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

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

Abstract

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Suggested Citation

  • Raghunathan, Trivellore E. & Xie, Dawei & Schenker, Nathaniel & Parsons, Van L. & Davis, William W. & Dodd, Kevin W. & Feuer, Eric J., 2007. "Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 474-486, June.
    • Handle: RePEc:bes:jnlasa:v:102:y:2007:m:june:p:474-486
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    Cited by:

    1. Schmid, Timo & Bruckschen, Fabian & Salvati, Nicola & Zbiranski, Till, 2016. "Constructing socio-demographic indicators for National Statistical Institutes using mobile phone data: Estimating literacy rates in Senegal," Discussion Papers 2016/9, Free University Berlin, School of Business & Economics.
    2. Harding, Lee & Iachan, Ronaldo & Martin, Kelly & Deng, Yangyang & Middleton, Deirdre & Moser, Richard & Blake, Kelly, 2022. "State and regional estimates using seven cycles of pooled nationally representative HINTS data," Social Science & Medicine, Elsevier, vol. 297(C).
    3. Giancarlo Manzi & David J. Spiegelhalter & Rebecca M. Turner & Julian Flowers & Simon G. Thompson, 2011. "Modelling bias in combining small area prevalence estimates from multiple surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 31-50, January.
    4. repec:bla:jorssa:v:180:y:2017:i:4:p:1163-1190 is not listed on IDEAS
    5. Jae Kwang Kim & Zhonglei Wang & Zhengyuan Zhu & Nathan B. Cruze, 2018. "Combining Survey and Non-survey Data for Improved Sub-area Prediction Using a Multi-level Model," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(2), pages 175-189, June.
    6. Andrew Lawson & Anna Schritz & Luis Villarroel & Gloria A. Aguayo, 2020. "Multi-Scale Multivariate Models for Small Area Health Survey Data: A Chilean Example," IJERPH, MDPI, vol. 17(5), pages 1-20, March.
    7. Andreea Erciulescu & Jianzhu Li & Tom Krenzke & Machell Town, 2024. "Hierarchical Bayes small area estimation for county-level health prevalence to having a personal doctor," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(4), pages 1171-1191, September.
    8. Patrick M. Joyce & Donald Malec & Roderick J. A. Little & Aaron Gilary & Alfredo Navarro & Mark E. Asiala, 2014. "Statistical Modeling Methodology for the Voting Rights Act Section 203 Language Assistance Determinations," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 36-47, March.
    9. Sheyla Rodrigues Cassy & Samuel Manda & Filipe Marques & Maria do Rosário Oliveira Martins, 2022. "Accounting for Sampling Weights in the Analysis of Spatial Distributions of Disease Using Health Survey Data, with an Application to Mapping Child Health in Malawi and Mozambique," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    10. Frauke Kreuter, 2013. "Facing the Nonresponse Challenge," The ANNALS of the American Academy of Political and Social Science, , vol. 645(1), pages 23-35, January.
    11. Christopher K. Wikle & Scott H. Holan, 2015. "Comment," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 901-903, September.
    12. Takis Merkouris, 2010. "Combining information from multiple surveys by using regression for efficient small domain estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(1), pages 27-48, January.
    13. Kevin Watjou & Christel Faes & Yannick Vandendijck, 2020. "Spatial Modelling to Inform Public Health Based on Health Surveys: Impact of Unsampled Areas at Lower Geographical Scale," IJERPH, MDPI, vol. 17(3), pages 1-19, January.
    14. Camilla Salvatore, 2023. "Inference with non-probability samples and survey data integration: a science mapping study," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 83-107, April.

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