Shiny WebApps

Visualization

• COVID-19 and BCG vaccination maps using googleVis

Sample Size calculator

• Stepped Wedge Design (for Binary Outcome)

Teaching by example

1. Marginal structural models (2 time-points, binary outcome) visual demo
2. Marginal structural models (2 time-points) visual demo
3. Inverse probability weights visual demo
4. Propensity scores visual demo

Stata

Simulation algorithm

• genMSM: Stata package for generating survival data suitable for fitting longitudinal Marginal Structural Cox Models

R

Simulation algorithm

• simMSM: R package for generating survival data suitable for fitting longitudinal Marginal Structural Cox Models
• Setoguchi simulation algorithm from 2008 PDS paper

Analysis tool for Causal inference

• iptw: R package for implementing standardization and inverse probability weights (point treatment)

Complex Survey Data Analysis

RMarkdown

• Accessing NHANES Data Directly from CDC website
• rstudio.cloud: Reserved for collaborators and students: authentication required for access.

Kaggle Kernel R Notebooks

1. Accessing NHANES Data Directly from CDC website
2. NHANES Complex Survey Data Analysis
3. NHANES data regression summary
4. Propensity score matching on NHANES

Python

Notebooks

Reserved for collaborators and students: authentication required for access.

• Kaggle Kernel
• Google Colab
• Jupyter for UBC

Web-tutorials

• Tutorial on Bayesian computation using Stan: Youtube
• Tutorial on RMarkdown: Youtube

External helpful resources

The following are not my work, just the resources that I found useful.

• RStudio recourse for learning machine learning
• rsample: General Resampling Infrastructure
• Tidymodels
• Tidy Modeling with R
• RStudio recourse for learning text mining
• Text Mining with R
• Supervised Machine Learning for Text Analysis in R