A tree-based method of analysis for prospective studies

Statistics in Medicine

Volumn 15, Issue 1, 1996, Pages 37-49

  Zhang, Heping ^a   Holford, Theodore ^a   Bracken, Michael B ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; EPIDEMIOLOGY; HIGH RISK POPULATION; LOW BIRTH WEIGHT; PROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR;

BIAS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; DECISION TREES; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; INFANT, LOW BIRTH WEIGHT; INFANT, NEWBORN; LINEAR MODELS; PREGNANCY; PREGNANCY OUTCOME; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS; RISK; RISK FACTORS; STATISTICS, NONPARAMETRIC;

EID: 0030064755     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(19960115)15:1<37::AID-SIM144>3.0.CO;2-0     Document Type: Article

References (12)

1. McCullagh, P. and Nelder, J. A. Generalized Linear Models, 2ndedn, Chapman and Hall, London, 1989.
2. Rubin, D. B. Multiple Imputation for Nonresponse in Surveys, Wiley, New York, 1987.
3. Efron, B. 'Missing data, imputation, and bootstrap', Journal of the American Statistical Association, 89, 463-479 (1994).
4. Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. Classification and Regression Trees, Wadsworth, California, 1984.
5. Segal, M. R. 'Regression trees for censored data', Biometrics, 44, 35-47 (1989).
6. Agresti, A. Categorical Data Analysis, Wiley, New York, 1990.
7. Clark, L. A. and Pregibon, D. 'Tree-based models', in J. M. Chambers and T. J. Hastie (eds), Statistical Models in S, Wadsworth & Brooks/Cole, California 1992, pp. 377-419.
8. Friedman, J. H. 'Estimating functions of mixed ordinal and categorical variables using adaptive splines', Technical Report 108, Department of Statistics, Stanford University, 1991.
9. Zhang, H. P. and Bracken, M. B. 'A tree-based risk factor analysis of preterm delivery and small for gestational age birth', American Journal of Epidemiology, 141, 70-78 (1995).
10. Hatch, E. E. and Bracken, M. B. 'Effect of marijuana use in pregnancy of foetal growth', American Journal of Epidemiology, 124, 986-993 (1986).
11. Efron, B. 'Estimating the error rate of a prediction rule: Improvement on cross-validation', Journal of the American Statistical Association, 78, 316-331 (1983).
12. Burman, P. 'A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods', Biometrika, 76, 503-514 (1989).