Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/41668
Title: Reflections on the concept of optimality of single decision point treatment regimes
Authors: Tran, Trung Dung
Abad, Ariel Alonso
VERBEKE, Geert 
MOLENBERGHS, Geert 
Van Mechelen, Iven
Issue Date: 2023
Publisher: WILEY
Source: BIOMETRICAL JOURNAL, (Art N° 2200285)
Abstract: In many areas, applied researchers as well as practitioners have to choose between different solutions for a problem at hand; this calls for optimal decision rules to settle the choices involved. As a key example, one may think of the search for optimal treatment regimes (OTRs) in clinical research, that specify which treatment alternative should be administered to each patient under study. Motivated by the fact that the concept of optimality of decision rules in general and treatment regimes in particular has received so far relatively little attention and discussion, we will present a number of reflections on it, starting from the basics of any optimization problem. Specifically, we will analyze the search space and the to be optimized criterion function underlying the search of single decision point OTRs, along with the many choice aspects that show up in their specification. Special attention is paid to formal characteristics and properties as well as to substantive concerns and hypotheses that may guide these choices. We illustrate with a few empirical examples taken from the literature. Finally, we discuss how the presented reflections may help sharpen statistical thinking about optimality of decision rules for treatment assignment and to facilitate the dialogue between the statistical consultant and the applied researcher in search of an OTR.
Notes: Van Mechelen, I (corresponding author), Quantitat Psychol & Individual Differences, KU Leuven, B-3000 Leuven, Belgium.
Iven.VanMechelen@kuleuven.be
Keywords: criterion function;optimal treatment regime;precision medicine;search space
Document URI: http://hdl.handle.net/1942/41668
ISSN: 0323-3847
e-ISSN: 1521-4036
DOI: 10.1002/bimj.202200285
ISI #: 001067381200001
Rights: 2023 Wiley-VCH GmbH.
Category: A2
Type: Journal Contribution
Appears in Collections:Research publications

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