Multivariable Analysis : an introduction - Feinstein, Alvan R. (New Haven, Conn. : Yale University Press, 1996)
Ch.1 Introduction -- Ch.2 Goals of univariate and bivariate analysis -- Ch.3 Goals of multivariable analysis -- Ch.4 Taxonomy of multivariable methods -- Ch.5 Classification and coding decisions -- Ch.6 Appraisal of simple displays -- Ch.7 Simple linear regression: the algebraic prototype -- Ch.8 Stratified rates: the cluster prototype -- Ch.9 Bivariate evaluations of illustrative data set -- Ch.10 Complexity of additional independent variables -- Ch.11 Multivariable explorations and reductions -- Ch.12 Evaluations and illustrations of multiple linear regression -- Ch.13 Multiple logistic regression -- Ch.14 Evaluations and illustrations of logistic regression -- Ch.15 Proportional hazards analysis (Cox regression) -- Ch.16 Evaluations and illustrations of Cox regression -- Ch.17 Discriminant function analysis -- Ch.18 Illustrations of discriminant function analysis -- Ch.19 Basic strategies of cluster operations -- Ch.20 Multicategorical stratification -- Ch.21 Recursive partitioning -- Ch.22 Additional discussion and conclusions
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Keywords: Multivariate analysis; Statistics