Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

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Bibliography


Anath, C.V., and Kleinbaum, D.G., Regression models for ordinal responses: A review
of methods and applications,Int. J. Epidemiol. 26: 1323–1333, 1997.


Belsey, D.A., Kuh, E., and Welsch, R. E.,Regression Diagnostics: Identifying Influen-
tial Data and Sources of Collinearity, Wiley, New York, NY, 1980.


Benjamini, Y., and Hochberg, Y., Controlling the false discovery rate: A practical and
powerful approach to multiple testing,J. R. Statist. Soc. B, 57(1): 289–300, 1995.


Berkson, J. Limitations of the application of fourfold table analysis to hospital data,
Biometrics, 2: 47–53, 1946.


Bishop, Y.M.M., Fienberg, S.E., and Holland, P.W.,Discrete Multivariate Analysis:
Theory and Practice, MIT Press, Cambridge, MA, 1975.


Breslow, N.E., and Clayton, D. G., Approximate inference in generalized linear mixed
models,J. Am. Stat. Assoc.88: 9–25, 1993.


Breslow, N.E., and Day, N.E.,Statistical Methods in Cancer Research, Vol. 1: The
Analysis of Case-Control Studies, IARC, Lyon, 1981.


*Brock, K.E., Berry, G., Mock, P. A., MacLennan, R., Truswell, A.S., and Brinton, L.
A., Nutrients in diet and plasma and risk of in situ cervical cancer,J. Natl. Cancer
Inst.80(8):580–585, 1988.


Cannon, M.J., Warner, L., Taddei, J.A., and Kleinbaum, D.G., What can go wrong
when you assume that correlated data are independent: An illustration from the
evaluation of a childhood health intervention in Brazil,Stat. Med.20: 1461–1467,
2001.


Carey, V., Zeger, S.L., and Diggle, P., Modelling multivariate binary data with alter-
nating logistic regressions,Biometrika80(3): 7–526, 1991.


Collett, D.,Modelling Binary Data, Chapman and Hall, 1991.


*Sources for practice exercises or test questions presented at the end of several chapters.

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