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Volumn 21, Issue 9, 2002, Pages 1257-1270

Estimating cancer prevalence using mixture models for cancer survival

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; BREAST CANCER; CANCER DIAGNOSIS; CANCER INCIDENCE; CANCER SURVIVAL; CANCER THERAPY; COLON CANCER; CONTROLLED STUDY; FEMALE; HAZARD; HEALTH CARE PLANNING; HUMAN; KIDNEY CANCER; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; MELANOMA; NONHODGKIN LYMPHOMA; PANCREAS CANCER; PREVALENCE; PROSTATE CANCER; PUBLIC HEALTH; RECTUM CANCER; STATISTICAL MODEL; STOMACH CANCER; UTERUS CANCER;

EID: 0037093935     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1101     Document Type: Article
Times cited : (23)

References (19)
  • 5
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    • The use of mixture models for the analysis of survival data with long-term survivors
    • (1982) Biometrics , vol.38 , pp. 1041-1046
    • Farewell, V.T.1
  • 9
    • 0008973254 scopus 로고    scopus 로고
    • MathSoft Inc. S-Plus Users Guide. MathSoft Inc.: Seattle
    • (1997)
  • 11
    • 0009015952 scopus 로고    scopus 로고
    • National Cancer Institute of Canada. Canadian Cancer Statistics 2000. National Cancer Institute of Canada: Toronto
    • (2000)
  • 16
    • 0001356210 scopus 로고
    • A mixture model combining logistic regression with proportional hazards regression
    • (1992) Biometrika , vol.79 , pp. 531-541
    • Kuk, A.Y.1    Chen, C.2
  • 17
    • 0029129572 scopus 로고
    • Semi-parametric estimation in failure time mixture models
    • (1995) Biometrics , vol.51 , pp. 899-907
    • Taylor, J.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.