This article reviews flexible statistical methods that are useful for characterizing the effect of potential prognostic factors on disease endpoints. Applications to survival models and binary outcome models are illustrated.
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References
1.
Cox D.Regression models and life tables (with discussion). Journal of the Royal Statistical Society B Series 1972; 74: 187-220.
2.
Tibshirani R.A plain man's guide to the proportional hazards model. Clinical and Investigative Medicine1982; 5(1): 63-68.
3.
Hastie T., Sleeper L., Tibshirani R.Flexible covariate effects in the cox model. Breast Cancer Research and Treatment - special issue, 1992.
4.
Taylor SG, Knuiman MW, Sleeper LA et al. Six-year results of the eastern cooperative oncology group trial of observation
5.
versus cmfp versus cmfpt in postmenopausal patients with node-positive breast cancer. Journal of Clinical Oncology 1989; 7: 879-89.
6.
Kalbfleisch J., Prentice R.The statistical analysis of failure time data. New York : Wiley, 1980.
7.
Hastie T., Tibshirani R.Generalized additive models. London and New York: Chapman and Hall, 1990 .
8.
Williams W., Rebeyka I., Tibshirani R. et al. Warm induction cardioplegia in the infant: a technique to avoid rapid cooling myocardial contracture. Journal of Thoracic and Cardiovascular Surgery1990; 100: 896-90.
9.
Hastie T., Botha J., Schnitzler C.Regression with an ordered categorical response. Statistics in Medicine1989; 43: 884-89.
10.
Hastie T., Herman A.An analysis of gestational age, neonatal size and neonatal death using nonparametric logistic regression. Journal of Clinical Epidemiology1990; 43: 1179-90.
11.
Green P., Silverman B.Nonparametric regression and generalized linear models: a roughness penalty approach. London and New York: Chapman and Hall, 1994.
12.
Wahba G.Spline models for observational data. Philadelphia: DIAM, 1990.
13.
Efron B., Tibshirani R.Statistical analysis in the computer age. Science1991;
14.
Kooperberg C. , Stone C., Truong Y.Hazard regression. Technical report. Berkeley: Dept of Statistics, University of California, 1993.