Modeling missingness for time-to-event data: A case study in osteoporosis

Journal of Biopharmaceutical Statistics

Volumn 14, Issue 4, 2004, Pages 1005-1019

  Neuenschwander, Beat ^a   Branson, Michael ^a  

^a NOVARTIS PHARMA AG   (Switzerland)

Author keywords

Bayesian; Continuation ratio model; Interval censored; Nonignorable missing

Indexed keywords

PLACEBO; SALCATONIN;

ALGORITHM; BAYES THEOREM; CLINICAL TRIAL; COVARIANCE; DATA ANALYSIS; FOLLOW UP; HUMAN; MISSING DATA; MONTE CARLO METHOD; POSTMENOPAUSE OSTEOPOROSIS; PRIORITY JOURNAL; PROBABILITY; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME; VERTEBRA FRACTURE;

AGED; ALGORITHMS; DATA INTERPRETATION, STATISTICAL; FEMALE; FRACTURES, BONE; HUMANS; JOINT DISEASES; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MARKOV CHAINS; MIDDLE AGED; MODELS, STATISTICAL; MONTE CARLO METHOD; OSTEOPOROSIS; PATIENT DROPOUTS; POSTMENOPAUSE; PROPORTIONAL HAZARDS MODELS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SOFTWARE; TERMINOLOGY; TIME FACTORS;

EID: 9244237579     PISSN: 10543406     EISSN: None     Source Type: Journal    
DOI: 10.1081/BIP-200035478     Document Type: Review

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