Nicholas Williams (nt-williams)

nt-williams

Geek Repo

Company:Columbia University

Home Page:https://www.nicholastwilliams.com

Twitter:@nickWillyamz

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Nicholas Williams's repositories

lmtp

:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

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rxnorm

R interface to NLM RxNorm API to get drug names and class based on RxCUI

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adjrct

Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions :pill:

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lcmmtp

Longitudinal Mediation with Modified Treatment Policies

codebreak

A light weight codebook framework for R

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mlr3superlearner

Super learner fitting and prediction using mlr3

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simul

:package: Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap :books: :crystal_ball: :satellite:

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lmtp-workshop

Workshop for LMTP at SER 2024

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doesNPMatter

Simulations for "Does Nonparametric Matter?" paper. :computer:

advent-of-code

Advent of Code

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HDmediation

Efficient, doubly-robust--and possibly transported--estimation of interventional (in)direct effects with high-dimensional mediators and mediator-outcome confounders.

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lcm

Efficient and flexible causal mediation with longitudinal mediators, treatments, and confounders

lmtp-simulations

Code used for the simulation study in the paper "Non-parametric casual effects based on longitudinal modified treatment policies."

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covid-RCT-covar

Simulation study evaluating what variables should be included as covariates in analyses for COVID-19 RCTs

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medoutcon

:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects

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aoc2021

Advent of Code 2021 in Julia

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broom

Convert statistical analysis objects from R into tidy format

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custom-SL

Custom SuperLearner wrappers

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cv

CV in latex adapted from Dr. Geoff Boeing.

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dcme

Mediation Effects with 2 Instrumental Variables

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mlr3extralearners

Extra learners for use in mlr3.

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nt-williams

Hello, World ;-)

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WhatIf.jl

Code examples of "Causal Inference: What If" in Julia

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