Literature DB >> 16532509

Relative risk of a shuffled deck: a generalizable logical consistency criterion for sample selection in health state valuation studies.

Benjamin M Craig1, Sulabha Ramachandran.   

Abstract

In a health state valuation study, respondents may be asked to rank a deck of cards, with each card representing a particular health state. A logical inconsistency occurs when a more severe health state card is ranked higher than a less severe card. Occasional inconsistencies may be justified by errors in judgment or measurement. However, when respondents return shuffled decks, their responses must be removed from the sample; otherwise, valuation estimates will be biased toward the median. In this paper, we present a logical consistency criterion for sample selection in health state valuation studies. This statistical criterion is based on the relative risk of a shuffled deck and generalizable to all health state classification systems, subsets (or decks) of health states, and valuation techniques. We applied the criterion to secondary data collected from 4048 United States and 3395 United Kingdom respondents. In both studies, respondents evaluated 12-card decks of EQ-5D health states using time trade-off and visual analog scale techniques. Among the UK respondents, a small portion (approximately 5%) did not satisfy the criterion; their exclusion significantly changed the sample characteristics and the mean value estimates of the EQ-5D health states. Similar results were found among the US respondents. Copyright 2006 John Wiley & Sons, Ltd.

Mesh:

Year:  2006        PMID: 16532509     DOI: 10.1002/hec.1108

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  9 in total

1.  Toward a more universal approach in health valuation.

Authors:  Benjamin M Craig; Jan J V Busschbach
Journal:  Health Econ       Date:  2011-07       Impact factor: 3.046

2.  Learning and satisficing: an analysis of sequence effects in health valuation.

Authors:  Benjamin M Craig; Shannon K Runge; Kim Rand-Hendriksen; Juan Manuel Ramos-Goñi; Mark Oppe
Journal:  Value Health       Date:  2015-02-02       Impact factor: 5.725

3.  Exploring the importance of controlling heteroskedasticity and heterogeneity in health valuation: a case study on Dutch EQ-5D-5L.

Authors:  Suzana Karim; Benjamin M Craig; Catharina G M Groothuis-Oudshoorn
Journal:  Health Qual Life Outcomes       Date:  2022-05-25       Impact factor: 3.077

4.  Modeling ranking, time trade-off, and visual analog scale values for EQ-5D health states: a review and comparison of methods.

Authors:  Benjamin M Craig; Jan J V Busschbach; Joshua A Salomon
Journal:  Med Care       Date:  2009-06       Impact factor: 2.983

5.  Keep it simple: ranking health states yields values similar to cardinal measurement approaches.

Authors:  Benjamin M Craig; Jan J V Busschbach; Joshua A Salomon
Journal:  J Clin Epidemiol       Date:  2008-10-21       Impact factor: 6.437

6.  The effect of time of onset on community preferences for health states: an exploratory study.

Authors:  Eve Wittenberg
Journal:  Health Qual Life Outcomes       Date:  2011-01-20       Impact factor: 3.186

7.  Testing a discrete choice experiment including duration to value health states for large descriptive systems: addressing design and sampling issues.

Authors:  Nick Bansback; Arne Risa Hole; Brendan Mulhern; Aki Tsuchiya
Journal:  Soc Sci Med       Date:  2014-05-20       Impact factor: 4.634

8.  Logical inconsistencies in time trade-off valuation of EQ-5D-5L health states: Whose fault is it?

Authors:  Zhihao Yang; Jan van Busschbach; Reinier Timman; M F Janssen; Nan Luo
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

9.  The episodic random utility model unifies time trade-off and discrete choice approaches in health state valuation.

Authors:  Benjamin M Craig; Jan Jv Busschbach
Journal:  Popul Health Metr       Date:  2009-01-13
  9 in total

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