Literature DB >> 24228679

Important considerations when analyzing health survey data collected using a complex sample design.

Joseph W Sakshaug1, Brady T West.   

Abstract

Researchers often use survey data to answer important public health policy questions. Examples of common data sources used in public health research include the National Health and Nutrition Examination Survey, the National Health Interview Survey, the Medical Expenditure Panel Survey, and the National Ambulatory Medical Care Survey. All these surveys employ a complex sample design to recruit participants into the survey. When performing secondary analyses of complex sample survey data, it is necessary to remind ourselves of the key features of these designs that must be taken into account to produce valid statistical estimates.

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Year:  2013        PMID: 24228679      PMCID: PMC3910048          DOI: 10.2105/AJPH.2013.301515

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  11 in total

1.  Weighted Multilevel Models: A Case Study.

Authors:  Brady T West; Linda Beer; Garrett W Gremel; John Weiser; Christopher H Johnson; Shikha Garg; Jacek Skarbinski
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2.  Impact of Sensory Impairments on Functional Disability in Adults With Arthritis.

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Journal:  Am J Prev Med       Date:  2015-09-26       Impact factor: 5.043

3.  How Big of a Problem is Analytic Error in Secondary Analyses of Survey Data?

Authors:  Brady T West; Joseph W Sakshaug; Guy Alain S Aurelien
Journal:  PLoS One       Date:  2016-06-29       Impact factor: 3.240

4.  Analytic Errors in Analysis of Public Health Survey Data Are Avoidable.

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Journal:  Prev Chronic Dis       Date:  2018-04-12       Impact factor: 2.830

5.  Repeat participation in annual cross-sectional surveys of drug users and its implications for analysis.

Authors:  P A Agius; C K Aitken; C Breen; P M Dietze
Journal:  BMC Res Notes       Date:  2018-06-04

6.  Determinants of prenatal care use and HIV testing during pregnancy: a population-based, cross-sectional study of 7080 women of reproductive age in Mozambique.

Authors:  Sanni Yaya; Olanrewaju Oladimeji; Kelechi Elizabeth Oladimeji; Ghose Bishwajit
Journal:  BMC Pregnancy Childbirth       Date:  2019-10-15       Impact factor: 3.007

7.  Determinants of health insurance ownership in Jordan: a cross-sectional study of population and family health survey 2017-2018.

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8.  Determinants of unmet need for family planning in Gambia & Mozambique: implications for women's health.

Authors:  Sanni Yaya; Ghose Bishwajit; Dina Idriss-Wheeler; Olalekan A Uthman
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9.  Prevalence of institutional delivery and its correlates amongst women of reproductive age in Mozambique: a cross-sectional analysis.

Authors:  Sanni Yaya; Dina Idriss-Wheeler; Gebretsadik Shibre; Agbessi Amouzou; Ghose Bishwajit
Journal:  Reprod Health       Date:  2020-04-16       Impact factor: 3.223

10.  Predictors of institutional delivery service utilization among women of reproductive age in Gambia: a cross-sectional analysis.

Authors:  Sanni Yaya; Ghose Bishwajit
Journal:  BMC Pregnancy Childbirth       Date:  2020-03-30       Impact factor: 3.007

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