Semiparametric modeling of longitudinal measurements and time-to-event data - A two-stage regression calibration approach

Biometrics

Volumn 64, Issue 4, 2008, Pages 1238-1246

  Ye, Wen ^a   Lin, Xihong ^b   Taylor, Jeremy M G ^a  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Joint modeling; Longitudinal data; Semiparametric mixed models; Smoothing splines; Survival analysis

Indexed keywords

BIOMARKERS; DISEASES; RANDOM PROCESSES; REGRESSION ANALYSIS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; UROLOGY;

JOINT MODELS; LONGITUDINAL DATA; LONGITUDINAL MODELS; MIXED MODELING; REGRESSION CALIBRATION METHODS; SEMIPARAMETRIC; SEMIPARAMETRIC MIXED MODEL; SMOOTHING SPLINE; SURVIVAL ANALYSIS; SURVIVAL DATA;

CALIBRATION;

PROSTATE SPECIFIC ANTIGEN;

BIOMARKER; CALIBRATION; CANCER; DATA SET; MENS HEALTH; MODELING; REGRESSION ANALYSIS; STOCHASTICITY; SURVIVAL;

ARTICLE; CANCER RECURRENCE; CANCER SURVIVAL; MATHEMATICAL COMPUTING; PROPORTIONAL HAZARDS MODEL; PROSTATE CANCER; REGRESSION ANALYSIS; SURVIVAL RATE;

EID: 56049124129     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00983.x     Document Type: Article

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