Improve Research Reproducibility A Bio-protocol resource
Concise Method
tooltip

2.3. Statistical Analysis

MP Majken Bisgaard Pedersen
SV Signe Vahlkvist
request Request a Protocol
ask Ask a question
Favorite

For group comparisons, Wilcoxon rank-sum test was used because data were generally not normally distributed. Chi-squared test was used for binary outcomes.

Development in HR, RR and FiO2 was measured using a variance-components model with maximum likelihood estimation. Device, time, age, and sex, as well as interaction between time and device were chosen as explanatory variables. A squared link of time was also included to investigate nonlinear effects. The model was fitted with significant variables using simple backward elimination. Post-estimation analysis was conducted using residual diagnostics. For all analyses, significance level was defined as p < 0.05.

All statistical analyses were performed using STATA version 10 statistical software (StataCorp, College Station, TX, USA).

Copyright and License information:  ©2017 by the authors.
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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.

0/150

tip Tips for asking effective questions

+ Description

Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.

post Post a Question
0 Q&A