MixWILD - Mixed models With Intensive Longitudinal Data

Mix-WILD is statistical software designed to perform multilevel modeling on intensive longitudinal experience sampling data.

View the Project on GitHub reach-lab/MixWildGUI

png

What is this project about?

MixWILD (Also Mixed model analysis with Intensive Longitudinal Data) is a desktop GUI-based application for examining the effects of variance and slope of time-varying variables in intensive longitudinal data, especially the ones collected using ecological momentary assessments.


Citation

MixWILD is a free and open-source tool by and for the behavioral researchers. If you are using MixWILD in your research or data analysis, please read and cite the following paper for more details:

Dzubur, E., Ponnada, A., Nordgren, R., Yang, C. H., Intille, S., Dunton, G., & Hedeker, D. (2020). MixWILD: A program for examining the effects of variance and slope of time-varying variables in intensive longitudinal data. Behavior Research Methods, 1-25.


1. Watch introductory video(s)

2. Download MixWILD for Mac or PC

Please submit your email prior to downloading the application so we can notify you of major software updates

3. Read introductory material

4. Run some basic models on example dataset and ask questions


Contact Us with Questions or Suggestions


Additional Tools Developed by Others


Recent Presentations


Selective papers that use MixWILD


Funding and Team

Agency: National Institutes of Health (NIH)

Institutes: National Heart, Lung, and Blood Institute (NHLBI) and National Cancer Institute (NCI)

Grant Numbers: 5R01HL121330-05 and 1R01CA240713-01

Principal Investigator(s): Hedeker, Donald (University of Chicago); Dunton, Genevieve Fridlund (University of Southern California); Intille, Stephen (Northeastern University)

Team: Rachel Nordgren, Chih-Hsiang “Jason” Yang, Eldin Dzubur, Wei-Lin Wang, Aditya Ponnada, Jixin Li

Research Groups: REACH Lab, University of Southern California and mHealth Research Group, Northeastern University

Listing on NIH RePOERTER:

Logotype credits

Gentium Book Basic by Victor Gaultney and Roboto by Christian Robertson