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.Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
Las técnicas y herramientas cubiertas en Dealing With Missing Data son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
Dealing With Missing Data is a part of uno structured learning path.
7 Courses
8 Months
Survey Data Collection and Analytics
