The English verb “to impute” comes from the Latin imputo, which means to reckon, attribute,
make account of, charge, ascribe. In the Bible, the word “impute” is a translation of the …

In the United States, the modern survey sampling revolution began largely at the US Census
Bureau. The process, so the story goes,“took off” in the late 1930s when Jerzy Neyman, at …

Multiple imputation for nonresponse in public-use files replaces each missing value by two
or more plausible values. The values can be chosen to represent both uncertainty about …

Empirical data are seldom completely observed. How to adequately analyse data sets
affected by missing values is usually not the focus of courses at bachelor or master level …

Multiple imputation provides a useful strategy for dealing with data sets with missing values.
Instead of filling in a single value for each missing value, Rubin's (1987) multiple imputation …

The method of multiple imputation (MI) is used increasingly for analyzing datasets with
missing observations. Two sets of tasks are required in order to implement the method:(a) …

Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to
analyzing partially observed data In this comprehensively revised Second Edition of Multiple …

Multiple imputation (MI) is known as an effective method for handling missing data.
However, it is not clear that the method will be effective when the data contain a high …

Educational researchers have become increasingly aware of the problems and biases
which can be caused by missing data. Significant advances have been made in the last 15 …

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or
mean imputation, only work under highly restrictive conditions, which are often not met in …