minja Kim Choe

Hardcover | December 6, 1993

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Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bivariate regression, multiple regression, multiple classification analysis, path analysis, logit regression, multinomial logit regression and survival models are among the subjects covered. Features an appendix of computer programs (for major statistical packages) that are used to generate illustrative examples contained in the chapters.
Title:Statistical Models for Causal AnalysisFormat:HardcoverDimensions:272 pages, 9.57 × 6.28 × 0.71 inPublished:December 6, 1993Publisher:Wiley

The following ISBNs are associated with this title:

ISBN - 10:0471558028

ISBN - 13:9780471558026

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Table of Contents

Bivariate Linear Regression.

Multiple Regression.

Multiple Classification Analysis.

Path Analysis.

Logit Regression.

Multinomial Logit Regression.

Survival Models 1: Life Tables.

Survival Models 2: Proportional Hazard Models.

Survival Models 3: Hazard Models with Time Dependence.

Appendices.

References.

Index.