Wear patterns have long provided important indicators to help keep us safe. For example, checking out the wear pattern of your car tire’s tread can help you determine whether your tires are over ...

Missing data have seriously compromised inferences from clinical trials, yet the topic has received little attention in the clinical-trial community. 1 Existing regulatory guidances 2–4 on the ...

Appendix Table A1 provides a summary of the missing data patterns and thus shows a total missing data fraction of 23.6%. For these data, it is reasonable to conjecture that mood score is missing ...

Viewing biased clinical data as artifacts can identify values, practices, and patterns of inequity in medicine and health care. Examining clinical data as artifacts can also provide alternatives ...

Freyberger, Höppner, Neuhierl, and Weber’s method fills in the blanks by first grouping observations with similar patterns of missing data and then taking the ones with complete data to estimate the ...

International organizations collect data from national authorities to create multivariate cross-sectional time series for their analyses. As data from countries with not yet well-established ...

With advances in high-throughput single-nucleotide polymorphism (SNP) genotyping, the amount of genotype data available for genetic studies is steadily increasing, and with it comes new abilities ...

Joseph G. Ibrahim, Ming-Hui Chen, Stuart R. Lipsitz, Missing Responses in Generalised Linear Mixed Models When the Missing Data Mechanism is Nonignorable ... We propose a method for estimating ...