nhejazi
assistant professor of biostatistics at the harvard chan school of public health
Harvard Chan School of Public HealthBoston, Massachusetts
Pinned Repositories
sherlock
R package for causal machine learning for segment discovery and analysis
haldensify
:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
medshift
:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions
ser2021_mediation_workshop
Materials for the workshop "Causal Mediation: Modern Methods for Path Analysis" at the 2021 Society for Epidemiologic Research Meeting
txshift
:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
vim_edc
:black_nib: :page_facing_up: a Vim configuration tragically failing to walk the fine line between convenience and minimalism
hal9001
🤠 📿 The Highly Adaptive Lasso
sl3
💪 🤔 Modern Super Learning with Machine Learning Pipelines
tmle3shift
🎯 :game_die: Targeted Learning of the Causal Effects of Stochastic Interventions
nhejazi's Repositories
nhejazi/talk_h2osl_thw
:speech_balloon: Presentation on "Ensemble (Machine) Learning with Super Learner and H2O in R" for The Hacker Within on 6 December 2016
nhejazi/ph242c-longit-data
:school_satchel: presentation materials for course project for Longitudinal Data Analysis, UC Berkeley
nhejazi/stat215a-journal-review
:bar_chart: UC Berkeley's Statistics 215A (Applied Statistics), Fall 2016: Journal Refereeing Project
nhejazi/template_posters
Template for LaTeX conference posters
nhejazi/astro250-python-computing
:school_satchel: Python for Data Science (Astronomy 250 seminar course at UC Berkeley)
nhejazi/conf_crm2016_compete
:bar_chart: Entry using Super Learner for the causal inference challenge at CRM 2016
nhejazi/good-news
A bit of entertainment for when your head is stuck in a :shell:...
nhejazi/masters_thesis
:black_nib: My master's thesis: "Generalized application of empirical Bayes statistics to asymptotically linear parameters"
nhejazi/neurodevstat
:mag: Curated statistical (re)analysis of publicly available RNA-Seq transcriptome data from a study on human brain development
nhejazi/ph240d-benzene-biomarkers
:school_satchel: course project for Computational Statistics with Applications in Biology and Medicine, UC Berkeley
nhejazi/ph295-targeted-limma
:school_satchel: UC Berkeley's Public Health 295 (Targeted Learning with Biomedical Big Data), Fall 2016, Final Project: the moderated t-statistic with asymptotically linear parameters
nhejazi/python-bootcamp
:school_satchel: docs and lectures for the Python Bootcamp at UC Berkeley
nhejazi/stat159-repro-datasci
:school_satchel: course project for Reproducible and Collaborative Statistical Data Science, UC Berkeley
nhejazi/stat212b-deep-learning
:school_satchel: special topics course on Deep Learning, Dept. of Statistics, UC Berkeley