The largest database of trusted experimental protocols

Spss software program

Manufactured by IBM
Sourced in United States, Japan

SPSS is a software program that provides statistical analysis and data management capabilities. It is designed to handle a wide range of data types and offers a variety of analytical techniques, including regression analysis, forecasting, and clustering. SPSS is used in various industries and research fields to gain insights from data.

Automatically generated - may contain errors

210 protocols using spss software program

1

Statistical Analysis of Clinical Outcomes

Check if the same lab product or an alternative is used in the 5 most similar protocols
Categorical variables were presented as numbers and percentages and compared using the chi-square or Fisher's exact test. Continuous variables were presented as medians with interquartile ranges (IQRs) and tested using Student's t-test or the Mann-Whitney U test. The 30-day mortality rate was estimated using the Kaplan-Meier method, and survival estimates were compared using the log-rank test. A two-sided p<0.05 was considered significant. Statistical analyses were conducted using the SPSS software program, version 26 (IBM, Armonk, USA).
+ Open protocol
+ Expand
2

Antimicrobial Susceptibility Testing Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols
Categorical variables were compared using the chi-square test or Fisher’s exact test. The evaluation of changes in MIC was performed using the Wilcoxon signed-rank test. Differences were considered significant at p < 0.05. When the chi-square test results were statistically significant, adjusted residuals were calculated to determine which particular associations were significant. Adjusted residuals were significant at p < 0.05 level if they were less than − 1.96 or more than 1.96, and were significant at p < 0.01 level if they were less than − 2.58 or more than 2.58. All statistical analyses were performed using the SPSS software program (version 20, IBM Japan, Japan).
+ Open protocol
+ Expand
3

Statistical Analysis of Experimental Mice

Check if the same lab product or an alternative is used in the 5 most similar protocols
The SPSS software program (version 19.0; IBM Corporation, Armonk, NY, USA) was used for the statistical analyses. Continuous data are expressed as the mean ± standard deviation. Comparative analyses were performed using the independent sample t-test. Categorical data are expressed as the counts (percentages). The relationships between categorical data were analyzed by the chi-square test or Fisher’s exact test. The survival curves of mice were drawn using the Kaplan–Meier method and analyzed with the log-rank test. In all tests, a P-value <0.05 was considered statistically significant.
+ Open protocol
+ Expand
4

Predicting Local Recurrence After Carbon-Ion Radiotherapy

Check if the same lab product or an alternative is used in the 5 most similar protocols
The sensitivity and specificity for the prediction of local recurrence by each predictor of interest were calculated, and receiver operating characteristic (ROC) curves were created. Using the ROC curves, the propensity of the predictors to predict local recurrence was compared to that of the reference, which had an area under the curve (AUC) of 0.5. The cut-off point that minimized the distance between the point (0, 1) on the upper left hand corner of the ROC space and ROC curve was defined as optimal. The sample size was based on a significance level of 5 %, a power level of 80 %, an expected AUC = 0.8 and a 25 % recurrence rate after CIRT, which was estimated from previous reports [8 (link), 15 (link)]. The required sample size was 36. The differences in the values of the predictors between the recurrence and no recurrence groups were analyzed with t-tests. The difference between the pre-and post-Tx SUVmax by FDG-PET/CT and the pre- and post-Tx tumor sizes were analyzed with paired t-tests. The statistical analyses for sample size estimation were performed using the MedCalc Statistical Software program, version 13.3.3 (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org; 2014), and the others were performed with the SPSS software program (version 22.0; IBM Corporation, Somers, NY).
+ Open protocol
+ Expand
5

Survival Analysis of Patient Cohorts

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were expressed as the mean ± SD. The Kolmogorov-Smirnov test was used to determine the normality of quantitative data. To analyze differences between the two groups, Student t-test analysis of mean numerical data and Mann-Whitney U-test analysis of nonnumerical data were performed. The Kaplan-Meier method was used to compare the OS durations in the two groups of patients. Data were analyzed using the SPSS software program (version 20; IBM Corporation, Armonk, NY, USA). P levels less than 0.05 were considered statistically significant.
+ Open protocol
+ Expand
6

