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Stata version 10

Manufactured by IBM
Sourced in United States

STATA version 10.0 is a statistical software package designed for data analysis, visualization, and modeling. It provides a comprehensive set of tools for managing, analyzing, and presenting data. The software is known for its powerful programming language, diverse statistical capabilities, and user-friendly interface.

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6 protocols using stata version 10

1

Prognostic Value of NLR in HCC after LT

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The statistical analysis was carried out using STATA version 10.0 and SPSS version 13.0. On the one hand, pooled HR with 95% CI was used to estimate the effect of elevated NLR on OS and DFS in HCC patients after LT. A combined HR > 1 indicated a poor outcome for patients with elevated NLR, while HR < 1 indicated a favorable outcome for elevated NLR. On the other hand, pooled odds ratio (OR) with 95% CI was used to assess the impact of elevated NLR on survival rate of HCC patients after LT. A combined OR > 1 indicated a favorable outcome, while a combined OR < 1 indicated a poor outcome. The prognostic value of NLR in HCC after LT was regarded as significant when the combined 95% CI did not overlap 1 unit. Heterogeneity among the studies was determined by Chi-square test and Q test [16 (link)]. If heterogeneity was significant (P < 0.1 or I2 > 50%), random-effect model was used. Otherwise, fixed-effect model was used. All P values were two-tailed with a significant level at 0.05.
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2

Statistical Analysis of Categorical and Quantitative Variables

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For comparison of categorical variables, the chi-squared test or the Fisher exact test were used where appropriate. A paired Student’s t-test was performed for the comparative analysis of quantitative variables. Results are expressed as percentages or mean values ± SD, unless otherwise stated. A stratified analysis was performed aiming at finding potential associations among clinical, imaging, and biochemical characteristics with outcome. Values of P < 0.05 were considered statistically significant. STATA version 10.0 and SPSS version 16.0 were used as statistical software.
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3

Comparative Analysis of Clinical, Imaging, and Biochemical Data

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For comparison of categorical variables, the chi-squared test or the Fisher exact test was used where appropriate. Paired Student's t-test was performed for the comparative analysis of quantitative variables. Results are expressed as percentages or mean values ± SD, unless otherwise stated. A stratified analysis was performed aiming at finding potential associations among clinical, imaging, and biochemical characteristics with outcome. P values < 0.05 were considered statistically significant. STATA version 10.0 and SPSS version 16.0 were used as statistical software.
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4

Evaluating Eye Health Disparities Among Workers

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A descriptive analysis was carried out of all sociodemographic and occupational factors by worker origin (immigrants born in Colombia or Ecuador and those born in Spain). Prevalence of self-perceived eye health was calculated, as well as access to eye care specialists and use of lenses, using the worker’s origin as the explanatory variable, and sociodemographic and occupational variables. Statistically significant differences in the obtained prevalences were examined using Fisher’s exact test. Finally, for each health result (poor self-perceived eye health, limited access to a specialist >3 years or never, and the unmet need for corrective lenses), by worker’s country of origin, logistic regression models were carried out with family-specific random effects. The association measure obtained was odds ratios (OR) with confidence intervals of 95%. Both crude OR (ORc) and adjusted OR (ORa) by all of the explanatory variables and the study city, were calculated. The programs SPSS version 15 (IBM, Armonk, NY, USA) and Stata version 10 (College Station, TX, USA) were used.
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5

Prevalence of ESBL-Producing Bacteria in Pets

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Quantitative variables were summarized as medians with interquartile ranges (IQRs), and categorical data were expressed as percentages. In bivariate analyses, the χ2 test (or Fisher’s exact test when appropriate) was used to compare categorical variables. A logistic regression model was used to identify factors associated with the presence of ESBL-E in cats and dogs and to calculate crude and adjusted odds ratios and their 95% confidence intervals (95% CI). Multivariate analyses were not performed due to the low number of cases of ESBL-E in cats (6 cases) and in dogs (8 cases). We considered P < 0.05 to be significant. Microsoft Access 2003 was used for data entry. Statistical analyses were performed with Stata Version 10 and SPSS (V21, IBM SPSS Statistics, Chicago, IL, United States).
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6

Mental Health of Immigrant Workers

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We restricted our sample to participants who were employed at the baseline (2015; n = 324 (111 Spanish and 213 immigrant)) and reported good mental health (n = 130). After comparing results between immigrant participants and those born in Spain, we evaluated the relationship between length of residence in Spain and incidence of common mental disorders. Odds ratios were crude and adjusted by the city of study, sex, age, educational attainment, occupational class, working hours per week, informal employment, standard hours, physical demands, and income level. Logistic regression models were carried out with family-specific random effects. Data were managed and analysed using the statistical software programs SPSS version 15 (IBM, Armonk, NY, USA) and Stata version 10 (College Station, TX, USA).
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