keithlohse Goto Github PK
Name: Keith Lohse
Type: User
Company: Washington University School of Medicine in Saint Louis
Location: Saint Louis, MO
Name: Keith Lohse
Type: User
Company: Washington University School of Medicine in Saint Louis
Location: Saint Louis, MO
Altitude Fitness Dataset
Materials for sharing the American Society for Neurorehabilitation Conference.
A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.
Category Learning Experiment and Simulations
Definition and DDLs for the OMOP Common Data Model (CDM)
Tutorial for developmental data with spectral parameterization.
Motor learning study in which participants had self-control of difficulty during practice. The study is devided into analyses focus on learning and analyses focused on participants behavior during practice.
Meta-analysis of dose and timing of stroke rehabilitation based on the SCOAR database
Parameterizing neural power spectra.
Deidentified data and analysis scripts for Gait & VR study
Resources for teaching fundamentals of statistics using the general linear model.
Code for processing raw Actigraph accelerometry data. Scripts correspond to the processed data archived on NICHD DASH "Harmonized Upper and Lower Limb Accelerometry Data" (https://dash.nichd.nih.gov).
Examining confidence intervals in abstracts
Linear Mixed Effect Regression for Clinical Scientists
Comparison of linear mixed-effect regression to repeated-measures analysis of variance for dealing with longitudinal data
Resources for creating mixed-effects models as analogues for ANOVA and for truly longitudinal models.
Single trial analyses of Anticipatory Postutural Adjustments in participants with Parkinson's disease.
Data and code for pediatric motor learning studies exploring reinforment and error-based learning.
How many participants are required to reliably detect a difference between male and female weights?
Effects of reliability on statistical power for simple designs
Various statistical power simulations that I have written.
Processing and analysis of proteomics data
Python Essential Training
Python Implementation of Reinforcement Learning: An Introduction
R programming exercises for learners enrolled in ReproRehab
Keith personal copy of reprorehab2022
Within-subject mediation using LMER
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 is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.