RELATION OF POOLED LOGISTIC-REGRESSION TO TIME-DEPENDENT COX REGRESSION-ANALYSIS - THE FRAMINGHAM HEART-STUDY

被引：669

作者：

DAGOSTINO, RB

LEE, ML

BELANGER, AJ

CUPPLES, LA

ANDERSON, K

KANNEL, WB

机构：

[1] Mathematics Department, Boston University, Boston, Massachusetts, 02215

[2] Boston University School of Public Health, Boston, Massachusetts, 02118

[3] National Heart,Lung and Blood Institute, Framingham, Massachusetts, 01701

[4] Boston University, School of Medicine, Boston, Massachusetts, 02118

来源：

STATISTICS IN MEDICINE | 1990年 / 9卷 / 12期

关键词：

D O I：

10.1002/sim.4780091214

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A standard analysis of the Framingham Heart Study data is a generalized person‐years approach in which risk factors or covariates are measured every two years with a follow‐up between these measurement times to observe the occurrence of events such as cardiovascular disease. Observations over multiple intervals are pooled into a single sample and a logistic regression is employed to relate the risk factors to the occurrence of the event. We show that this pooled logistic regression is close to the time dependent covariate Cox regression analysis. Numerical examples covering a variety of sample sizes and proportions of events display the closeness of this relationship in situations typical of the Framingham Study. A proof of the relationship and the necessary conditions are given in the Appendix. Copyright © 1990 John Wiley & Sons, Ltd.

引用

页码：1501 / 1515

页数：15

共 14 条

[1]

Dawber T.R., The Framingham Study: the Epidemiology of Atherosclerotic Disease, (1980)

[2]

D'Agostino R.B., Kannel W.B., pp. 707-718, (1989)

[3]

Shurtleff D., Section 30: some characteristics related to the incidence of cardiovascular disease and death: Framingham Study 18‐year follow‐up, The Framingham Study: an Epidemiological Investigation of Cardiovascular Disease, pp. 74-599, (1974)

[4]

Kahn H.A., Dawber T.R., The development of coronary heart disease in relation to sequential biennial measures of cholesterol in the Framingham Study, Journal of Chronic Diseases, 19, pp. 611-620, (1966)

[5]

Schatzkin A., Cupples L.A., Heeren T., Morelork S., Kannel W.B., Sudden death in the Framingham Heart Study: differences in incidence and risk factors by sex and coronary disease status, American Journal of Epidemiology, 120, pp. 888-899, (1984)

[6]

Cupples L.A., D'Agostino R.B., Anderson K., Kannel W.B., Comparison of baseline and repeated measure covariate techniques in the Framingham Heart Study, Statistics in Medicine, 7, pp. 205-218, (1988)

[7]

Wu M., Ware J.H., On the use of repeated measurements in regression analysis with dichotomous response, Biometrics, 35, pp. 513-521, (1979)

[8]

Kalbfleisch J.D., Prentice R.L., The Statistical Analysis of Failure Time Data, (1980)

[9]

Cox D.R., Oakes D., Analysis of Survival Data, (1984)

[10]

Thompson W.A., On the treatment of grouped observations in life studies, Biometrics, 33, pp. 463-470, (1977)

← 1 2 →