Complex Sampling
Implications for Data Analysis
Bibliographic Data
| ID | 13583764 |
|---|---|
| Authors | Daniel J Caplan (University of North Carolina at Chapel Hill, corresponding author), Gary D Slade (0000-0002-4065-6341), Stuart A Gansky (0000-0003-3147-0884, University of California, San Francisco) |
| Year | 1999 |
| Volume | 59 |
| Issue | 1 |
| Pages | 52-59 |
| Publication date | 1999-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Public Health Dentistry (JOURNAL) |
| Journal identifiers | ISSN: 0022-4006 • E-ISSN: 1752-7325 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1752-7325.1999.tb03235.x |
| PMID | 11396045 |
| OpenAlex | W2036109429 |
| Language | EN |
| Citations received | 4 |
| References cited | 20 |
Investigators in dental public health often use strategies other than simple random sampling to identify potential subjects; however, their statistical analyses do not always take into account the complex sampling mechanism. Often it is not clear whether a given strategy requires adjustment for stratification and/or cluster sampling of observations. We propose that the need for such adjustment depends on the primary study objective. As a general rule, we recommend that if the study goal is to estimate the magnitude of either a population value of interest (e.g., prevalence), or an established exposure-outcome association, adjustment of variances to reflect complex sampling is essential because obtaining appropriate variance estimates is a priority. However, if the study goal is to establish the presence of an association, especially in a preliminary investigation of novel conditions or understudied populations, obtaining appropriate variance estimates may not be of primary importance; hence, adjustment of variances for complex sampling is not always required, but often is recommended. This paper describes several types of complex sampling designs, methods of adjusting for complex sampling strategies, examples illustrating the effect of adjustment, and alternative approaches for analysis of complex samples
Cluster sampling · Data mining · Econometrics · Environmental health · Population · Sample size determination · Sampling (signal processing · Sampling design · Simple random sample · Statistics · Stratified sampling · Variance (accounting · Computer Science · Dental Radiography and Imaging · Mathematics · Medicine · Oral microbiology and periodontitis research · Reliability and Agreement in Measurement
Model Assisted Survey Sampling
Usefulness of a Local Oral Health Survey in Program Development
Dental Caries in Homeless Adults in Boston
Dental Caries and Dental Fluorosis Among Schoolchildren Who Were Lifelong Residents of Communities Having Either Low or Optimal Levels of Fluoride in Drinking Water
Factors Related to Loss of Root Canal Filled Teeth
Epidemiologic studies utilizing surveys
| Citations per year | 0.16 |
|---|---|
| Citation span | 2001 - 2020 (20) |
| Highly cited | No |