Stata 12.0 for windows
STATA 12.0 for Windows is a comprehensive, integrated statistical software package that provides a wide range of data analysis, data management, and graphics capabilities. It is designed to handle a variety of data types and can be used for tasks such as data manipulation, statistical modeling, and visualization. STATA 12.0 for Windows is available for the Windows operating system and is a powerful tool for researchers, analysts, and professionals in various fields.
Lab products found in correlation
17 protocols using stata 12.0 for windows
Intra-arterial Chemotherapy Survival Outcomes
Angiotensin Levels in Cardiovascular Disease
Genetic and Clinical Factors in AIAA
We tested associations between AIAA and demographic and clinical variables using the χ2 test. Demographic and clinical variables with P values of < .10 in the bivariate analyses were carried forward to the multivariable logistic regression models. Next, we examined the association between AIAA and genetic polymorphisms using the χ2 test. Genetic SNPs with P values of < .001 (Bonferroni Adjustment) in the bivariate analyses were carried forward to the multivariable logistic regression models. We performed logistic regression analyses in two steps: 1) Model 1 included only the demographic and clinical variables, and 2) Model 2 added the genetic SNPs to Model 1.
Evaluating Point-of-Care Testing Satisfaction
Equivalence of Shoulder Pain Management
Secondary outcomes were summarised using n, Mean (SD), and Median (IQR). The difference between the groups were compared using analysis of covariance, adjusting for the baseline values. Stata 12.0 for Windows (Stata Corporation, College Station, TX, USA) and R 3.0.2 (R Foundation for Statistical Computing. Vienna, Austria) was used for the data analysis.
Risk Factors for Chemotherapy-Induced Neuropathy
Hepatitis Prevalence and Factors
Barriers to Acupuncture Utilization
manager. Less than 5% of the data were missing in all of the key variables
described in the article. Data analysis was performed using STATA 12.0 for
Windows (STATA Corporation, College Station, TX). To identify the reasons
patients were hesitant to use acupuncture, if a participant answered “agree” or
“strongly agree,” we considered this is to be one of the factors associated with
barriers to use. We performed multiple linear regression analysis to determine
the relationship between relevant socioeconomic factors associated with
perceived barrier scores. In addition, we performed cross-tab analysis between
race and education. All analyses were 2-sided with a P less
than .05 indicating significance. Our sample size was determined by the parent
study.
Adhesive Removal Surface Roughness Analysis
Weight Gain Effects on Neurocognitive Outcomes
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