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Statistical Models for Causal Analysis
Robert D. Retherford
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Description for Statistical Models for Causal Analysis
Hardcover. 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.
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.
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.
Product Details
Format
Hardback
Publication date
1993
Publisher
John Wiley and Sons Ltd United States
Number of pages
272
Condition
New
Number of Pages
272
Place of Publication
, United States
ISBN
9780471558026
SKU
V9780471558026
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Robert D. Retherford
Robert D. Retherford and Minja Kim Choe are the authors of Statistical Models for Causal Analysis, published by Wiley.
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