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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. |
URL | https://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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
logisticpropen.pdf(139KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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