Name: Nick Seewald
Type: User
Company: University of Pennsylvania Perelman School of Medicine
Bio: Statistician interested in causal inference and trial design to aid decision-making in health.
Twitter: nickseewald
Location: Philadelphia, PA
Blog: www.nickseewald.com
250fa20-slides
Slides for STATS 250 Labs 106, 108, and 115 in Fall 2020
250wn21-slides
Slides for STATS 250 Lab in Winter 2021
bsa-computing
Resources for BSA Computing Workshops
didsharedctrls
DiD-shared-controls
gettingsmart
introlatexseminar
Materials for a Brown Bag Seminar on introductory LaTeX at the University of Michigan (Biostatistics)
lanyon-slides
A content-first, sliding sidebar theme for Jekyll.
mrt-ss-calculator
An R Shiny Application for Sample Size Calculation in Micro-Randomized Trials
opioid-prescribing-augsynth
Supplementary analysis code for "Effects of state opioid prescribing laws on use of opioid and other pain treatments among commercially insured U.S. adults" (McGinty, et al. 2022)
rackham-dissertation
LaTeX resources for a dissertation adhering to Rackham formatting guidelines at the University of Michigan; adapted from http://www-personal.umich.edu/~dalle/codes/thesis-umich/
rmsmartsize
Companion code for "Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome"
slides
Catch-all repo for slides and other presentation materials for hosting on slides.nickseewald.com
smart-figures
SMART design diagrams made in Office are ugly. These are nicer, and fairly easy to modify.
smartsize
Source code for SMARTsize, an online sample size calculator for SMARTs with end-of-study continuous or binary outcomes.
talk-mneuronet-2022
talk-urmc-2021
Slides for "A Brief Introduction to Multi-Stage Trial Design for Developing Dynamic Treatment Regimens" presented to the Working Group on Clinical Research at the University of Rochester Medical Center
website
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
