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Correcting for Nonavailability Bias in Surveys by Weighting Based on Number of Callbacks

基于回访次数加权修正调查中的不在场偏差

When respondents to sample surveys differ from nonrespondents, bias can result. Nonresponse is produced by both refusal and nonavailability. Here we concentrate on nonavailability. Clever weighting schemes to deal with nonavailability bias were proposed about 40 years ago by Politz and Simmons and by Simmons, but further theoretical development has been limited. In the meantime, not only have in-person surveys continued to flourish, but telephone surveys also have become…

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“Equivalent Sample Size” and “Equivalent Degrees of Freedom” Refinements for Inference Using Survey Weights under Superpopulation Models

超总体模型下调查加权推断的等效样本量与等效自由度修正

A number of procedures have been proposed to attack different inference problems for data drawn from a survey with a complex sample design (i.e., a design that entails unequal weighting). Most procedures either are based on finite-population assumptions or require the specification of an explicit model using a superpopulation rationale. Herein we propose some relatively simple approximate procedures that are based on a superpopulation model. They provide valid variance…

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Empirical Bayes Procedures for Stabilizing Maps of U.S. Cancer Mortality Rates

稳定美国癌症死亡率地图的经验贝叶斯方法

"The geographic mapping of age-standardized, cause-specific death rates is a powerful tool for identifying possible etiologic factors, because the spatial distribution of mortality risks can be examined for correlations with the spatial distribution of disease-specific risk factors. This article presents a two-stage empirical Bayes procedure for calculating age-standardized cancer death rates, for use in mapping, which are adjusted for the stochasticity of rates in small…

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