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Stata inter cooled version 14

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Stata Inter-cooled, version 14 is a software package designed for statistical analysis, data management, and graphics. It provides a comprehensive set of tools for researchers, analysts, and data scientists to perform a wide range of statistical procedures, including regression analysis, time series analysis, and multivariate techniques. The software is available in an Inter-cooled version, which is optimized for performance and efficiency.

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Nvivo version 12 pro, by Lumivero (2 mentions) Spss statistics 23, by IBM (1 mentions)

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Stata 14 (5026 citations) Stata (4799 citations) Stata version 14 (4134 citations) STATA versions (2 citations)

5 protocols using stata inter cooled version 14

1

Evaluating Stomal Complications After Surgery

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Power analysis was performed with the retrospective data analysis of 60 patients (30 patients per group) [28] . A sample size of 180 (90 per group) was calculated to achieve an 80% power to detect a difference of 20% in the primary outcome (local morbidity during the first 3 months postoperatively) with a significance level (alpha) of 0.05 (two-sided Fisher's exact test).
Continuous variables were compared with unpaired t test when normally distributed. Wilcoxon rank-sum test was applied for non-normally distributed continuous variables. Binary outcomes were compared using chi-squared tests. Predictive factors for stomal complications were evaluated with multivariate Poisson regression.
All statistical analyses were computed using STATA® Intercooled version 14 (Stata Corporation, Texas, USA). P values were two-sided, and p = 0.05 was considered the threshold for statistical significance. Data are presented as mean ± standard deviation if normally distributed, or as median (interquartile range).
Zindel J., Gygax C., Studer P., Kauper M., Candinas D., Banz V, & Brügger L.E. (2017). A sustaining rod increases necrosis of loop ileostomies: a randomized controlled trial. International journal of colorectal disease, 32(6).
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2

Analyzing Small Sample Datasets

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Summary statistics were reported using the median and IQR due to small sample bias. Descriptive statistical analysis was conducted using the Wilcoxon rank-sum test and Fisher’s exact test for continuous and categorical variables, respectively, given small cell counts. Statistical tests were considered significant if p < 0.05. All statistical analyses were performed using Stata Intercooled version 14 (StataCorp).
Garcia R.M., Oh T., Cole T.S., Hendricks B.K, & Lawton M.T. (2020). Recurrent brainstem cavernous malformations following primary resection: blind spots, fine lines, and the right-angle method. Journal of neurosurgery, 135(3), 671-682.
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3

Intergenerational Recurrence of ADHD

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To evaluate offspring ADHD by parental ADHD and other psychiatric disorders, both prevalence rates, prevalence differences (PD) and relative risks (RR) were calculated using predicted absolute prevalence from a Poisson regression model with adjustment for year of birth (5‐year groups; Zou, 2004 (link)). To account for correlation between siblings, we used mother’s identification number as a cluster variable in the analyses. We also calculated the parent–offspring recurrence of ADHD: (a) confined to first offspring born 1967–2011, and (b) for a narrower follow‐up period, confined to offspring born 1981–2011 whose parents were born 1967–1997, as sensitivity analyses.
We examined intergenerational recurrence risks within an epidemiological framework. Therefore, we chose epidemiological measures of associations (Khoury, Beaty, & Cohen, 1993 ). However, as a supplementary analysis, we also calculated tetrachoric correlations (mother–offspring and father–offspring) as a quantification of the genetic and environmental (familial) contributions from mother/father to offspring.
Two‐sided tests with a significance threshold of p < .05 were used in all analyses. Analyses were carried out with SPSS Statistics 23 (IBM Corp. Released, 2013 ) and STATA intercooled version 14 (StataCorp, 2015 . StataCorp LP) from October 3, 2018, to October 1, 2020.
Solberg B.S., Hegvik T., Halmøy A., Skjærven R., Engeland A., Haavik J, & Klungsøyr K. (2020). Sex differences in parent–offspring recurrence of attention‐deficit/hyperactivity disorder. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 62(8), 1010-1018.
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4

Statistical Analysis of Survey Responses

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Frequency tables are provided to summarize characteristics of the populations and survey responses. A descriptive statistical analysis compared survey responses by MS year using two-sided Student’s t-tests and chi-squared tests for continuous and categorical variables, respectively. When appropriate, Fisher’s exact test was implemented to adjust for small cell counts. Variables with greater than 5% missing values were excluded from the final analysis. p-values < 0.05 were considered statistically significant. Stata Inter-cooled, version 14 (Stata Corporation, College Station, TX, USA) was used for statistical analysis. Word clouds were generated using NVIVO Pro, version 12 (QSR International, Melbourne, Australia).
Garcia R.M., Reynolds R.A., Weiss H.K., Shlobin N.A., Chambless L.B., Lam S., Dahdaleh N.S, & Rosseau G. (2021). A National Survey Evaluating the Impact of the COVID-19 Pandemic on Students Pursuing Careers in Neurosurgery. NeuroSci, 2(4), 320-333.
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5

Statistical Analysis of Survey Responses

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Frequency tables are provided to summarize characteristics of the populations and survey responses. A descriptive statistical analysis compared survey responses by MS year using two-sided Student’s t-tests and chi-squared tests for continuous and categorical variables, respectively. When appropriate, Fisher’s exact test was implemented to adjust for small cell counts. Variables with greater than 5% missing values were excluded from the final analysis. p-values < 0.05 were considered statistically significant. Stata Inter-cooled, version 14 (Stata Corporation, College Station, TX, USA) was used for statistical analysis. Word clouds were generated using NVIVO Pro, version 12 (QSR International, Melbourne, Australia).
Garcia R.M., Reynolds R.A., Weiss H.K., Shlobin N.A., Chambless L.B., Lam S., Dahdaleh N.S, & Rosseau G. (2021). A National Survey Evaluating the Impact of the COVID-19 Pandemic on Students Pursuing Careers in Neurosurgery. NeuroSci, 2(4), 320-333.
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