Efficient estimation for patient-specific rates of disease progression using nonnormal linear mixed models

Biometrics

Volumn 64, Issue 1, 2008, Pages 29-38

  Zhang, Peng ^a   Song, Peter X K ^b   Qu, Annie ^c   Greene, Tom ^d  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF WATERLOO   (Canada)

^c OREGON STATE UNIVERSITY   (United States)

^d LERNER RESEARCH INSTITUTE   (United States)

Author keywords

Disease progression; Dropouts; Gauss Newton algorithm; Lack of fit test; Log gamma distribution; Predictive distribution

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATION;

DISEASE PROGRESSION; DROPOUT; GAMMA DISTRIBUTION; GAUSS-NEWTON ALGORITHM; LACK-OF-FIT TEST; LINEAR MIXED MODELS; LOG-GAMMA DISTRIBUTION; NONNORMAL; PREDICTIVE DISTRIBUTIONS; RENAL DISEASE;

RANDOM PROCESSES;

DIET; DISEASE; ESTIMATION METHOD; MAXIMUM LIKELIHOOD ANALYSIS;

ARTICLE; DIET THERAPY; DISEASE COURSE; KIDNEY DISEASE; LIFESTYLE MODIFICATION; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL;

EID: 39849107464     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00824.x     Document Type: Article

References (19)