Regression models for prognostic prediction: Advantages, problems, and suggested solutions

Cancer Treatment Reports

Volumn 69, Issue 10, 1985, Pages 1071-1077

  Harrell Jr , F E ^a   Lee, K L ^a   Matchar, D B ^a   Reichert, T A ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER; CLINICAL TRIAL; COMPUTER ANALYSIS; HUMAN; METHODOLOGY; PRIORITY JOURNAL; PROGNOSIS; REGRESSION ANALYSIS; SAMPLE;

ANTINEOPLASTIC COMBINED CHEMOTHERAPY PROTOCOLS; CARDIOVASCULAR DISEASES; HUMAN; LYMPHOMA; MODELS, BIOLOGICAL; PROBABILITY; PROGNOSIS; REGRESSION ANALYSIS; SAMPLING STUDIES; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0021857146     PISSN: 03615960     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (0)