Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/18649
Title: | Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery process. | Authors: | MILANZI, Elasma ALONSO ABAD, Ariel MOLENBERGHS, Geert Buyck, Christophe BIJNENS, Luc |
Issue Date: | 2015 | Source: | Pharmaceutical statistics, 14 (2), p. 129-138 | Abstract: | Expert opinion plays an important role when selecting promising clusters of chemical compounds in the drug discovery process. Indeed, experts can qualitatively assess the potential of each cluster, and with appropriate statistical methods, these qualitative assessments can be quantified into a success probability for each of them. However, one crucial element often overlooked is the procedure by which the clusters are assigned to/selected by the experts for evaluation. In the present work, the impact such a procedure may have on the statistical analysis and the entire evaluation process is studied. It has been shown that some implementations of the selection procedure may seriously compromise the validity of the evaluation even when the rating and selection processes are independent. Consequently, the fully random allocation of the clusters to the experts is strongly advocated. | Notes: | Correspondence to: Ariel Alonso, Interuniversity Institute for Biostatistics and statistical Bioinformatics, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium. E-mail: Ariel.AlonsoAbad@kuleuven.be | Keywords: | drug discovery; missing data; sensitivity analysis; hierarchical models | Document URI: | http://hdl.handle.net/1942/18649 | ISSN: | 1539-1604 | e-ISSN: | 1539-1612 | DOI: | 10.1002/pst.1665 | ISI #: | 000351527100007 | Rights: | Copyright © 2014 John Wiley & Sons, Ltd. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2016 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Bias_Impact.pdf Restricted Access | Published version | 221.35 kB | Adobe PDF | View/Open Request a copy |
selection-bias22.pdf | Peer-reviewed author version | 314.3 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
2
checked on Sep 3, 2020
WEB OF SCIENCETM
Citations
3
checked on Oct 13, 2024
Page view(s)
60
checked on Sep 7, 2022
Download(s)
134
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.