The Statistical Package for Social Sciences, version 22.0 (IBM, Armonk, NY, USA) was used for statistical analysis. The Kaplan–Meier estimation method was used to assess the disease-free survival (DFS) and overall survival (OS). OS was defined as the time from the first day of neoCRT to death for any reason or the day of last follow-up. DFS was determined from the first day of neoCRT to the date of tumor recurrence or distant metastasis. Cox models were used to assess prognostic factors using backward to eliminate the insignificant explanatory variables. Age and sex were covariates in all tests and other factors included distance from anal verge, cT classification, cN classification, concurrent chemotherapy, adjuvant chemotherapy, pCR, pre-neoCRT mTOR expression score, pre-neoCRT p-mTOR expression score, microsatellite instability status, pre-neoCRT TPS, pre-neoCRT CPS, pre-neoCRT IC, post-neoCRT CPS, and post-neoCRT IC. Pre-neoCRT mTOR expression score, pre-neoCRT p-mTOR expression score, pre-neoCRT TPS, pre-neoCRT CPS, pre-neoCRT IC, post-neoCRT CPS, and post-neoCRT IC were defined as continuous variables for multivariate analysis. All statistical tests were two sided, and p < 0.05 was considered to be statistically significant.
Statistical package for social sciences version 22
Manufactured by IBM
Sourced in United States, Switzerland
SPSS Statistics version 22.0 is a software package used for statistical analysis. It provides tools for data management, data analysis, and presentation of results. The software is designed to work with a variety of data types and can be used for a range of statistical procedures, including descriptive statistics, regression analysis, and hypothesis testing.
Automatically generated - may contain errors
Lab products found in correlation
Spike2, by IBM (2 mentions)
Version 5, by GraphPad (1 mentions)
Spss statistics for windows version 22, by IBM (1 mentions)
Epidata 3, by IBM (1 mentions)
Spss v22, by IBM (1 mentions)
Spss statistic, by IBM (1 mentions)
Sabouraud dextrose agar, by Thermo Fisher Scientific (1 mentions)
Census and survey processing system version 7.0, by IBM (1 mentions)
Version 15, by MedCalc (1 mentions)
Statistical analysis system version 9, by SAS Institute (1 mentions)
Lightcycler 96 sw 1, by Bio-Rad (1 mentions)
Cfx manager 3, by Bio-Rad (1 mentions)
R software version 3, by R Project for Statistical Computing (1 mentions)
255 protocols using statistical package for social sciences version 22
1
Prognostic Factors in Rectal Cancer
2
Efficacy of Intervention for Condition
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Based on a similar previous study [14 (link)], 26 patients were required in each group, assuming a power of 0.80 and a 5% alpha error (2-tailed): [15 ]. To compensate for dropouts, 30 patients in each group were recruited. Coded data were tabulated and statistically analyzed using the Statistical Package for Social Sciences version 22.0 (IBM Corp., USA). Data are presented as mean ± SD, numbers, frequencies and percentages. Data were analyzed using the independent t-test, repeated measures analysis of variance (RMANOVA), chi-square test, or the log-rank test as appropriate. The level of significance was set to a P value of < 0.05.
3
Dietary Intervention Effects on Glucose
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The Shapiro–Wilk test was used to test the normality of data. A paired samples test was used to analyze the normally distributed data, while non-normally distributed data of blood chemistry and body composition were analyzed by using the Wilcoxon-signed rank test to compare data at week 0 and week 12. Repeated measures analysis of variance (RM-ANOVA) was performed to analyze normally distributed data, while Friedman’s two-way ANOVA by ranks was used to analyze the non-normally distributed data of dietary intake, GI symptoms, and physical activity to compare data at week 0, 3, 6, 9, and 12. All statistical analysis was performed using Statistical Package for Social Sciences version 22.0 (IBM Corp, Armonk, NY, USA). p-value less than 0.05 was considered as statistically significant. A minimum of 18 participants was required to evaluate the significance on fasting plasma glucose with effect size of 0.7083, level of significance at 0.05, and power was set at 80% [26 (link)]. Sample size was estimated using G* power version 3.1 [27 (link)]. Dropout rate was estimated at 30%; thus, 24 participants were recruited in this study.