Diverticular Hemorrhage Factors Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
All patients' clinical records, endoscopic images, and endoscopic reports were reviewed. Patients with definite diverticular hemorrhaging were retrospectively evaluated with respect to the following factors: age, sex, bleeding site (the right side of the colon, including the cecum, ascending colon, and transverse colon; and the left side of the colon, including the descending colon and sigmoid colon), hemoglobin value, comorbidities (hypertension, diabetes mellitus, chronic renal failure, cerebrovascular disease, and ischemic heart disease), prescription medications (anticoagulants, antiplatelets, nonsteroidal anti-inflammatory drugs, steroids, and proton pump inhibitors), and the level of experience of the endoscopist who performed the hemostasis.
After performance of the Shapiro-Wilk test, Student's t-test or the Mann-Whitney U test was carried out for continuous variables. Pearson's chi-squared test or Fisher's exact test was used for categorical variables. We also performed a binary logistic regression analysis by including variables with a p value of <0.20 in the univariate analysis as well as clinically important variables. Differences were considered statistically significant at p<0.05. All analyses were performed with the SPSS software program, version 23 (IBM, Armonk, USA).
+ Open protocol
+ Expand
7

Lymph Node Metastasis-free Survival Study

Check if the same lab product or an alternative is used in the 5 most similar protocols
We calculated that we would need a sample size of at least 196 patients to detect a 10% difference (85–95%)10 (link),11 (link) in the 3-year lymph node metastasis-free survival at a 5% type-I error rate and with 80% power for a two-tailed log-rank test in which the ratio of sample sizes in the 2 groups was 3. Kaplan–Meier curves were generated for the time to lymph node metastasis, and the risk of metastasis was analyzed univariately by log-rank tests. Only variables that were associated with metastasis at a level of P < 0.05 were considered for entry into a Cox proportional hazards model.
Calculation of the sample size was performed with EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan),24 (link) which is a graphical user interface for the R software program (The R Foundation for Statistical Computing, Vienna, Austria), and other statistical analyses were performed using the SPSS software program (version 22.0; IBM Corporation, Somers, NY).
+ Open protocol
+ Expand
8

Retrospective Survival Analysis Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols
Continuous interval-scaled data were summarized using median values and ranges. Categorical data were summarized using frequencies and relative frequencies. Associations between categorical variables were tested using the chi-square and Fisher exact tests. PFS and OS curves were estimated using the Kaplan-Meier method and compared using log-rank tests. A second-order effect on hazard ratio (HR) was analyzed by Cox proportional hazards regression analysis through backwards conditional elimination, adjusted for with selected co-variables collected at initial phase I clinic visit (Eastern Cooperative Oncology Group performance status, albumin, lactate dehydrogenase, and the number of metastatic sites). All tests were two-sided and considered significant when p values were less than 0.05. Statistical analyses were performed using the SPSS software program (version 24; IBM Corporation).
+ Open protocol
+ Expand
9

Statistical Analysis of Adenoid Cystic Carcinoma

Check if the same lab product or an alternative is used in the 5 most similar protocols
Continuous variables were assessed using the Mann-Whitney U test, and categorical variables were assessed using the Fisher exact test. A p value of <0.05 was considered to be statistically significant. The recurrence rate of AC was analyzed using the Kaplan-Meier method. The multivariate analysis was performed using a logistic regression analysis for factors with a p value of <0.25 in univariate analyses, and the results are given with their hazard ratios and 95% confidence intervals (CIs). The SPSS software program (version 24; IBM Japan, Tokyo, Japan) was used for the analyses.
+ Open protocol
+ Expand
10

Statistical Analysis of Continuous and Categorical Variables

Check if the same lab product or an alternative is used in the 5 most similar protocols
The distribution of continuous variables was assessed (Kolmogorov-Smirnov test) and expressed as appropriate (mean ± standard error or median with range). The Student t-test or the Mann-Whitney U test was conducted to determine statistical significance. Categorical variables were evaluated using the Fisher exact test (odds ratio and 95% confidence interval). P values less than 0.05 were considered statistically significant (all tests, two-tailed). The SPSS software program (version 18.0; IBM Corporation) was used for all statistical analyses.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!