Latent class joint model of ovarian function suppression and DFS for premenopausal breast cancer patients

Statistics in Medicine

Volumn 29, Issue 22, 2010, Pages 2310-2324

  Zhang, Jenny J ^a   Wang, Molin ^b  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Breast cancer; Cured proportion; EM algorithm; Joint modeling; Latent class model; Masked event

Indexed keywords

GOSERELIN;

ALGORITHM; ARTICLE; BREAST CANCER; CANCER PATIENT; CANCER SURVIVAL; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DISEASE ASSOCIATION; DISEASE FREE SURVIVAL; FEMALE; HUMAN; OVARY FUNCTION; PREMENOPAUSE; RANDOMIZED CONTROLLED TRIAL;

ADULT; AMENORRHEA; ANTINEOPLASTIC AGENTS, HORMONAL; BREAST NEOPLASMS; DISEASE-FREE SURVIVAL; FEMALE; GONADOTROPIN-RELEASING HORMONE; GOSERELIN; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PREMENOPAUSE; RANDOMIZED CONTROLLED TRIALS AS TOPIC;

EID: 77956934173     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3977     Document Type: Article

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