Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

This article reviews unit nonresponse in cross-sectional household surveys, the
consequences of the nonresponse on the bias of the estimates, and methods of adjusting for …

In longitudinal studies it is often of interest to investigate how a marker that is repeatedly
measured in time is associated with a time to an event of interest, eg, prostate cancer studies …

Missing data affect nearly every discipline by complicating the statistical analysis of collected
data. But since the 1990s, there have been important developments in the statistical …

The K-means algorithm is one of the most popular clustering algorithms in current use as it is
relatively fast yet simple to understand and deploy in practice. Nevertheless, its use entails …

Objective Non-response is unavoidable in longitudinal surveys. The consequences are
lower statistical power and the potential for bias. We implemented a systematic data-driven …

Due to recent theoretical findings and advances in statistical computing, there has been a
rapid development of techniques and applications in the area of missing data analysis …

Objectives: Missing data is a recurrent issue in many fields of medical research, particularly
in questionnaires. The aim of this article is to describe and compare six conceptually …

Proper analysis and reporting of incomplete data continues to be a challenging task for
practitioners from various research areas. Recently Nguyen, Strazdins, Nicholson and …

Multiple imputation is a well-established general technique for analyzing data with missing
values. A convenient way to implement multiple imputation is sequential regression multiple …