The participants were categorized into two separate sub groups viz. CNP and MCI based on their psychological scores with respect to globally accepted normal values. Descriptive analysis was done for the psychological scores. Mean, standard deviation and standard error of mean was calculated for each group. Statistical analysis was performed using ANOVA with Duncan's Post Hoc test for comparisons between groups using SPSS 17.0 Statistic software (SPSS, Chicago, IL, USA). Relations between variables were analyzed by calculating the Pearson product- moment correlation coefficients. P-values <0.05 (two tailed) were considered to be significant. The data was archived in the central records keeping centre of DIHAR.
Spss 17.0 statistic software
Manufactured by IBM
Sourced in China
SPSS 17.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data manipulation, statistical modeling, and reporting. The software is designed to help users quickly and easily analyze data, generate reports, and make informed decisions.
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Lab products found in correlation
4 protocols using spss 17.0 statistic software
1
Cognitive and Memory Profiles in Elderly
2
Comprehensive Statistical Analysis Protocol
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R software, SPSS 17.0 statistic software (SPSS), and GraphPad Prism 5.0 software were used to conduct statistical analyses. The R packaged used in the present study were: ggplot2 (Wickham, 2016 (link)), survival (Therneau & Grambsch, 2000 ), and limma (Ritchie et al., 2015 (link)). The data were presented as mean ± SD. Student’s t-tests were applied to describe the differences between different groups. Kaplan–Meier analysis was used to calculate the survival differences between divided groups. The Pearson correlation test was used to compare the correlation between the SIX4 and AKT pathway genes. We considered P < 0.05 as significant in all cases.
3
Survival Analysis of Cancer Prognosis
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The survival time was calculated from the diagnosed time to the end of the follow-up. The Kaplan–Meier test and log-rank test of SPSS 17.0 statistic software (SPSS, Shanghai, China) package were used to calculate survival rate, compare, and analyze the survival rates of each group. Cox model was used to analyzing the prognosis factors. The prognosis was evaluated from gender, age, pathological type, T stage and chemotherapy in Log-rank test.
4
Survival Analysis of Cancer Patients
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The survival time was calculated from the diagnosed time to the end of the follow-up. The Kaplan-Meier test and log-rank test of SPSS 17.0 statistic software (SPSS, China, Shanghai) package were used to calculate survival rate, compare, and analyze the survival rates of each group. Cox model was used to analyzing the prognosis factors. The prognosis was evaluated from gender, age, pathological type, T stage, N stage, and chemotherapy in Log-rank test.
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