All statistical analysis was performed with R statistical software (version 2.13.2), Stata 16, and GraphPad Prism 8.4.3 (GraphPad Software, California, USA). Statistical analysis was performed with a two-tailed Student’s t-test between two groups and a one-way analysis of variance (ANOVA) for multiple groups, followed by Tukey’s post hoc test. The univariable analyses were conducted using simple linear regression to assess the association between rectal temperature AUC with anti-ASNase antibodies, basophil activation markers, and ASNase-specific recognition of leukocytes/basophils. Statistically significant factors from the univariable model were included in the multivariable linear regression model. Data are presented as mean ± standard deviation. A P value of less than 0.05 was considered significant and denoted as *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. Data are shown in mean ± SD.
Stata 16
Manufactured by GraphPad
Sourced in United States
Stata 16 is a comprehensive statistical software package that provides a wide range of data analysis and visualization tools. It is designed to handle a variety of data types and offers advanced statistical methods for researchers, analysts, and professionals across various fields. Stata 16 includes features for data management, regression analysis, time-series analysis, and more.
Automatically generated - may contain errors
8 protocols using stata 16
1
Multifactor Analysis of Asparaginase Response
2
Statistical Analyses in Biological Research
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Statistical analyses were performed in STATA 16 and GraphPad Prism (GraphPad Software Inc., San Diego, CA). P values of less than 0.05 were considered statistically significant. Unpaired t tests and Mann–Whitney U tests were performed, as appropriate.
3
Exploratory Descriptive Data Analysis
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The continuous data were described with the mean and standard deviation (SD) or the median and quartiles (IQR), depending on the distribution and categorical data with the counts and percentage. Given the exploratory nature of the study, no p-values are reported.
GraphPad Prism version 8.2.1 (GraphPad Software, San Diego, CA, USA) and Stata 16 (Colleg Station, TX, USA) were used the computations.
GraphPad Prism version 8.2.1 (GraphPad Software, San Diego, CA, USA) and Stata 16 (Colleg Station, TX, USA) were used the computations.
4
CD68 Density and Air Pollution
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We assessed the relationship of CD68 score with the daily average AQI, PM2.5, and wildfire specific PM2.5 via linear regression. Analyses were performed in Stata 16.1 and GraphPad Prism software (version 9.5.0). Two-tailed unpaired Welch’s t-test was performed to compare mean CD68 density against healthy controls among first trimester, second trimester, and term samples.
5
Survival Analysis of Clinical Outcomes
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Statistical analyses were performed using GraphPad Prism v9.0 (GraphPad Software Inc., La Jolla, California, USA) and Stata 16.1. Univariate analyses of baseline demographics, clinical, and pathological variables were performed using Pearson's χ2 test and the Mann–Whitney U test. Kaplan–Meier curves were used for survival analysis (OS and PFS) and when required, landmark analysis was performed to reduce immortality bias. Comparisons between groups were analyzed using the log‐rank (Mantel‐Cox) test and univariate Cox proportional hazards regression models. A p value of < 0.05 was considered statically significant.
6
Comparative Analysis of SIN Biomarkers
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The mean ± SD (standard deviation) was used to describe normally distributed data. The differences between the two groups were analyzed using t-tests or rank-sum tests. Paired t-tests were used to compare the results on the first and third days of the MWM. With regard to the RNA-seq results, |log2(fold change)| > 0.2 and adjusted P < 0.05 were set to achieve more DEGs [30 (link)], which have a potential association with SIN. The fold change of each gene was calculated by comparing the standardized read counts of one group to another group (fold change = standardized read counts of one group/standardized read counts of another group). A P < 0.05 was considered a significant difference. All data analyses and statistics were performed with Stata 16.0 (Stata Corporation, USA), and statistical charts were produced by GraphPad Prism 8.0 (GraphPad Software Inc., USA) and Stata 16.0.
7
Comparative Health Outcomes Analysis
8
Comparative Health Outcomes Analysis
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Baseline characteristics were summarized using medians and ranges or means and standard deviations (SD) for continuous variables and frequencies and percentages for categorical variables. Comparisons for variables were performed using Student’s t-test or Mann-Whitney U (for two group comparisons) and the one-way analysis of variance or Kruskall-Wallis (for more than two group comparisons) for continuous numerical data. Categorical data were compared using either χ2tests or Fisher’s exact tests as appropriate. Health state index scores generally range from <0 (where 0 is the value of a health state equivalent to dead; negative values representing values as worse than dead) to 1 (the value of full health) were calculated from individual health profiles using crosswalk value sets for Zimbabwe [16 ]. Statistical analyses were performed using STATA 16.0 and GraphPad Prism 8.0. A p < 0.05 was considered to indicate statistical significance.
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