Literature DB >> 6460072

Estimating the prevalence of disability in the community: the influence of sample design and response bias.

D Locker, R Wiggins, Y Sittampalam, D L Patrick.   

Abstract

An estimate of the prevalence of physical disability in the community based upon a sample survey may be influenced by the sample design and the response to the method of data collection employed. In this paper we describe a postal survey of a sample of households in the London borough of Lambeth and the procedures used for calculating the influence of these factors on the estimate produced. These procedures can be used to adjust the estimate to take account of the relative chance of households falling into the sample and to correct for non-response bias.

Mesh:

Year:  1981        PMID: 6460072      PMCID: PMC1052159          DOI: 10.1136/jech.35.3.208

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  2 in total

1.  Bias resulting from missing information: some epidemiological findings.

Authors:  A Cox; M Rutter; B Yule; D Quinton
Journal:  Br J Prev Soc Med       Date:  1977-06

2.  Chronic disease and disability in the community: a prevalence study.

Authors:  A E Bennett; J Garrad; T Halil
Journal:  Br Med J       Date:  1970-09-26
  2 in total
  12 in total

1.  Non-responders to a postal questionnaire on respiratory symptoms and diseases.

Authors:  E Rönmark; A Lundqvist; B Lundbäck; L Nyström
Journal:  Eur J Epidemiol       Date:  1999-03       Impact factor: 8.082

2.  Factors influencing the effectiveness of mailed health surveys.

Authors:  G H Gilbert; J Longmate; L G Branch
Journal:  Public Health Rep       Date:  1992 Sep-Oct       Impact factor: 2.792

3.  Investigating non-response bias in a survey of disablement in the community: implications for survey methodology.

Authors:  A Tennant; E M Badley
Journal:  J Epidemiol Community Health       Date:  1991-09       Impact factor: 3.710

4.  A confidence interval approach to investigating non-response bias and monitoring response to postal questionnaires.

Authors:  A Tennant; E M Badley
Journal:  J Epidemiol Community Health       Date:  1991-03       Impact factor: 3.710

5.  Comparing survey data on functional disability: the impact of some methodological differences.

Authors:  H S Picavet; G A van den Bos
Journal:  J Epidemiol Community Health       Date:  1996-02       Impact factor: 3.710

6.  Quality of life after curative liver resection: a single center analysis.

Authors:  Helge Bruns; Kirsten Krätschmer; Ulf Hinz; Anette Brechtel; Monika Keller; Markus-W Büchler; Peter Schemmer
Journal:  World J Gastroenterol       Date:  2010-05-21       Impact factor: 5.742

7.  Total and cause specific mortality among participants and non-participants of population based health surveys: a comprehensive follow up of 54 372 Finnish men and women.

Authors:  Pekka Jousilahti; Veikko Salomaa; Kari Kuulasmaa; Matti Niemelä; Erkki Vartiainen
Journal:  J Epidemiol Community Health       Date:  2005-04       Impact factor: 3.710

8.  Does non-responder bias have a significant effect on the results in a postal questionnaire study?

Authors:  J T Kotaniemi; J Hassi; M Kataja; E Jönsson; L A Laitinen; A R Sovijärvi; B Lundbäck
Journal:  Eur J Epidemiol       Date:  2001       Impact factor: 8.082

9.  Disablement and care: a comparison of patient views and general practitioner knowledge.

Authors:  D L Patrick; H Peach; I Gregg
Journal:  J R Coll Gen Pract       Date:  1982-07

10.  The impact of non-response bias due to sampling in public health studies: A comparison of voluntary versus mandatory recruitment in a Dutch national survey on adolescent health.

Authors:  Kei Long Cheung; Peter M Ten Klooster; Cees Smit; Hein de Vries; Marcel E Pieterse
Journal:  BMC Public Health       Date:  2017-03-23       Impact factor: 3.295

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