Giter Club home page Giter Club logo

gonzalez-et-al-2024's Introduction

Statistical Analyses for Manuscript in Review

Risk and Protective Factors Related to Substance Use Among Puerto Rican Youths After Hurricane María (Gonzalez et al., 2024)

Hello! In this repository you will find an HTML file and word document containing the R code and output for our manuscript (currently under review). I hope that by sharing this work, I can help clarify questions readers may have about the statistical methods utilized in our study. Additionally, I hope that sharing this code will make it useful to others who may be conducting similar analyses.

To view the code and output, please download the HTML file linked below and open it in a web browser (e.g., Chrome, Firefox, Safari):

If Microsoft Word is preferred, please download the DOCX file linked below:

Manuscript Authors

Juan Carlos Gonzalez, Ph.D. 1, Daniel K. Feinberg, M.Ed.2, Regan W. Stewart, Ph.D.3, John Young, Ph.D.4, Rosaura Orengo-Aguayo, Ph.D.3

  1. University of California, San Francisco, Department of Psychiatry and Behavioral Sciences, San Francisco, CA
  2. University of California, Santa Barbara, Department of Counseling, Clinical, and School Psychology, Santa Barbara, CA
  3. Medical University of South Carolina, Department of Psychiatry and Behavioral Sciences, Charleston, SC
  4. University of Mississippi, Department of Psychology, University, MS

Please Note

Due to confidentiality requirements, I cannot share the dataset on which the present analyses were performed. However, please feel free to email me at [email protected] if you have any questions about my analyses and how they may apply to your work. Additionally, if you notice errors in my work, I would really appreciate your feedback.

Acknowledgements

Many thanks to the following people and organizations for their support and for allowing me the opportunity to learn from them as I worked on this project:

Of course, I must also acknowledge the debt of gratitude I owe to the many contributors who built and maintain the open source software that was vital to this project. Without their work, these analyses would not have been possible. Many thanks!

gonzalez-et-al-2024's People

Contributors

actions-user avatar daniel-k-feinberg avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.