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Using studies of treatment response to inform treatment choice in heterogeneous populations

Author: Charles F Manski; National Bureau of Economic Research.
Publisher: Cambridge, Mass. : National Bureau of Economic Research, ©2000.
Series: Technical working paper series (National Bureau of Economic Research), technical working paper no. 263.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Abstract: An important practical objective of empirical studies of treatment response is to provide decision makers with information useful in choosing treatments. Often the decision maker is a planner who must choose treatments for the members of a heterogeneous population; for example, a physician may choose medical treatments for a population of patients. Studies of treatment response cannot provide all the  Read more...
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Additional Physical Format: Print version:
Manski, Charles F.
Using studies of treatment response to inform treatment choice in heterogeneous populations.
Cambridge, Mass. : National Bureau of Economic Research, ©2000
(OCoLC)45409559
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Charles F Manski; National Bureau of Economic Research.
OCLC Number: 70202325
Notes: "September 2000."
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
Description: 1 online resource (57 pages).
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Series Title: Technical working paper series (National Bureau of Economic Research), technical working paper no. 263.
Responsibility: Charles F. Manski.

Abstract:

Abstract: An important practical objective of empirical studies of treatment response is to provide decision makers with information useful in choosing treatments. Often the decision maker is a planner who must choose treatments for the members of a heterogeneous population; for example, a physician may choose medical treatments for a population of patients. Studies of treatment response cannot provide all the information that planners would like to have as they choose treatments, but researchers can be of service by addressing several questions: How should studies be designed in order to be most informative? How should studies report their findings so as to be most useful in decision making? How should planners utilize the information that studies provide? This paper addresses aspects of these broad questions, focusing on pervasive problems of identification and statistical inference that arise when studying treatment response.

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