4
Cell Growth and miRNA Expression Analysis
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The experiments of cell growth analysis and qRT-PCR were performed with three technical replicates. All values are presented as mean ± SEM. For the small RNA sequencing data, the threshold values we used in choosing the differentially expressed miRNAs were a fold change greater than 1.5 and a p value less than 0.05. For the qRT-PCR data, statistical analysis was performed using the Statistical Package for Social Sciences version 22.0 (IBM, Armonk, NY, USA). The fold changes were calculated through the relative quantification with 2−ΔΔCT. A p value less than 0.05 was considered significant.
5
Genetic Associations in Febrile Seizures
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IL-1β genotype and allele frequencies in FS patients and healthy controls were tested for Hardy–Weinberg equilibrium and deviations between observed and expected frequencies were tested for significance using Pearson chi-squared and Fisher exact tests. Odds ratios (OR) and 95% confidence intervals [95% (CI)] were calculated as a measure of the association between IL-1β (−31, −511) or IL-1RA (VNTR) gene polymorphisms and FS. The Student t test and analysis of variance (ANOVA) were used to compare numeric variables within groups. P value <0.01 was considered to be statistically significant. All data were analyzed using Statistical Package for Social Sciences version 22.0 (IBM Corp., Armonk, NY) and the Epi Info statistical software (version 6.2, World Health Organization, Geneva, Switzerland).
6
Statistical Analysis of Social Data
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Data were analyzed using the Statistical Package for Social Sciences, version 22.0 (IBM Corp., Armonk, NY, USA). Microsoft Excel 2016 MSO (version 2209) was also used. Categorical variables were expressed as percentages. Statistical tests of significance were not carried out.
7
Oral Mucositis Risk Factors Analysis
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All statistical analyses of the data obtained in the study were performed with the Statistical Package for Social Sciences version 22.0 (IBM Corp.; Armonk, NY, USA) package program. Categorical data were shown as numbers and percentages, while continuous variables data were shown as mean and standard deviation. In the study, the Friedman test was used to analyze the dependent group comparisons of categorical variables obtained during the 7-day monitoring period and more than 2 dependent group comparisons of continuous variables that did not show normal distribution. Binary logistic regression analysis was used to determine the variables that affect the oral mucositis development risk in patients included in the study. In statistical analyses, the significance level was accepted as P <.05.
8
Quantitative Fluorescence Analysis
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Statistical analyses were performed with the Statistical Package for Social Sciences, Version 22.0 (IBM Corp., Armonk, NY, USA). All tests were performed two-sided and a significance level of <0.05 was considered to be statistically significant. To test for difference in tumor and normal fluorescence and autoradiography intensities, we performed a Mann–Whitney U test across all samples or control antibody-conjugate-incubated samples. For analyses of patients who received systemic therapy versus patients who did not, we also performed a Mann–Whitney U test which divided the cases by history of systemic therapy.
9
Maternal Psychopathology and Infant Outcomes
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IBM Statistical Package for Social Sciences (version 22.0) was used to ana- lyze
the data. Descriptive statistics such as frequencies and percentages, means, and
standard deviations were employed for the sociodemographic and clinical details.
Pearson’s r was done to assess the correlation between maternal
psychopathology, mother–infant interactions, and infants’ quality of life and
development.
the data. Descriptive statistics such as frequencies and percentages, means, and
standard deviations were employed for the sociodemographic and clinical details.
Pearson’s r was done to assess the correlation between maternal
psychopathology, mother–infant interactions, and infants’ quality of life and
development.
10
Immune Cell Analysis in NSCLC
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Percentages of immune cells were expressed with mean±standard deviation (SD). Differences of immune cells between NSCLC patients and controls, and relationships between patient characteristics and immune cells were determined by the Student's t-test. The Kaplan-Meier analysis was employed to estimate PFS and compare PFS between groups by log-rank test. The Cox proportional hazards model was performed to determine hazard ratios (HRs) and 95% confidence intervals (CIs). Variables of P < 0.05 in univariate analysis were enrolled in multiple analysis. Data analyses were performed using the Statistical Package for Social Sciences, Version 22.0 (IBM Corporation, Armonk, NY, USA) and GraphPad Version 5.0 (GraphPad Software Inc., San Diego, CA, USA); P < 0.05 was defined as statistically significant.
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