Individual participant data (IPD) meta‐analysis is an increasingly used approach for
synthesizing and investigating treatment effect estimates. Over the past few years, numerous …

Statistical models that involve a two-part mixture distribution are applicable in a variety of
situations. Frequently, the two parts are a model for the binary response variable and a …

The only single-source——now completely updated and revised——to offer a unified
treatment of the theory, methodology, and applications of the EM algorithm Complete with …

Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …

This is the first workbook that introduces the multilevel approach to modeling with
categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate …

With the development of next generation sequencing technology, researchers have now
been able to study the microbiome composition using direct sequencing, whose output are …

Interest in multilevel statistical models for social science and public health studies has been
aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving …

This paper proposes a new spatial multivariate count model to jointly analyze the traffic
crash-related counts of pedestrians and bicyclists by injury severity. The modeling …

This paper proposes a reformulation of count models as a special case of generalized
ordered-response models in which a single latent continuous variable is partitioned into …

Background The increased prevalence of diabetes and its significant impact on use of health
care services, particularly hospitals, is a concern for health planners. This paper explores …