Background: Microsimulation models (MSMs), belonging to a class of statistical models that perform simulations at the level of individual units, often persons, have been used …
We present an analysis of hospitalization rates following opioid and non-pharmacologic treatment among Medicare beneficiaries suffering from chronic back pain. Treatment for chronic back pain …
This thesis work is motivated by the specific challenges in analyzing data from behavioral trials. Specifically, SRIDE study designed to increase physical activity. Typically, the …
The gold standard to estimate the causal effect of an exposure on an outcome is a completely randomized design. Randomized designs are attractive for estimating …
Causal mediation analysis is widely applied in the social, economic and biological sciences to assess the causal mechanism between three variables: a treatment, an intermediate …
Two key populations affected by HIV are patients co-infected with Tuberculosis (TB) and children. It is not always advisable to initiate combination antiretroviral therapy (cART) …
Abstract of Comparative Effectiveness of EFA and MFA for Estimation of Alzheimer’s Disease Cognitive Biomarkers , by Joanna Walsh, Sc.M., Brown University, May 2022. Exploratory …
Background. Rituximab-based immunochemotherapy for Waldenström macroglobulinemia / lymphoplasmacytic lymphoma (WM/LPL) showed high response rates in single-arm trials, but comparative data are lacking. We compared overall …
Background: The 16S rRNA amplicon sequencing is a widely-used method for characterizing microbial communities. Recently, a bioinformatics pipeline (Kraken) has been proposed to infer microbiome …
Background: Randomized clinical trials (RCTs) are considered the gold standard approach for assessing the comparative effectiveness of medical interventions. Given the importance of RCTs for …
In data analysis, simultaneously performing multiple hypothesis tests will increase error rates. The multiple testing problem is common across different field of studies including microarray …
Prenatal exposure to organophosphate (OP) insecticides, a widely used class of pesticides, may be associated with increased risk of autistic behaviors. Single nucleotide polymorphisms in …
Current popular algorithms to estimate the effective reproduction number - Rt - are biased at the start of a time series, regardless of prior epidemic …
Social network models have emerged as one of the most popular techniques for the analysis of how people interact. The growing popularity of networks has …
In this dissertation work, I develop novel extensions of two classical techniques for the statistical analysis of dependencies in multivariate time series, namely vector autoregressive …
Difference-in-differences (DiD) approach is one of the most popular causal inference approaches to policy effect evaluation. Employing the counterfactual parallel trends assumption, DiD can provide …
Single cell RNA sequencing (scRNA-seq) is a recently developed technology that enables the quantification of RNA transcripts at individual cell level, providing cellular level resolution …
Unsupervised clustering has emerged as one of the most popular techniques for the analysis of high-dimensional genomic data. The growing popularity of unsupervised clustering within …
There exist many non-oral treatments for osteoporosis such as teriparatide and denosumab. The purpose of this study is to evaluate the causal effect of teriparatide …
Identifying the effects of a set of interventions on an outcome is a primary goal in public health, medicine, and the social sciences. While randomized …
