Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery process

Pharmaceutical Statistics

Volumn 14, Issue 2, 2015, Pages 129-138

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

^a UNIVERSITY OF LEUVEN   (Belgium)

^b HASSELT UNIVERSITY   (Belgium)

^c JANSSEN RESEARCH FOUNDATION   (Belgium)

Author keywords

drug discovery; hierarchical models; missing data; sensitivity analysis

Indexed keywords

CHEMICAL COMPOUND; DRUG;

ARTICLE; CASE STUDY; CLUSTER ANALYSIS; DRUG DEVELOPMENT; SELECTION BIAS; SIMULATION; STATISTICAL ANALYSIS; CHEMISTRY; DRUG INDUSTRY; DRUG SCREENING; HUMAN; PROCEDURES;

CLUSTER ANALYSIS; DRUG DISCOVERY; DRUG EVALUATION, PRECLINICAL; DRUG INDUSTRY; HUMANS; PHARMACEUTICAL PREPARATIONS; SELECTION BIAS;

EID: 84925448684     PISSN: 15391604     EISSN: 15391612     Source Type: Journal    
DOI: 10.1002/pst.1665     Document Type: Article

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