pzivich/Delicatessen
Delicatessen: the Python one-stop sandwich (variance) shop 🥪
Assistant Professor working in causal inference, computational epidemiology, and infectious diseases.
Delicatessen: the Python one-stop sandwich (variance) shop 🥪
Epidemiology analysis package
Personal website
Publicly available code from my publications 📝
Collection of my lab group materials for students and trainees
Slides from public presentations
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
A Python library for implementing bridged comparison methods
Collection of public lectures I've given
Various Python 3.x tutorials and resources
Computational epidemiology methods
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
A simple illustration of the sup-t confidence bands with M-estimation
Replications of various publicly available data with zEpid
A simulation study comparing transitive versus bridged treatment comparisons.
General profile info
Implemention of targeted maximum likelihood estimation for network-dependent data
Introduction to Python. Uses the basic 3.x python libraries to tackle a few projects
A recurrent neural network trained via PubMed to generate random abstracts
Copy of the HopkinsIDD/COVID19_Minimal template repository for local
Bracket files
:exclamation: This is a read-only mirror of the CRAN R package repository. tmle — Targeted Maximum Likelihood Estimation. Homepage: https://CRAN.R-project.org/package=tmle
Survival analysis in Python
Official NetworkX source code repository.
Network analysis tools to complement ones already part of NetworkX