Now showing items 301-310 of 324
Severe Illness Associated With Respiratory Viruses: Burden and Temporal Dynamics
(2020)
Acute lower respiratory tract infections (ALRI) are a substantial source of global morbidity and mortality, particularly among young children. Respiratory syncytial virus (RSV) and influenza are consistently observed to ...
Semiparametric Estimation Methods for Survival and Biomarker Data
(2021)
In many clinical studies, the outcome of interest is an event time. In addition, longitudinal data on biomarkers may be collected, and such information may provide insight into underlying disease risk or severity. The goal ...
Dynamic Methods for the Prediction of Survival Outcomes using Longitudinal Biomarkers
(2018)
In medical research, predicting the probability of a time-to-event outcome is often of interest. Along with failure time data, we may longitudinally observe disease markers that can influence survival. These time-dependent ...
Statistical Methods in Population Genetics for Next-Generation Sequencing Data
(2016)
The increasing number of large-scale sequencing studies has provided unprecedented access to rare genetic variation. Rare variants are often population specific and arose recently, giving unique insight into recent population ...
Identifying Novel Targetable Genes and Pathways in Cancer by Integrating Diverse Omics Data.
(2014)
Omics technologies for high-throughput profiling of human genome, transcriptome and proteome are revolutionizing cancer research and driving a paradigm shift in clinical care, from “one size” fits all treatments to molecularly ...
Improved Methods for Evaluating Noise Exposure and Hearing Loss
(2017)
Noise is one of the most common occupational exposures in the United States; up to 22 million workers are exposed to dangerous noise levels each year. Excessive noise exposure can lead to noise-induced hearing loss (NIHL). ...
Using Mathematical Models to Understand Causal Mechanisms Underlying Counterintuitive Epidemiological Data
(2019)
Analyzing epidemiological data (e.g., from observational studies or surveillance) can reveal results contrary to what might be expected given a priori knowledge about the study question. In these cases, a clear mechanistic ...
Statistical and Computational Methods for Genome-Wide Association Analysis
(2018)
Technological and scientific advances in recent years have revolutionized genomics. For example, decreases in whole genome sequencing (WGS) costs have enabled larger WGS studies as well as larger imputation reference panels, ...
Renewable Estimation and Incremental Inference with Streaming Health Datasets
(2020)
The overarching objective of my dissertation is to develop a new methodology that allows to sequentially update parameter estimates and their standard errors along with data streams. The key technical novelty pertains to ...
Injury, Infection, and Recovery from Opioid Use Disorders in Michigan
(2018)
The opioid crisis is an ongoing serious public health challenge in the United States. Starting in the late 1990s, increases in prescriptions for opioid pharmaceuticals led to increases in nonmedical prescription opioid use ...