Analysis of data from successive complex sample surveys, with an example of hypertension prevalence from the United States health examination survey

Jean L. Freeman, Daniel H. Freeman, Adrian M. Ostfeld

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

There are a number of ongoing large complex sample surveys focused on health data being undertaken at present. Because of time and cost constraints, these surveys are usually highly stratified multistage cluster samples. The complexity of this design has made the usual simple random sampling assumptions untenable and therefore analyses are rarely more than descriptive in nature with some pairwise comparison using t-tests. Generalized regression procedures using weighted least squares are now available for solving this difficulty by incorporating the sample design into the data analysis through the variances and covariances of the sample estimates. These procedures are extended to the analysis of data from complex surveys conducted at two or more different points in time (successive surveys). The method is illustrated with an example taken from published data of hypertension prevalence estimates from the Health Examination Survey-Cycle I (1960-1962) and the Health and Nutrition Examination Survey (1971-1975).

Original languageEnglish (US)
Pages (from-to)230-237
Number of pages8
JournalInternational Journal of Epidemiology
Volume12
Issue number2
DOIs
StatePublished - Jun 1983
Externally publishedYes

Fingerprint

Sample Survey
Hypertension
Health Surveys
Health
Nutrition Surveys
Least-Squares Analysis
Simple Random Sampling
Nutrition
t-test
Pairwise Comparisons
Weighted Least Squares
Analysis of Variance
Estimate
Data analysis
Costs and Cost Analysis
Regression
Surveys and Questionnaires
Sample survey
Cycle
Sampling

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Physiology (medical)
  • Reproductive Medicine
  • Obstetrics and Gynecology
  • Epidemiology

Cite this

Analysis of data from successive complex sample surveys, with an example of hypertension prevalence from the United States health examination survey. / Freeman, Jean L.; Freeman, Daniel H.; Ostfeld, Adrian M.

In: International Journal of Epidemiology, Vol. 12, No. 2, 06.1983, p. 230-237.

Research output: Contribution to journalArticle

@article{bf73709f1be641efa1ea934cf263df37,
title = "Analysis of data from successive complex sample surveys, with an example of hypertension prevalence from the United States health examination survey",
abstract = "There are a number of ongoing large complex sample surveys focused on health data being undertaken at present. Because of time and cost constraints, these surveys are usually highly stratified multistage cluster samples. The complexity of this design has made the usual simple random sampling assumptions untenable and therefore analyses are rarely more than descriptive in nature with some pairwise comparison using t-tests. Generalized regression procedures using weighted least squares are now available for solving this difficulty by incorporating the sample design into the data analysis through the variances and covariances of the sample estimates. These procedures are extended to the analysis of data from complex surveys conducted at two or more different points in time (successive surveys). The method is illustrated with an example taken from published data of hypertension prevalence estimates from the Health Examination Survey-Cycle I (1960-1962) and the Health and Nutrition Examination Survey (1971-1975).",
author = "Freeman, {Jean L.} and Freeman, {Daniel H.} and Ostfeld, {Adrian M.}",
year = "1983",
month = "6",
doi = "10.1093/ije/12.2.230",
language = "English (US)",
volume = "12",
pages = "230--237",
journal = "International Journal of Epidemiology",
issn = "0300-5771",
publisher = "Oxford University Press",
number = "2",

}

TY - JOUR

T1 - Analysis of data from successive complex sample surveys, with an example of hypertension prevalence from the United States health examination survey

AU - Freeman, Jean L.

AU - Freeman, Daniel H.

AU - Ostfeld, Adrian M.

PY - 1983/6

Y1 - 1983/6

N2 - There are a number of ongoing large complex sample surveys focused on health data being undertaken at present. Because of time and cost constraints, these surveys are usually highly stratified multistage cluster samples. The complexity of this design has made the usual simple random sampling assumptions untenable and therefore analyses are rarely more than descriptive in nature with some pairwise comparison using t-tests. Generalized regression procedures using weighted least squares are now available for solving this difficulty by incorporating the sample design into the data analysis through the variances and covariances of the sample estimates. These procedures are extended to the analysis of data from complex surveys conducted at two or more different points in time (successive surveys). The method is illustrated with an example taken from published data of hypertension prevalence estimates from the Health Examination Survey-Cycle I (1960-1962) and the Health and Nutrition Examination Survey (1971-1975).

AB - There are a number of ongoing large complex sample surveys focused on health data being undertaken at present. Because of time and cost constraints, these surveys are usually highly stratified multistage cluster samples. The complexity of this design has made the usual simple random sampling assumptions untenable and therefore analyses are rarely more than descriptive in nature with some pairwise comparison using t-tests. Generalized regression procedures using weighted least squares are now available for solving this difficulty by incorporating the sample design into the data analysis through the variances and covariances of the sample estimates. These procedures are extended to the analysis of data from complex surveys conducted at two or more different points in time (successive surveys). The method is illustrated with an example taken from published data of hypertension prevalence estimates from the Health Examination Survey-Cycle I (1960-1962) and the Health and Nutrition Examination Survey (1971-1975).

UR - http://www.scopus.com/inward/record.url?scp=0020966305&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0020966305&partnerID=8YFLogxK

U2 - 10.1093/ije/12.2.230

DO - 10.1093/ije/12.2.230

M3 - Article

VL - 12

SP - 230

EP - 237

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

SN - 0300-5771

IS - 2

ER -