Literature DB >> 15295134

Impact of measurement error in the study of sexually transmitted infections.

L Myer1, C Morroni, B G Link.   

Abstract

Measurement is a fundamental part of all scientific research, and the introduction of errors of different sorts is an inevitable part of the measurement process in epidemiological and clinical research. Despite the ubiquity of measurement error in research, the substantial impacts which measurement error can have on data and subsequent study inferences are frequently overlooked. This review introduces the basic concepts of measurement error that are most relevant to the study of sexually transmitted infections, and demonstrates the impacts of several of the most common forms of measurement error on study results. A self assessment test and MCQs follow this paper.

Mesh:

Year:  2004        PMID: 15295134      PMCID: PMC1744864          DOI: 10.1136/sti.2003.006536

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


  16 in total

1.  A renaissance for measurement error.

Authors:  K B Michels
Journal:  Int J Epidemiol       Date:  2001-06       Impact factor: 7.196

2.  Validity of the vaginal gram stain for the diagnosis of bacterial vaginosis.

Authors:  J R Schwebke; S L Hillier; J D Sobel; J A McGregor; R L Sweet
Journal:  Obstet Gynecol       Date:  1996-10       Impact factor: 7.661

Review 3.  Study design for epidemiologic studies with measurement error.

Authors:  T R Holford; C Stack
Journal:  Stat Methods Med Res       Date:  1995-12       Impact factor: 3.021

4.  Correction of risk estimates for measurement error in epidemiology.

Authors:  S A Bashir; S W Duffy
Journal:  Methods Inf Med       Date:  1995-12       Impact factor: 2.176

5.  The effects of misclassification on the estimation of relative risk.

Authors:  B A Barron
Journal:  Biometrics       Date:  1977-06       Impact factor: 2.571

6.  Bias due to non-differential misclassification of polytomous confounders.

Authors:  H Brenner
Journal:  J Clin Epidemiol       Date:  1993-01       Impact factor: 6.437

7.  The design of prospective epidemiological studies: more subjects or better measurements?

Authors:  A N Phillips; G D Smith
Journal:  J Clin Epidemiol       Date:  1993-10       Impact factor: 6.437

8.  Condom use to prevent incident STDs: the validity of self-reported condom use.

Authors:  J M Zenilman; C S Weisman; A M Rompalo; N Ellish; D M Upchurch; E W Hook; D Celentano
Journal:  Sex Transm Dis       Date:  1995 Jan-Feb       Impact factor: 2.830

9.  Hormonal contraception, sexually transmitted diseases, and risk of heterosexual transmission of human immunodeficiency virus type 1.

Authors:  H L Martin; P M Nyange; B A Richardson; L Lavreys; K Mandaliya; D J Jackson; J O Ndinya-Achola; J Kreiss
Journal:  J Infect Dis       Date:  1998-10       Impact factor: 5.226

10.  Hormonal contraceptive use and HIV-1 infection in a population-based cohort in Rakai, Uganda.

Authors:  Mohammed Kiddugavu; Fred Makumbi; Maria J Wawer; David Serwadda; Nelson K Sewankambo; Fred Wabwire-Mangen; Tom Lutalo; Mary Meehan; Ronald H Gray
Journal:  AIDS       Date:  2003-01-24       Impact factor: 4.177

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  2 in total

1.  The Demand for, and Impact of, Learning HIV Status.

Authors:  Rebecca L Thornton
Journal:  Am Econ Rev       Date:  2008-12-01

2.  Added Value of a Blinded Outcome Adjudication Committee in an Open-Label Randomized Stroke Trial.

Authors:  Nadinda A M van der Ende; Bob Roozenbeek; Olvert A Berkhemer; Peter J Koudstaal; Jelis Boiten; Ewoud J van Dijk; Yvo B W E M Roos; Robert J van Oostenbrugge; Charles B L M Majoie; Wim van Zwam; Hester F Lingsma; Aad van der Lugt; Diederik W J Dippel
Journal:  Stroke       Date:  2021-10-05       Impact factor: 7.914

  2 in total

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