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Statistical Models for Causal Analysis - Robert D. Retherford

Statistical Models for Causal Analysis

Hardcover Published: 6th December 1993
ISBN: 9780471558026
Number Of Pages: 272

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This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social and biomedical sciences. Models covered include simple bivariate regressions, multiple regression, multiple classification analysis, path analysis, logistic regression, multinomial logistic regression and survival models. The goal is to impart a working knowledge of these models with a minimum of mathematics. General principles and procedures of statistical inference and model testing are covered, but derivations of sampling distributions and standard errors are omitted, thereby circumventing the need for a great deal of complex mathematics. On the other hand, a fair amount of mathematical detail is retained in the discussions of model specification and interpretation. The book also contains an appendix of computer programs that are written for the major statistical packages, including SAS, BMDP, and LIMDEP.

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.

ISBN: 9780471558026
ISBN-10: 0471558028
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 272
Published: 6th December 1993
Country of Publication: US
Dimensions (cm): 24.3 x 15.95  x 1.81
Weight (kg): 0.47
Edition Number: 1

Earn 476 Qantas Points
on this Book