Impact of the model-building strategy on inference about nonlinear and time-dependent covariate effects in survival analysis

Statistics in Medicine

Volumn 33, Issue 19, 2014, Pages 3318-3337

  Wynant, Willy ^a   Abrahamowicz, Michal ^a,b  

^a MCGILL UNIVERSITY   (Canada)

^b ROYAL VICTORIA HOSPITAL   (Canada)

Author keywords

Cox's proportional hazards model; Flexible modeling; Hypothesis testing; Model building strategy; Residual confounding

Indexed keywords

ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; CANCER PROGNOSIS; CANCER SURVIVAL; HUMAN; LUNG NON SMALL CELL CANCER; MATHEMATICAL COMPUTING; MATHEMATICAL VARIABLE; NONLINEAR COVARIATE EFFECT; NULL HYPOTHESIS; PROPORTIONAL HAZARDS MODEL; SIMULATION; STUDY DESIGN; SURVIVAL; TIME DEPENDENT COVARIATE EFFECT; VALIDITY; ADVERSE EFFECTS; BIOSTATISTICS; BLOOD; COMPUTER SIMULATION; LEUKOCYTE COUNT; LUNG TUMOR; METABOLISM; MORTALITY; MULTIVARIATE ANALYSIS; NEUTROPHIL; NON SMALL CELL LUNG CANCER; NONLINEAR SYSTEM; PROGNOSIS; SMOKING; STATISTICAL MODEL; TIME;

C REACTIVE PROTEIN; SERUM ALBUMIN; TUMOR MARKER;

BIOSTATISTICS; C-REACTIVE PROTEIN; CARCINOMA, NON-SMALL-CELL LUNG; COMPUTER SIMULATION; HUMANS; LEUKOCYTE COUNT; LIKELIHOOD FUNCTIONS; LINEAR MODELS; LUNG NEOPLASMS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NEUTROPHILS; NONLINEAR DYNAMICS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; SERUM ALBUMIN; SMOKING; SURVIVAL ANALYSIS; TIME FACTORS; TUMOR MARKERS, BIOLOGICAL;

EID: 84904002233     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6178     Document Type: Article

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