A penalized likelihood approach for mixture cure models

Statistics in Medicine

Volumn 28, Issue 3, 2009, Pages 510-524

  Corbière, Fabien ^a,b,d   Commenges, Daniel ^a,b   Taylor, Jeremy M G ^c   Joly, Pierre ^a,b  

^a INSERM   (France)

^b UNIVERSITÉ DE BORDEAUX   (France)

^c UNIVERSITY OF MICHIGAN   (United States)

^d UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Mixture cure models; Penalized likelihood; Risk function; Splines; Survival analysis

Indexed keywords

ADULT; ARTICLE; CANCER RECURRENCE; CANCER SURVIVAL; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; PARAMETRIC TEST; PENALIZED LIKELIHOOD ANALYSIS; SIMULATION; SQUAMOUS CELL CARCINOMA; STATISTICAL ANALYSIS; STATISTICAL MODEL; TONSIL CANCER; DISEASE FREE SURVIVAL; EPIDEMIOLOGY; SURVIVAL; THEORETICAL MODEL;

BIAS (EPIDEMIOLOGY); DISEASE-FREE SURVIVAL; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; MALE; MODELS, THEORETICAL; SURVIVAL ANALYSIS;

EID: 63049102036     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3481     Document Type: Article

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