## Events Search and Views Navigation

## December 2020

## February 2021

### R Markdown Basics

R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites. This seminar covers basic coding and conventions of the 3 frameworks upon which R Markdown depends: Markdown for formatting text, knitr for R code chunks, and YAML…

Find out more »### Retiring Statistical Significance: Interpreting and Reporting P-Values and Confidence Intervals Without Significance Testing

The misuse of null hypothesis significance testing (NHST) and p-value thresholds, together with selective reporting of statistically significant results, have produced an inundation of overstated conclusions and unreplicable results in scientific research. Many of these abuses come from misunderstandings of how to interpret p-values, confidence intervals, the words “statistical significance”, and the uncertainty in a statistical result. The misuse is so widespread that the American Statistical Association is calling for the retirement of NHST and the words “statistical significance”. In…

Find out more »### Remote consulting closed

Remote consulting is closed in honor of Presidents' Day.

Find out more »## March 2021

### Multiple Imputation in R

The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, we will focus on the one of the most popular methods, multiple imputation, and how to perform it using the package mice in R. We will also briefly go over some other useful packages in R for handling missing data. As prerequisite to this workshop, we suggest participants have basic knowledge in…

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