Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: A joint modeling approach

Biostatistics

Volumn 10, Issue 3, 2009, Pages 535-549

  Proust Lima, Cécile ^a   Taylor, Jeremy M G ^b  

^a INSERM   (France)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Error of prediction; Joint latent class model; Mixed model; Posterior probability; Predictive accuracy; Prostate cancer prognosis

Indexed keywords

PROSTATE SPECIFIC ANTIGEN;

ARTICLE; BIOLOGICAL MODEL; BIOMETRY; BLOOD; COHORT ANALYSIS; HUMAN; MALE; PREDICTION AND FORECASTING; PROBABILITY; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; PROSTATE TUMOR; STATISTICAL MODEL; TUMOR RECURRENCE; VALIDATION STUDY;

BIOMETRY; COHORT STUDIES; HUMANS; MALE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEOPLASM RECURRENCE, LOCAL; PREDICTIVE VALUE OF TESTS; PROBABILITY; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; PROSTATE-SPECIFIC ANTIGEN; PROSTATIC NEOPLASMS;

EID: 70149108170     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxp009     Document Type: Article

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