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来源类型Publication
Logistic Propensity Models to Adjust for Nonresponse in Physician Surveys
Nuria Diaz-Tena; Frank Potter; Michael Sinclair,; Stephen Williams
发表日期2002-08-30
出版者Princeton, NJ: Mathematica Policy Research
出版年2002
语种英语
概述Looks at the advantages of using a different number of weighting cells or propensity scores to adjust for nonresponse in the Community Tracking Study physician survey. ",
摘要Looks at the advantages of using a different number of weighting cells or propensity scores to adjust for nonresponse in the Community Tracking Study physician survey. Finds a large difference between the two methods in their ability to reduce bias and produce variation in weights.
URLhttps://www.mathematica.org/our-publications-and-findings/publications/logistic-propensity-models-to-adjust-for-nonresponse-in-physician-surveys
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/484924
推荐引用方式
GB/T 7714
Nuria Diaz-Tena,Frank Potter,Michael Sinclair,,et al. Logistic Propensity Models to Adjust for Nonresponse in Physician Surveys. 2002.
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