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

Author:

Alonso Ariel1,Milanzi Elasma2,Molenberghs Geert12,Buyck Christophe3,Bijnens Luc3

Affiliation:

1. Interuniversity Institute for Biostatistics and Statistical Bioinformatics; Katholieke Universiteit Leuven; Leuven Belgium

2. Interuniversity Institute for Biostatistics and statistical Bioinformatics; Universiteit Hasselt; Diepenbeek Belgium

3. Janssen Pharmaceutica; Beerse Belgium

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Reference25 articles.

1. Surrogate endpoints: hopes and perils;Alonso;Pharmacoeconomics and Outcomes Research,2008

2. Identifying promising compounds in drug discovery: genetic algorithms and some new statistical techniques;Mandal;Journal of Chemical Information and Modeling,2007

3. Library enhancement through the wisdom of crowds;Hack;Journal of Chemical Information and Modeling,2011

4. Use of evidence in WHO recommendations;Oxman;Lancet,2007

5. Adjusting for selection bias in retrospective, case-control studies;Geneletti;Biostatistics,2009

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1. An Immune Evolutionary Algorithm with Punishment Mechanism for Public Procurement Expert Selection;Mathematical Problems in Engineering;2021-02-09

2. Computational chemistry at Janssen;Journal of Computer-Aided Molecular Design;2016-12-19

3. A new modeling approach for quantifying expert opinion in the drug discovery process;Statistics in Medicine;2015-02-23

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