A new modeling approach for quantifying expert opinion in the drug discovery process

Statistics in Medicine

Volumn 34, Issue 9, 2015, Pages 1590-1604

  Alonso, Ariel ^a   Milanzi, Elasma ^b   Molenberghs, Geert ^a,b   Buyck, Christophe ^c   Bijnens, Luc ^c  

^a KU LEUVEN   (Belgium)

^b HASSELT UNIVERSITY   (Belgium)

^c JANSSEN RESEARCH FOUNDATION   (Belgium)

Author keywords

Combined model; Selection bias; Sensitivity; Shared parameter

Indexed keywords

ARTICLE; COMBINED MODEL APPROACH; CONCEPTUAL FRAMEWORK; CORRELATION ANALYSIS; DECISION MAKING; DRUG DEVELOPMENT; DRUG INDUSTRY; GENERALIZED LINEAR MIXED MODEL; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PROBABILITY; QUALITATIVE ANALYSIS; SIMULATION; CLUSTER ANALYSIS; COMPUTER SIMULATION; EXPERT SYSTEM; HUMAN; PROCEDURES; STATISTICAL MODEL;

CLUSTER ANALYSIS; COMPUTER SIMULATION; DRUG DISCOVERY; DRUG INDUSTRY; EXPERT SYSTEMS; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL;

EID: 84926391762     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6459     Document Type: Article

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