Literature DB >> 12766461

A Reply to Gambino's "An Epidemiologic Note on Verification Bias: Implications for Estimation of Rates"

Max W. Abbott1, Rachel A. Volberg.   

Abstract

While two-stage designs in problem gambling research are expensive and relatively difficult to execute, they have the potential to yield more accurate prevalence estimates as well as valuable additional information about gambling and problem gambling in the community. However, gains in precision are heavily dependent on the accuracy of the screening methods used and the sample sizes involved. Sound practice requires reliable information about the variances and confidence levels associated with different screens. In the spirit of contributing to the ongoing dialog about ways to improve the measurement of problem gambling, we examine several reasons to question whether the revised estimates offered by Gambino are in fact an improvement.

Year:  1999        PMID: 12766461     DOI: 10.1023/a:1023097412842

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


  6 in total

1.  Method, method: who's got the method? What can we know about the number of compulsive gamblers?

Authors:  B Gambino
Journal:  J Gambl Stud       Date:  1997

2.  The correction for bias in prevalence estimation with screening tests.

Authors:  B Gambino
Journal:  J Gambl Stud       Date:  1997

3.  The New Zealand national survey of problem and pathological gambling.

Authors:  M W Abbott; R A Volberg
Journal:  J Gambl Stud       Date:  1996-06

Review 4.  Variance estimation for complex surveys using replication techniques.

Authors:  K F Rust; J N Rao
Journal:  Stat Methods Med Res       Date:  1996-09       Impact factor: 3.021

5.  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

6.  Lifetime prevalence estimates of pathological gambling in New Zealand.

Authors:  R A Volberg; M W Abbott
Journal:  Int J Epidemiol       Date:  1994-10       Impact factor: 7.196

  6 in total
  1 in total

1.  Estimating Confidence Intervals and Sampling Proportions in Two-Stage Prevalence Designs.

Authors:  Blase Gambino
Journal:  J Gambl Stud       Date:  1999
  1 in total

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