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hesim-presentations

Presentations related to hesim

hmisc

Harrell Miscellaneous

hsb

Likelihood and Bayesian Inference - Supplementary Material

jbc-turing-rss-testdebiasing

Debiasing targeted testing data

medicalriskpredictionmodels

mlfactor.github.io

Website dedicated to a book on machine learning for factor investing

nu_da_ml_exercise

ontologies-w-python

Source Code for 'Ontologies with Python' by Lamy Jean-Baptiste

open_safely_getting_started

https://docs.opensafely.org/getting-started/

openml-r

R package to interface with OpenML

opensafely_hello_world

OpenSafely Getting Started Guide

pacs_prediction_model

R code & data for manuscript: Cervia, C., Zurbuchen, Y., Taeschler, P. et al. Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome. Nat Commun 13, 446 (2022). https://doi.org/10.1038/s41467-021-27797-1

pinch

One-click fix for Mac trackpad pinch to zoom gesture

purrr-tutorial

Materials for getting to the know the R package purrr

pystan

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

quarto-workshop

rcea

Course materials for learning how to perform applied cost-effectiveness analysis with R

readingpapers

A guide to reading scientific papers

remoteimageview

repurrrsive

Recursive lists to use in teaching and examples, because there is no iris data for lists.

reviews

Writing reviews of academic papers

rmsc

Regression Modeling Strategies Course

rpackages

R package development - the Leek group way!

rsurv

Efficient and flexible random generation of survival times

sand

Statistical Analysis of Network Data with R, 2nd Edition

semver

Semantic Versioning Specification

semver.org

Semantic Versioning spec and website

shiny_complex_data_dashboard

This project consists of a working prototype of a comprehensive dashboard for serving complex data to researchers. The project uses the R language and the Shiny framework. It produces an efficient web-based GUI for querying different facets of the included dataset. The project includes other deployment options. The project’s first phase is exploratory. Its second phase readies and puts the exploratory phase into production. The exploratory phase does the following — Creates a reproducible environment for such an exploratory data project using “renv” dependency management in an isolated project environment; Works with cancer genomic data analyzed with the “maftools” Mutation Annotation Format; Manipulates tabular data with “dplyr” and “tidyr”; Produces standard cancer data diagnostic plots with the “ggplot2” general-purpose plotting library, as well as domain-specific cancer genomics plots with “maftools”. While creating the dashboard for serving complex data to researchers, the project creates an R dashboard package with — The R package development tools “dev tools”; An interactive dashboard web application with “Shiny”; A JavaScript-based library for interactive plots with “Plotly”. The project then deploys an R dashboard application with the framework for building and deploying Shiny apps, “golem”; and other optional deployment versions of the project with Docker.

software

Leek group software

statistical-analysis-with-swift

Source Code