Fan Bu's repositories
HIV-transmission-PoissonProcess
Code for latent spatial Poisson process model of HIV transmission structure
algorithm-practice
My python code for practicing basic algorithms
BO-presentation
lab meeting slides on Bayesian optimization
C_Coursera_Scripts
My practice scripts for C course on Coursera
causal-inference-hw
Homework backup for STA640 causal inference
CoEpiNet
Inference for epidemics on adaptive networks
CohortMethod
An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.
DukeStatSciBootcamp2018
This is the slide deck for the 2018 math bootcamp for the incoming Statistical Science Masters and PhD students at Duke University
EmpiricalCalibration
An R package for performing empirical calibration of observational study estimates
Epidemic-NPI_simulation
R Shiny App for Non-pharmaceutical interventions simulation for disease control
EpiNetHetero
Code repository for "likelihood-based inference for partially observed epidemics with individual heterogeneity"
EpiNetSupplement
Supplementary Material for EpiNet paper
Eumaeus
Evaluating Use of Methods for Adverse Event Under Surveillance (for vaccines)
EvidenceSynthesis
An R package for combining evidence from multiple sources (e.g. multiple data sites)
fanbu-stats.github.io
re-model website using a simpler theme
fanbu1995.github.io
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
HIV-transmission-flow-sample
Code sample for the HIV transmission flow project
HIV_transmission_flow
Python code for HIV transmission flow model
HIV_transmission_flow_R
R files for data processing in the HIV transmission flow study
LegendHtnTrueMonotherapy
Run Legend Hypertension Monotherapy (with configuration)
LegendT2dm
fan's copy of legend diabetes study package
LegendT2dmEvidenceExplorer
LEGEND-T2DM Evidence Explorer
ODE_inference
Parameter estimation for ODE-based dynamical models
ShinyDeploy
Shiny apps in this repository will be automatically deployed to the OHDSI Shiny server.
time_to_rebound
R/Python code for post-ART rebound time analysis (summer 2020)