Three categories of meta-analysis methods can be used to summarize diagnostic accuracy measures (FPF, TPF) of a single test across studies: the bivariate normal model, …
Development and implementation of machine and deep learning models has grown massively with increased availability of large datasets and improved computing capabilities. Despite this huge …
Pathway analysis aims to identify the association between groups of genomic units and the phenotype of interest, driven by genomic data. A myriad of statistical …
Probabilistic record linkage is a process to identify records in two separate datasets that represent the same entity in the absence of unique identifiers. Bayesian …
Background: Early identification of infants with severe Bronchopulmonary dysplasia (sBPD) that will require tracheostomy may be beneficial, as earlier placement may aid with growth, participation …
To help healthcare professionals be better prepared for spikes in cases, it would be beneficial for public health officials to develop intervention plans based on …
Prediction of Acute Kidney Injury in Hospitalized COVID-19 Patients Using Machine Learning, by David Carbonello, ScM., Brown University, May 2021 Many studies provide evidence that …
This study aims to investigate predictive power of resting-state functional magnetic resonance imaging (fMRI) data for behavior. To this end, we implement and compare multiple …
Principal manifolds are used to represent high-dimensional data in a low-dimensional space. They are higher dimensional generalizations of principal curves and surfaces. The existing methods …
The objective of this dissertation is to develop methods for statistical record linkage that are more robust when identifying information is limited or recorded with …
Background: Best subset selection for sparse linear regression is a classical statistical problem that has received renewed attention following a new approach to directly solve …
DNA Microarrays have become an indispensable technique inbiomedical research. The raw measurements from microarrays undergo anumber of preprocessing steps before the data are converted to …
We conducted a secondary data analysis of PECARN (The Pediatric Emergency Care Applied Research Network) traumatic brain injury in children dataset. To keep more information …
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (STBs) rely on ICD-9/10-CM diagnosis codes. Electronic health record (EHR) data are being …
Single proportions and rates such as adverse event rate and disease incidence are commonly reported in biomedical and epidemiological studies. These statistics are also more …
There are a variety of medications used to control the symptoms of inflammatory bowel disease (IBD). Adherence early in disease course to two commonly prescribed …
Correlation analysis between time series from two regions of interest is popular in the functional magnetic resonance imaging (fMRI) studies. The most widely used approach …
Understanding the activation pattern and the functional network of the brain under experimental conditions or resting-state is fundamental to brain research, which has been shown …
