Literature DB >> 23526052

Setting criterion thresholds for estimating prevalence: what is being validated?

Blase Gambino1.   

Abstract

Much of the debate over how best to estimate the prevalence of problem gambling in the general population is driven by a number of misconceptions, misinterpretations, and questionable, sometimes erroneous assumptions. Among the latter is the failure to understand that what is being validated is not the test but the interpretation of test scores for a specific purpose. In addition there has been a lack of attention to defining the clinical and/or epidemiologic relevance of case definitions in terms of severity and other clinical attributes, a misunderstanding of how test values are interpreted when criterion thresholds or cut-off points are selected, and a failure to replicate the validation of criterion thresholds for defining cases of problem gambling. It is argued further that the distinction between dichotomy and continuum is a false choice, and any emphasis on overestimation is misdirected. Alternative methods for evaluating tests and estimating prevalence are described and a pragmatic empirical approach to the interpretation of prevalence estimates is recommended.

Mesh:

Year:  2014        PMID: 23526052     DOI: 10.1007/s10899-013-9380-y

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  67 in total

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4.  A latent class analysis of DSM-IV pathological gambling criteria in a nationally representative British sample.

Authors:  Orla McBride; Gary Adamson; Mark Shevlin
Journal:  Psychiatry Res       Date:  2010-05-20       Impact factor: 3.222

Review 5.  Risk factors for problematic gambling: a critical literature review.

Authors:  Agneta Johansson; Jon E Grant; Suck Won Kim; Brian L Odlaug; K Gunnar Götestam
Journal:  J Gambl Stud       Date:  2009-03

Review 6.  A principled approach to setting optimal diagnostic thresholds: where ROC and indifference curves meet.

Authors:  R John Irwin; Timothy C Irwin
Journal:  Eur J Intern Med       Date:  2011-01-26       Impact factor: 4.487

7.  The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers.

Authors:  H R Lesieur; S B Blume
Journal:  Am J Psychiatry       Date:  1987-09       Impact factor: 18.112

8.  Using a Rasch model to examine the utility of the South Oaks Gambling Screen across clinical and community samples.

Authors:  David R Strong; Henry R Lesieur; Robert B Breen; Randy Stinchfield; C W Lejuez
Journal:  Addict Behav       Date:  2004-05       Impact factor: 3.913

9.  The use of imperfect diagnostic tests had an impact on prevalence estimation.

Authors:  G Ihorst; J Forster; G Petersen; H Werchau; A Rohwedder; M Schumacher
Journal:  J Clin Epidemiol       Date:  2007-05-04       Impact factor: 6.437

10.  The South Oaks Gambling Screen-revised Adolescent (SOGS-RA) revisited: a cut-point analysis.

Authors:  Brock Boudreau; Christiane Poulin
Journal:  J Gambl Stud       Date:  2007-09
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  1 in total

1.  Test Performance Variation Between Settings and Populations.

Authors:  Blase Gambino
Journal:  J Gambl Stud       Date:  2018-12
  1 in total

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