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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Dealing With Missing Data 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
Dealing With Missing Data is a part of 一 structured learning path.
7 Courses
8 Months
Survey Data Collection and Analytics
