Stata 14.2 for mac

Manufactured by StataCorp

STATA 14.2 for Mac is a statistical software package designed for data analysis, visualization, and management. It provides a comprehensive set of tools for researchers, analysts, and professionals working with various types of data. STATA 14.2 for Mac offers features such as data manipulation, statistical modeling, and graphical presentation, enabling users to perform a wide range of analytical tasks.

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Lab products found in correlation

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Stata/SE 14.2 for Mac Stata/IC 14.2 for Mac Stata 14 Stata

2 protocols using stata 14.2 for mac

Pain Prevalence and Interference in HNPP

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Analysis was performed in STATA 14.2 for Mac. Participant characteristics were reported using descriptive statistics for the entire cohort who met the inclusion criteria. Descriptive statistics were also used for the first aim, to report the prevalence of persistent pain and pain in the last week. Cross tabulation was then used to define the pain group of interest, being those who had both persistent pain and pain in the last week. Further analysis was only performed on this group.
For the second aim, relating to only those participants reporting persistent pain in the last week, mean scores were calculated for the BPI-PSS, BPI-PIS and neurological symptom interference. Participant categorisation from both the PD-Q and CSI, and if they thought pain was related to/part of HNPP, were reported descriptively. For the third aim, Pearson's correlations were used to assess potential associations between pain interference and neurological symptom interference for the overall scores and each of the seven individual interference dimensions. Strength of correlations were interpreted in accordance with recognised guidelines [3] , with an alpha value of 0.05.

Beales D., Fary R., Little C., Nambiar S., Sveinall H., Yee Y.L., Tampin B, & Mitchell T. (2017). Characterisation of pain in people with hereditary neuropathy with liability to pressure palsy. Journal of neurology, 264(12).

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Analyzing Medical Student Survey Responses

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Survey responses with completion of at least one scenario were included. Summary statistics were generated using means and proportions to describe responses. Responses were stratified by year of survey (Year one, Y1, and Year two, Y2) as well as by class for the two classes that participated in both survey years (MS3 [Class of 2017] and MS4 [Class of 2016]). Due to the anonymous nature of the survey, we were unable to compare paired responses between years but assessed differences between Y2 and Y1 only from an aggregate perspective, for all respondents and within classes. For comparisons, we considered statistical significance to be at the level of alpha = 0.05. We employed unpaired two-sample Student’s t-test, two-sample test of proportions, Pearson’s Chi-square test, and one-way ANOVA as appropriate; for post-hoc testing, Bonferroni tests were applied with adjustment of alpha for multiple comparisons. Data was analyzed using Stata 14.2 for Mac (StataCorp, College Station, TX).

Bhattacharya P., Kohn J., Polson G., Hergenroeder G., Lupo P, & Gill A. (2019). The institutional impact after enacting student solutions to decrease barriers in reporting unprofessional behaviors. MedEdPublish, 8, 89.

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