In multisite trials, researchers are often interested in several inferential goals: estimating
treatment effects for each site, ranking these effects, and studying their distribution. This …

Statistical analyses that investigate risk factors for Alzheimer's disease (AD) are often subject
to a number of challenges. Some of these challenges arise due to practical considerations …

Rating procedure is crucial in many applied fields (eg, educational, clinical, emergency). It
implies that a rater (eg, teacher, doctor) rates a subject (eg, student, doctor) on a rating …

There are many models in the current statistical literature for making inferences based on
samples selected from a finite population. Parametric models may be problematic because …

In semi-competing risks, the occurrence of some non-terminal event is subject to a terminal
event, usually death. While existing methods for semi-competing risks data analysis assume …

Although not without controversy, readmission is entrenched as a hospital quality metric with
statistical analyses generally based on fitting a logistic-Normal generalized linear mixed …

Date Prepared: 6/7/2024 Lorenzo Trippa Professor Work Address: 3 Blackfan Circle, 11th
Floor, Boston, MA 02215 Email: ltrippa@ds Page 1 1 Date Prepared: 6/7/2024 Lorenzo Trippa …

The paper presents an empirical study of multidimensional visualization techniques. The
study is motivated by the problem of decision making in PACS (Picture Archiving and …

This dissertation examined the performance of the Dirichlet process mixture linear model
(DPMLM) using simulated and real data from US state-level trade and energy sectors …

We consider a two-stage unit-level model for small areas with continuous survey responses.
Typically survey data have responses with outliers, gaps and ties, and the distributions of the …