About me

I am currently an associate professor in the Department of Epidemiology and Biostatistics at the Saint Louis University College for Public Health and Social Justice. I also serve as director for the college’s Doctoral Program in Public Health Studies.

I have a special interest in statistics education and literacy, both for future statisticians and other data analysts as well as the general public. My research interests include causal inference and model-based adjustments for confounding, selection, and non-response biases, as well as estimating variation in treatment effects. I have published in fields such as statistical methodology, public health, health care, social work, criminal justice, and communication disorders.

Research profiles:
Google Scholar | ORCID | ResearchGate


Teaching Resources

Using R in Intro Stats: An approachable guide for intro stat students using R for the first time. [Link to PDF]

Brief methods: Short handouts on statistical methods, including reasoning and R code example. Only introductory methods at this point.

Shiny apps: Shiny apps to help explain statistical concepts.

R Packages

tldr [GitHub | CRAN] Functions to help with data exploration and RMarkdown reporting.

paramhetero [GitHub | CRAN] Statistical tests and visual comparisons of coefficients and residual variance across multiple regression models.

PropScrRand [GitHub | CRAN] Methods for randomly assigning study participants to treatment groups using propensity scores to help ensure balance. Technical details here and here.

Travis Loux


About me

I am currently an associate professor in the Department of Epidemiology and Biostatistics at the Saint Louis University College for Public Health and Social Justice. I also serve as director for the college’s Doctoral Program in Public Health Studies.

I have a special interest in statistics education and literacy, both for future statisticians and other data analysts as well as the general public. My research interests include causal inference and model-based adjustments for confounding, selection, and non-response biases, as well as estimating variation in treatment effects. I have published in fields such as statistical methodology, public health, health care, social work, criminal justice, and communication disorders.

Research profiles:
Google Scholar | ORCID | ResearchGate


Teaching Resources

Using R in Intro Stats: An approachable guide for intro stat students using R for the first time. [Link to PDF]

Brief methods: Short handouts on statistical methods, including reasoning and R code example. Only introductory methods at this point.

Shiny apps: Shiny apps to help explain statistical concepts.

R Packages

tldr [GitHub | CRAN] Functions to help with data exploration and RMarkdown reporting.

paramhetero [GitHub | CRAN] Statistical tests and visual comparisons of coefficients and residual variance across multiple regression models.

PropScrRand [GitHub | CRAN] Methods for randomly assigning study participants to treatment groups using propensity scores to help ensure balance. Technical details here and here.