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描述

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R, Stata, and SAS.阅读更多.

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按照数据工作岗位排列职业相关性

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相似度得分(满分 100)

学习顺序

Dealing With Missing Data is a part of 一 structured learning path.

Coursera
University of Michigan