I created a tutorial on building an online book using the R bookdown package. The tutorial is available on my RPubs page, which is located here.
I plan on creating more tutorials with the bookdown package, so stay tuned.
Building an HTML Presentation using R Markdown - Part 2
This is the second part of a series on how to create HTML presentations using R Markdown.
I posted it on my Rpubs site and my GitHub site.
I plan on writing more tutorials on this subject, so stay tuned.
Tweedie GLM model in R for Cost Data
I wrote a tutorial on using a Tweedie distribution for a GLM gamma model for cost data in R. Unlike Stata, R is very particular with zeroes when constructing GLM models. Hence, I opted to use the Tweedie distribution to mix and match the link function with the Gamma distribution. I settled on the identity link because it doesn’t involve retransformation and is each to interpret.
My tutorial is available on my RPubs site and GitHub site.
Two-part models in R - Application with cost data
I created a tutorial on how to use two-part models in R for cost data. I used the healthcare expenditures from the Medical Expenditure Panel Survey in 2017 as a motivating example. Normally, I use Stata when I construct two-part models. But I wanted to learn how I could do this in R. Fortunately, R has a package called twopartm that was developed by Duan and colleagues. You can find their document for the twopartm package here.
The tutorial I created is located on my GitHub page and RPubs page.
Building an HTML Presentation Using R Markdown
I learned how to construct an HTML presentation using R Markdown. In order to help myself remember how to do this, I began writing a tutorial. I posted the first part of the tutorial on my RPubs page.
I plan to write more tutorials on this subject, so stay tuned.
Interpreting regression models
I wrote a short explanation on how to interpret regression models.
I have posted this on RPubs, and the code is saved on my GitHub site.
MEPS Tutorial - Part 3: Applying survey weights using R
In this tutorial, we will review how survey weights from the Medical Expenditure Panel Survey (MEPS) are applied using R.
The tutorial is available on my GitHub site and RPubs.
The R Markdown code I used to generate this tutorial is available on my GitHub site.
MEPS Tutorial - Part 2: Merging Data with R
MEPS Tutorial - Part 1: Loading Data into R
For the last couple of years, I have used Stata whenever I worked with MEPS data. Stata is a great statistical program that allows me to script and analyze data from complex survey designs similar to MEPS. However, R is another powerful statistical program that researchers have been using to evaluate and analyze MEPS data. R is free/open source and has a large community that constantly builds packages to improve its utility. Because of its advantages, I wanted to start writing tutorials on how to use R to analyze MEPS data.
This first tutorial provides instructions on how to load MEPS data into R, which is a critical step for data analysis.
You can find the tutorial on my RPubs page (link); I also posted this on my GitHub page (link).
For those of you who are interested in how I developed this tutorial, the R Markdown code is located on my GitHub page (link).
In the coming months, I’ll continue to write more tutorials using R with MEPS data, so stay tuned.
ISPOR New Professionals Fireside Chat -- Networking At Conferences
My colleagues, Drs. Sankeet Shah and Koen Degeling, hosted a conversation with Dr. Julia Slejko from the University of Maryland and Dr. Aryana Sepassi from the University of California, Irvine about their experiences and strategies for networking at ISPOR conferences. Dr. Slejko is an Associate Professor of Practice, Science, and Health Outcomes and has a wealth of experiences attending ISPOR conferences. Dr. Aryana Sepassi is an Assistant Professor of Outcomes Research and has just attend her first ISPOR conference in May 2022. Both guest share their unique perspectives on networking at these large conferences and provide suggestions on how to maximize your experience.
You can listen to their conversation on Soundcloud.