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Spss statistical software ver 23

Manufactured by IBM
Sourced in United States

SPSS is a software package used for statistical analysis. Version 23.0 provides a range of tools for data management, analysis, and reporting. The software offers features for descriptive statistics, advanced statistical modeling, and visualization of data. SPSS is designed to help users analyze and interpret data efficiently.

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Lab products found in correlation

5 protocols using spss statistical software ver 23

1

Handgrip Strength and Sedentary Time in Korean Women

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Sampling weights were used to account for the complex survey design of the KNHANES; therefore, we obtained valid estimates that represented all Korean female adults and avoided biased estimates. The characteristics of the study participants were analyzed according to age and sedentary time using a weighted one-way analysis of variance for continuous variables and a weighted chi-square test for categorical variables.
The trend and relationship of handgrip strength and sedentary time (h/d) were calculated with a weighted analysis of covariance. All statistical analyses were performed using IBM SPSS statistical software ver. 23.0 (IBM Corp., Armonk, NY, USA). A P-value <0.05 was considered significant.
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2

Survival Outcomes in IFRT Patients

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The in-field control rate (IFCR) was calculated from the first date of IFRT to the date of subsequent failure within the IFRT field (i.e., in-field). Progression-free survival (PFS) was defined as the time interval from IFRT to subsequent progression (either in-field or out-field) or death without disease, whichever occurred first. Overall survival (OS) was calculated in months from the first date of IFRT to the date of death, or to the last follow-up visit for patients who remained alive. In patients who did not receive concomitant chemotherapy, the chemotherapy-free interval (CFI) was calculated from the date of first IFRT to the first date of administration of the next chemotherapy course or the last follow-up.
The Kaplan-Meier method was used to estimate the OS, PFS, IFCR, and CFI. A Cox regression model was used for the multivariable analysis of factors affecting OS, PFS, IFCR, and CFI. In all analyses, a 2-sided p-value of <0.05 was considered to indicate statistical significance. All statistical analyses were performed using SPSS statistical software, ver. 23.0 (IBM, Inc., Armonk, NY, USA).
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3

Association of LDL-C Levels and Depression Symptoms

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All statistical analyses of this survey were performed using sampling weights to represent the entire Korean population. The weights were adjusted with the values for the inverse of the response rates and the inverse of the selection probability to the sex- and age-specific values for the Korean population (post-stratification) [12 (link)]. Data are presented as mean±standard error (SE) or weighted percentage (SE). The clinical characteristics of the study population according to the LDL-C categories were compared using a weighted generalized linear regression analysis for continuous variables and weighted chi-square tests for categorical variables. After setting the intermediate category, C3, as the reference group, the odds ratios (ORs) and 95% confidence intervals (CIs) for symptoms of depression were calculated using weighted multiple logistic regression analysis, after adjusting for confounding variables. Subgroup analyses by age, sex, BMI, chronic disease, dyslipidemia medications, and depression diagnosis were conducted. IBM SPSS statistical software ver. 23.0 (IBM Corp., Armonk, NY, USA) was used for all analyses. Statistical significance was set at P<0.05.
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4

Insecticide Efficacy on Mosquito Mortality

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Mortality was the primary outcome measure to determine the residual efficacy of the insecticide. Only control-adjusted numbers were used in the final analysis. Wald Chi square and a generalized linear model (GLM) compared surfaces and concentrations, allowing for response variables that have error distribution models other than a normal distribution. The GLM allowed adjustment of the mosquito mortality based on number of exposed dead mosquitoes compared to the number of mosquitoes at risk of dying, with insecticide concentration, wall type, holding time, and interactions using a log–log link function and a binomial distribution. The estimated effects is expressed by mean mortality with a 95% confidence interval. Wald’s Chi square test tested the effects of insecticide concentration, wall type, time and their interactions. It relied on linear (independent) matched multiple comparisons among estimated marginal means using least significance difference criterion. Kaplan–Meier survival analysis estimated the mean survival duration of mosquitoes during the 5-day holding period and comparisons made using the Mantel–Cox log-rank test. Data analysis utilized SPSS statistical software ver. 23 (SPSS Inc., Chicago, IL, USA). All statistical tests were set at the discriminating level of 5% (p < 0.05).
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5

Risk Factors for MLN Metastasis

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Statistical analysis was carried out using SPSS statistical software (ver. 23; SPSS Inc., Chicago, IL, USA). Clinical and pathological variables were analyzed using Pearson's chi‐squared and Mann‐Whitney U‐tests. Multivariate logistic regression analysis was carried out to identify the risk factors for MLN metastasis. P‐value <0.05 was considered significant.
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