TY - JOUR
T1 - A rank statistic for assessing the amount of variation explained by risk factors in epidemiologic studies
AU - Liu, Kiang
AU - Dyer, Alan R.
N1 - Funding Information:
From the Department of Community Health and Preventive Medicine, Northwestern U. Medical School, 303 E. Chicago Ave., Chicago, IL 60611. (Reprint requests to Dr. Kiang Liu at this address.) Supported by the American Heart Association and by Grants No. 2 R01 HL15174 and No. 5T32 HL07113 from the National Heart, Lung, and Blood Institute, National Institutes of Health, US Public Health Service.
PY - 1979/5
Y1 - 1979/5
N2 - A statistic, Q, based on the ranks of the estimated probabilities of disease is proposed for assessing the effectiveness of regression models used with dichotomous dependent variables in epidemiologic studies of risk factors for chronic diseases. The pitfalls of R2 are discussed, and the proposed statistic is compared with R2 utilizing 8.6-year incidence data from the national cooperative Pooling Project and 15-year mortality data from the Chicago Peoples Gas Company Study. Based on the risk factors, systolic blood pressure, serum cholesterol, and smoking status for middle-aged males, the proposed statistic, Q, attains from 27-44% of its maximum value for the endpoint, the first major coronary event, and from 35-46% of the maximum for death from the cardiovascular diseases.
AB - A statistic, Q, based on the ranks of the estimated probabilities of disease is proposed for assessing the effectiveness of regression models used with dichotomous dependent variables in epidemiologic studies of risk factors for chronic diseases. The pitfalls of R2 are discussed, and the proposed statistic is compared with R2 utilizing 8.6-year incidence data from the national cooperative Pooling Project and 15-year mortality data from the Chicago Peoples Gas Company Study. Based on the risk factors, systolic blood pressure, serum cholesterol, and smoking status for middle-aged males, the proposed statistic, Q, attains from 27-44% of its maximum value for the endpoint, the first major coronary event, and from 35-46% of the maximum for death from the cardiovascular diseases.
KW - Biometry
KW - Coronary disease
KW - Epidemiologic methods
KW - Probability
KW - Statistics
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U2 - 10.1093/oxfordjournals.aje.a112718
DO - 10.1093/oxfordjournals.aje.a112718
M3 - Article
C2 - 453180
AN - SCOPUS:0018579684
SN - 0002-9262
VL - 109
SP - 597
EP - 606
JO - American journal of epidemiology
JF - American journal of epidemiology
IS - 5
ER -
