This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social and biomedical sciences. The general principles and procedures of statistical inference and model testing are covered. Num Pages: 272 pages, Ill. BIC Classification: JHBC; MBNS; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 238 x 164 x 21. Weight in Grams: 550. . 1993. 1st Edition. Hardcover. . . . .

Bestandsnummer des Verk�ufers V9780471558026

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Bibliografische Details

Titel: Statistical Models for Causal Analysis
Verlag: John Wiley and Sons Ltd
Erscheinungsjahr: 1993
Sprache: Englisch
ISBN-10: 0471558028
ISBN-13: 9780471558026
Einband: Hardcover
Auflage: 1. Auflage
Zustand: New

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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.

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Robert D. Retherford and Minja Kim Choe are the authors of Statistical Models for Causal Analysis, published by Wiley.

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