REFERENCES
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ST 732, M. DAVIDIAN
References
Full citations for all books, monographs, and journal articles referenced in the notes are given here.
Also included are references to texts from which material in the notes was adapted. The books and
monographs cited are all useful resources for learning about futher developments in the analysis of
repeated measurement data.
Crowder, M.J. and Hand, D.J. (1990) Analysis of Repeated Measures.
London: Chapman and
Hall/CRC Press.
Davidian, M. and Giltinan, D.M. (1995) Nonlinear Models for Repeated Measurement Data. London:
Chapman and Hall/CRC Press.
Diggle, P.J., Heagerty, P., Liang, K.-Y., and Zeger, S.L. (2002) Analysis of Longitudinal Data, 2nd
edition. New York: Oxford University Press.
Fitzmaurice, G.M., Laird, N.M., and Ware, J.H. (2004) Applied Longitudinal Analysis. New York:
Wiley.
Gumpertz, M. and Pantula, S.G. (1989) A simple approach to inference in random coefficient models.
The American Statistician 43, 203-210.
Hand, D.J., Daly, F., Lunn, A.D., McConway, K.J., and Ostrowski, E. (1994) A Handbook of Small
Data Sets. London: Chapman and Hall/CRC Press.
Johnson, R.A. and Wichern, D.W. (2002) Applied Multivariate Statistical Analysis, Fifth Edition.
Englewood Cliffs, New Jersey: Prentice Hall.
Laird, N.M. and Ware, J.H. (1982) Random effects models for longitudinal data. Biometrics 38,
963–974.
Lindsey, J.K. (1993) Models for Repeated Measurements. New York: Oxford University Press.
Lipsitz, S.R., Laird, N.M., and Harrington, D.P. (1992) A three-stage estimator for studies with
repeated and possibly missing binary outcomes. Applied Statistics 41, 203–213.
Littell, R.C., Milliken, G.A., Stroup, W.W., and Wolfinger, R.D. (1996) SAS System for Mixed Models,
Cary NC: SAS Institute, Inc.
Little, R.J.A. and Rubin, D.B. (2002) Statistical Analysis with Missing Data, 2nd edition. New York:
Wiley.
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Longford, N.T. (1993) Random Coefficient Models. New York: Oxford University Press.
McCullagh, P. and Nelder, J.A. (1989) Generalized Linear Models, 2nd edition. London: Chapman
and Hall/CRC Press.
Pepe, M.S. and Anderson, G. L. (1994) A cautionary note on inference in marginal regression models
with longitudinal data and general correlated response data. Communications in Statistics –
Simulation and Computation 24, 939–951.
Potthoff, R.F. and Roy, S.N. (1964) A generalized multivariate analysis of variance model useful
especially for growth curve problems. Biometrika 51, 313–326.
Robins, J.M., Greenland, S., and Hu, F.-C. (1999) Estimation of the causal effect of a time-varying
exposure on the marginal mean of a repeated binary outcome. Journal of the American Statistical
Association 94, 687–712.
Rowell, J.G. and Walters, D.E. (1976) Analyzing data with repeated observations on each experimental
unit. Journal of Agricultural Science 87, 423–432.
Steel, R.D.G., Torrie, J.H., and Dickey, D.A. (1997) Principles and Procedures of Statistics: A Biometrical Approach, 3rd Ed. New York: McGraw-Hill.
Thall, P.F. and Vail, S.C. (1990) Some covariance models for longitudinal count data with overdispersion. Biometrics 46, 657–671.
Vonesh, E.F. and Chinchilli, V.M. (1997) Linear and Nonlinear Models for the Analysis of Repeated
Measurements. New York: Marcel Dekker.
Weiss, R.E. (2005) Modeling Longitudinal Data. New York: Springer.
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