在大数据时代和调查成本攀升的背景下，非概率样本(Non-probability samples)的广泛应用面临选择偏差和不可忽略缺失(Nonignorable missingness)的双重挑战。来自国内的研究团队创新性地提出非线性超总体模型(Nonlinear superpopulation model)推断方法，通过建立响应概率估计框架 ...

Empirical probability uses the number of occurrences of an outcome within a sample set as a basis for determining the ...

Survey mode effects linked to unit nonresponse and screening procedures were estimated in a study of self-reported tobacco, alcohol, and illicit drug use. Two samples of the same population were drawn ...

1. Distinguish between probability and non-probability sampling and discuss the advantages and disadvantages of each. If you can not specify the probability that any given individual will be in the ...

Statistics are often estimated from a sample rather than from the entire population. If the inclusion probability of the sample is unknown to the researcher, that is, a nonprobability sample, naively ...

Non-probability samples provide a challenging source of information for official statistics, because the data generating mechanism is unknown. Making inference from such samples therefore requires a ...

Mark Blumenthal and Natalie Jackson of Huffpost Pollster write: If you read polls in the news, you’re probably familiar with the term “margin of error.” What ...