Improve Research Reproducibility A Bio-protocol resource
- Home
- Protocols
-
Ask a
question
Favorite
For all multivariable models, continuous predictor variables were categorized to avoid the linearity assumption, interactions were tested for significance, and variables were screened for multicollinearity. All analyses are done using complete case analysis, and goodness of fit was assessed using area under the curve (AUC) of the final model. All statistical tests were considered significant for p < 0.05 using two-tailed tests, and all analysis was conducted using Stata v.15.1. (StataCorp LLC, College Station, Texas).
Copyright and License information: The Author(s) ©2020
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.
Post a Question0 Q&A
