The patient characteristics were expressed as the means ± sd or as number and percentages. Incidence per 100,000 patient days and their 95% CI were calculated. All statistical calculations were performed using Statistical Package for Social Science (SPSS, Chicago, IL), version 20.0, and STATA 10.0 SE (StataCorp LP, College Station, TX).
Stata 10.0 se
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STATA 10.0 SE is a data analysis and statistical software package developed by StataCorp. It provides a comprehensive set of tools for data management, analysis, and visualization. The software is designed to handle a wide range of data types and can be used for tasks such as regression analysis, time series analysis, and survey data analysis. STATA 10.0 SE is intended for use by researchers, economists, and other professionals who require advanced data analysis capabilities.
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Lab products found in correlation
2 protocols using stata 10.0 se
1
Statistical Analysis of Patient Characteristics
2
Genetic Association Analysis Protocol
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Statistical analysis was performed using STATA 10.0 SE. The characteristics of the case and control groups were compared by the Χ2 test and the Wilcoxon rank-sum test if necessary. The Hardy–Weinberg equilibrium (HWE) test was performed by the likelihood ratio Χ2 test. Chi-square analysis was applied to examine differences in allelic and genotypic distribution, the Cochran–Armitage test was used for genotypic trend analysis, and genetic models fit genetic susceptibility. Multinomial logistic regression was employed to estimate the odds ratio (OR) and 95% confidence interval (CI). All P-value <0.05 was considered significant.
The false-positive report probability (FPRR) was calculated as described previously,12 (link) only the significant result with an FPRP value less than 0.2 was considered a noteworthy finding. The threshold set 0.2 and assigned a prior probability of 0.1 to detect an odds ratio (OR) of 0.67/1.5 (protective/risk effects) for an association. We also chose P<0.05 as a standard of statistical significance.
The false-positive report probability (FPRR) was calculated as described previously,12 (link) only the significant result with an FPRP value less than 0.2 was considered a noteworthy finding. The threshold set 0.2 and assigned a prior probability of 0.1 to detect an odds ratio (OR) of 0.67/1.5 (protective/risk effects) for an association. We also chose P<0.05 as a standard of statistical significance.
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