Name: Sarah V. Leavitt
Type: User
Company: Boston University
Bio: Biostatistician, teacher, and stay-at-home mom with a passion for infectious disease research and teaching students statistical coding.
Location: Boston
Sarah V. Leavitt's Projects
This repository contains the code used to create a R shiny dashboard displaying the results of virtual bridal shower games during COVID-19.
Teaching repo for seminar on 5/30/19
This repository holds Dataquest Python projects that I used to learn Python
Data and Codebook for the HIT-COVID Project
Code to run simulations of the NB transmission method with reproductive number estimation and applying it to a TB outbreak in Hamburg, Germany (Leavitt et al. 2020, IJE).
Code to run the simulations of using the NB transmission method to estimate the generation/serial interval and applying it to TB surveillance data from Massachusetts (Leavitt et al. ????).
Code to run the simulations of using the naive Bayes to estimate the association between covariates and transmission and applying it to Hamburg TB outbreak and Massachusetts TB surveillance data (Leavitt et al. ????).
Code to simulate outbreak data which were used to develop and assess the NB transmission method.
R package for the naive Bayes (NB) transmission method: estimating relative transmission probabilities, reproductive number, and serial interval.
Code and data to run analyses and produce results for a meta-analysis of disease prognosis (including survival and cure rates) of pre-chemotherapy TB studies.
Code and data to run analyses and produce results for a meta-analysis of pre-chemotherapy TB studies, looking at mortality by time, geography, and treatment location strata.
Code and data to run analyses and produce results for a meta-analysis assessing the difference in TB prognosis by disease severity (including survival and cure rates) using pre-chemotherapy TB studies.