Model-Assisted Estimation for Domains

Basic Sampling Techniques

More Detailed Case Studies

Multivariate Survey Analysis

Handling Nonsampling Errors

Statistics in Practice

Systematic handling of missing data in complex study designs : experiences from the Health 2000 and 2011 Surveys

We present a systematic approach to the practical and comprehensive handling of missing data motivated by our experiences of analyzing longitudinal survey data. We consider the Health 2000 and 2011 Surveys (BRIF8901) where increased non-response and non-participation from 2000 to 2011 was a major issue. The model assumptions involved in the complex sampling design, repeated measurements design, non-participation mechanisms and associations are presented graphically using methodology previously defined as a causal model with design, i.e. a functional causal model extended with the study design. This tool forces the statistician to make the study design and the missing-data mechanism explicit…

Further Use of Auxiliary Information

Linearization and Sample Reuse in Variance Estimation

Analysis of One-Way and Two-Way Tables