Stata SE version 14.2 for Windows (StataCorp LLC, College Station, TX) was used for all statistical calculations. Two-sided log-rank test was used to evaluate group survival differences for combined sexes, males, and females and considered timing of animal deaths not just the number of deaths. For hematology, body weight, and body temperature, tests of group mean differences (P value mean) were conducted using 2-sided t tests with unequal variances and Welch's correction for degrees of freedom and were graphed by treatment group using combined sexes and/or by single sex using the mean ±1 standard error of the mean. Graphs include data from scheduled observations from any animal that was alive on a given day. Graphs were generated using GraphPad Prism 8.4 (La Jolla, CA). Data were sometimes presented on a logaxis for clarity; however, none of the data were log-transformed before statistical testing. NEUT counts below the lower limit of the linear range (0.01 × 10 3 /µL) were reported as zero for the statistical analysis.
Stata se version 14.2 for windows
Manufactured by StataCorp
Sourced in United States
Stata SE version 14.2 for Windows is a statistical software package designed for data analysis, management, and visualization. It provides a comprehensive set of tools for researchers, analysts, and professionals across various fields. The software offers a wide range of statistical models, data manipulation capabilities, and advanced graphics features.
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Lab products found in correlation
3 protocols using stata se version 14.2 for windows
1
Statistical Analysis of Animal Survival
2
Thermal Energy Transfer in Kidney
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Thermal energy transfer was calculated using the area under the curve of the temperature-time graph. All variables were expressed as mean ± standard error. Univariate analysis was performed with two-tailed t-tests with either paired sample means or two sample means, assuming equal variance. The effect of kidney weight, KPJ™ versus control, kidney test order, left versus right kidney were assessed. Alpha was set at p = 0.05. All statistical analysis was performed using Stata SE version 14.2 for Windows (StataCorp, College Station, TX, USA).
3
Associations of Physical Activity Behaviors
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Characteristics of men and women at baseline were summarised using means and standard deviations (continuous variables) and percentages (categorical variables). For each baseline behavioural exposure variable, we used linear regression models to estimate the association with subsequent average PA, first with no adjustment for any covariates (Model 1) and second, with covariate adjustment (Model 2). Model 3 was additionally adjusted for the other behaviours under investigation that were not potentially overlapping with the main exposure; for example, the MVPA model 3 was not adjusted for the five specific types of PA. Specific details of the variables included in each model are provided in Additional file 1 : Table S1. When the exposure was the change in a behaviour, the models were additionally adjusted for the exposure and any non-overlapping behaviours at baseline. All analyses were stratified by sex. Variance Inflation Factor values of all regression models were less than 10, demonstrating no evidence of severe multi-collinearity. Analyses were performed using Stata/SE Version 14.2 for Windows (StataCorp LLC, College Station, TX).
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