Data mining and statistically guided clinical review of adverse event data in clinical trials

Journal of Biopharmaceutical Statistics

Volumn 19, Issue 5, 2009, Pages 803-817

  Southworth, H ^a   O'Connell, M ^b  

^a ASTRAZENECA   (United Kingdom)

^b Tibco ^*

Author keywords

Adverse events; Boosting; Clinical trials; Data mining; Drug safety; Hierarchical models; Penalized likelihood; Random forests

Indexed keywords

PLACEBO;

ADVERSE DRUG REACTION; BAYES THEOREM; CLINICAL TRIAL; DATA MINING; DRUG SAFETY; HYPOTHESIS TESTING; INCIDENCE; LOGISTIC REGRESSION ANALYSIS; MEASUREMENT ERROR; NULL HYPOTHESIS; PRIORITY JOURNAL; REVIEW; RISK; STATISTICAL ANALYSIS;

BAYES THEOREM; COMPUTER GRAPHICS; DATA INTERPRETATION, STATISTICAL; DATA MINING; DRUG THERAPY; EVIDENCE-BASED MEDICINE; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REGRESSION ANALYSIS; RISK ASSESSMENT; RISK FACTORS; TREATMENT OUTCOME;

EID: 75149187854     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400903105232     Document Type: Review

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