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causal-inference-books

Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info such as mini reviews of some of the books in the flowchart.

causal-mediation-analysis-of-exact-and-sarah-trials

causal_inference_py

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal_salad_2021

One day course on causal inference, MPI-EVA 9 September 2021

causalgraphs_latex

Drawing graphical models for causal inference using LaTeX

causalsurvivalanalysisworkshop

dagitty

Graphical analysis of structural causal models / graphical causal models.

diong_et_al_2022_discoveduc

Face-to-face vs online learning: a causal inference approach

diong_et_al_2022_msp

Data and code for eccentric exercise systematic review

diong_et_al_2023_plosone

Journal Instructions to Authors

diong_et_el_2022_plosone

Muscle electromyographic activity normalized to maximal muscle activity

eur_j_appl_physiol_letter_2020

Data and code for letter to the Editor published in Eur J Appl Physiol

kishimoto_et_al_2021_jap

Muscle EMG and voluntary activation

monte_carlo_simulation-tutorials

This repository provides Stata and R code for two tutorials for using Monte Carlo simulations for quantitative bias analysis

ong_et_al_2023_ripr

Australian university codes of research conduct

papermate

A Python package to help researchers and academics write papers using Markdown

pliffy

Plotting differences with Python

project_template

Generate folders and files for a scientific project

python-for-epidemiologists

Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3

resources

PyMC3 educational resources

scand_j_pain_exppain_2019

Data and code to generate Fig 3, for paper published in Scand J Pain

scientificallysound_files

Supplementary files for Scientifically Sound blog

spike2-batch-export-to-matlab

spike2py

spike2py provides a simple interface to analyse and visualise data

stochatreat

This is a Python tool to employ stratified sampling or treatment randomization with uneven numbers in some strata using pandas. Mainly thought with RCTs in mind, it also works for any other scenario in where you would like to randomly allocate treatment within blocks or strata. The tool also supports having multiple treatments with different probability of assignment within each block or stratum.

tableone

Create "Table 1" for research papers in Python

time-varying-positivity

tutorialcomputationalcausalinferenceestimators

Tutorial_Computational_Causal_Inference_Estimators

zepid

Epidemiology analysis package