An overall strategy based on regression models to estimate relative survival and model the effetcs of prognostic factors in cancer survival studies

Statistics in Medicine

Volumn 26, Issue 10, 2007, Pages 2214-2228

  Ramontet, Laurent ^a,b,e   Bossard, Nadine ^a,b   Belot, Aurelien ^a,b   Estève, Jacques ^a,b   Velten, M ^c,d   Launoy, G ^c,d   Amar, M H ^c,d   Faivre, J ^c,d   Carli, P M ^c,d   Danzon, A ^c,d   Tretarre B ^c,d   Buemi, A ^c,d   Colonna, M ^c,d   Leroux, M J ^c,d   Maarouf, N ^c,d   Schvartz, C ^c,d   Dubreuil, A ^c,d   Raverdy, N ^c,d   Grosclaude, P ^c,d   Sauvage, M ^c,d  

^a HOSPICES CIVILS DE LYON   (France)

^b UNIVERSITÉ LYON 1   (France)

^c UNIVERSITÉ DE TOULOUSE   (France)

^d Bas Rhin General Cancer Registry ^*  (France)

^e CENTRE HOSPITALIER LYON SUD   (France)

Author keywords

Akaike Information Criterion; Cancer; Non proportional hazards; Registry; Regression splines; Relative survival

Indexed keywords

ADULT; AGED; ALGORITHM; ANALYSIS OF COVARIANCE; ANALYTICAL PARAMETERS; ARTICLE; BIOSTATISTICS; CANCER MORTALITY; CANCER REGISTRY; CANCER SURVIVAL; CLINICAL ASSESSMENT; CONTROLLED STUDY; DATA ANALYSIS; DISEASE MODEL; FEMALE; FOLLOW UP; HUMAN; MALE; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PROGNOSIS; REGRESSION ANALYSIS; RELIABILITY; STANDARDIZATION; SURVIVAL TIME;

AGED; BIOMEDICAL RESEARCH; FEMALE; FRANCE; HUMANS; MALE; MIDDLE AGED; NEOPLASMS; REGRESSION ANALYSIS; SURVIVAL ANALYSIS;

EID: 34247635077     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2656     Document Type: Article

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