4 results match your criteria: "Indiana University Fairbanks School of Public Health and Indiana University School of Medicine[Affiliation]"

Estimation of nonlinear curves and surfaces has long been the focus of semiparametric and nonparametric regression analysis. What has been less studied is the comparison of nonlinear functions. In lower-dimensional situations, inference typically involves comparisons of curves and surfaces.

View Article and Find Full Text PDF

Why do clinicians order inappropriate Clostridium difficile testing? An exploratory study.

Am J Infect Control

March 2019

Division of Infectious Diseases, Indiana University School of Medicine, Indiana University Health, Indianapolis, IN.

Background: The drivers behind Clostridium difficile testing are not well understood.

Methods: C difficile testing orders were reviewed. An algorithm that sequentially considered the presence of diarrhea, leukocytosis, fever, and laxative use was created.

View Article and Find Full Text PDF

A comparison of multiple testing adjustment methods with block-correlation positively-dependent tests.

PLoS One

September 2017

Department of Mathematics and Statistics, Utah State University, 3900 Old Main Hill, Logan, UT 84322-3900, United States of America.

In high dimensional data analysis (such as gene expression, spatial epidemiology, or brain imaging studies), we often test thousands or more hypotheses simultaneously. As the number of tests increases, the chance of observing some statistically significant tests is very high even when all null hypotheses are true. Consequently, we could reach incorrect conclusions regarding the hypotheses.

View Article and Find Full Text PDF

There is growing consensus that intervention and treatment of Huntington disease (HD) should occur at the earliest stage possible. Various early-intervention methods for this fatal neurodegenerative disease have been identified, but preventive clinical trials for HD are limited by a lack of knowledge of the natural history of the disease and a dearth of appropriate outcome measures. Objectives of the current study are to document the natural history of premanifest HD progression in the largest cohort ever studied and to develop a battery of imaging and clinical markers of premanifest HD progression that can be used as outcome measures in preventive clinical trials.

View Article and Find Full Text PDF