Reading list: multivariate and multivariable analysis

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Books

  • Afifi,A.A. and Clark,V. 1996: Computer-aided multivariate analysis. 3rd edition. Chapman and Hall, London, 455pp. (excellent and very readable in many areas, but missing in others)
  • Cliff,N. 1987: Analyzing multivariate data. Harcourt Brace Jovanovich, Publ., San Diego, U.S.A., 494pp.
  • Collett, D. 1991. Modelling binary data. London: Chapman and Hall. 369pp. (excellent text book about logistic regression)
  • Dobson, A. 1990. Introduction to generalized linear models. 2nd edition.Chapman and Hall. 250pp.
  • Hosmer,D.W. and Lemeshow,S. 2000. Applied logistic regression. 2nd edition. New York: John Wiley & Sons. 375pp.
  • Kleinbaum,D.G., Kupper,L.L. and Muller,K.E. 1988: Applied regression analysis and other multivariable methods. 2nd ed., PWS-Kent Publishing Company, Boston, 718pp.
  • Little,R.J.A. and Rubin,D.B. 1987: Statistical analysis with missing data. John Wiley & Sons, New York, U.S.A., 278pp. (reasonable introduction to missing data problems in analysis)
  • McCullagh,P. and Nelder,J.A. 1989: Generalized linear models. 2nd edition. Chapman and Hall, London, Great Britain, 511pp.
  • Pedhazur,E.J. 1982: Multiple regression in behavioral research. Holt, Rinehart and Winston, New York, 822pp.
  • Goldstein,H. 1995: Multilevel statistical models. 2nd edition. Edward Arnold, London. 178pp. (covers random effects, hierarchical or multilevel modelling)

Online publications