Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening

DOI10.1198/016214506000001293zbMath1172.62334OpenAlexW1974132136MaRDI QIDQ5307649

Dawei Xie, Eric J. Feuer, Van L. Parsons, William W. Davis, Kevin W. Dodd, Nathaniel Schenker, Trivellore E. Raghunathan

Publication date: 18 September 2007

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1057&context=umichbiostat

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Sampling theory, sample surveys (62D05) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (13)

Combining multiple imperfect data sources for small area estimation: a Bayesian model of provincial fertility rates in Cambodia ⋮ Bayesian methods for dealing with missing data problems ⋮ Statistical data integration using multilevel models to predict employee compensation ⋮ Towards a Routine External Evaluation Protocol for Small Area Estimation ⋮ Localised Estimates of Dynamics of Multi‐dimensional Disadvantage: An Application of the Small Area Estimation Technique Using Australian Survey and Census Data ⋮ Combining Data from New and Traditional Sources in Population Surveys ⋮ Inference with non-probability samples and survey data integration: a science mapping study ⋮ Discussion of ``Bayesian models and methods in public policy and government settings by S.E. Fienberg ⋮ Impact of frequentist and Bayesian methods on survey sampling practice: a selective appraisal ⋮ A Bayesian approach to estimating agricultural yield based on multiple repeated surveys ⋮ A bridging model to reconcile statistics based on data from multiple surveys ⋮ Combining survey and non-survey data for improved sub-area prediction using a multi-level model ⋮ Blending domain estimates from two victimization surveys with possible bias

This page was built for publication: Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening