Stata 14.2 mp

Manufactured by StataCorp

Sourced in United States

STATA 14.2/MP is a statistical software package designed for data analysis, modeling, and visualization. It provides a comprehensive set of tools for managing, analyzing, and presenting data. STATA 14.2/MP offers parallel processing capabilities to speed up computations and handle large datasets efficiently.

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Hiseq 2500, by Illumina (1 mentions)

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9 protocols using stata 14.2 mp

Chlamydia Screening and Intention

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Data collected online through the Qualtrics platform was downloaded and processed in SPSS. STATA14.2/MP was used for further data analysis, including sample description and exploratory factor analysis (i.e. Principal Component Analysis (PCA) with varimax rotation and Kaiser normalisation) as informed by the initial pilot testing phase. Factors, assigned with the PCA generated item scores, along with other key sociodemographic variables were then forceentered into the initial multivariable logistic regression model as blocks. Following a hierarchical model reduction procedure, the final parsimonious model was produced. Statistical significance testing was set at P < 0.05.
We report here the following key outcomes: (1) the positive screening rate of chlamydia through self-collected urine samples (a proxy of active campaign engagement); ( 2) key factors informing client segmentation of the survey samples (a proxy of whether tailored messages reached diverse sexually active young people); and (3) key factors associated with their intention (= 'definitely yes') to have an STI test within the next 12 months (a proxy of future behavioural change intention).

Janssen M., Okeke S., Murray C., Ewing M., Lu H., Bourne C, & Mao L. (2021). STI testing among young people attending music festivals in New South Wales, Australia: exploring the client segmentation concept in the 'Down to Test' program. Sexual health, 18(5).

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Statistical Analysis of Two-Tailed Experiments

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All analyses were two-tailed and α was set at 0.05. Analyses were performed using STATA 14.2/MP (College Station, Texas).

Haugen C.E., King E.A., Bae S., Bowring M.G., Holscher C.M., Garonzik-Wang J., McAdams-DeMarco M, & Segev D.L. (2018). Early Hospital Readmission in Older and Younger Kidney Transplant Recipients. American journal of nephrology, 48(4), 235-241.

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Aldosterone Secretion and KCNJ5 Mutation Analysis

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Patients were categorized by the presence or absence of 1 mg DST>1.5 (Table 1) and by the presence of mutated or wild-type (WT) KCNJ5 (Table 2). The Fisher exact test was used for categorical variables and the Mann-Whitney U test for continuous variables. An interaction term, KCNJ5 mutation × 1 mg DST<1.5 was generated to test whether the clinical outcome of 1 mg DST<1.5 was modified by the presence of a KCNJ5 mutation.
Multivariable regression analysis was performed to investigate the relationship between KCNJ5 mutation and 1 mg DST>1.5 (Table 3, Methods in the Data Supplement).
A conditional effect plot was drawn based on the fitted results of the regression model to predict 1 mg DST>1.5. We chose the turning point with maximal the slope change of the tangent line.
A 2-sided P<0.05 was considered significant. Statistical analyses were performed using Stata 14.2 MP (Stata Corporation, College Station, TX) and R software, version 3.4.4 (Free Software Foundation, Inc, Boston, MA).
Additional detailed descriptions of materials and methods are available in the Data Supplement.

Peng K.Y., Liao H.W., Chan C.K., Lin W.C., Yang S.Y., Tsai Y.C., Huang K.H., Lin Y.H., Chueh J.S, & Wu V.C. (2020). Presence of Subclinical Hypercortisolism in Clinical Aldosterone-Producing Adenomas Predicts Lower Clinical Success. Hypertension (Dallas, Tex. : 1979), 76(5).

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Factors Predicting Ischemic and Hemorrhagic Stroke

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Demographic and clinical variables in subjects with and without each type of neurologic injury (ischemic stroke, hemorrhagic stroke, and brain death) were compared by unpaired t-test, chi-square test, or Mann-Whitney U test as appropriate. Results are expressed as the mean with standard deviation for quantitative variables and as proportions for categorical findings. Ordinal or categorical data are reported as numbers and percentages. A p value <0.05 was considered statistically significant. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using logistic regression. We carefully selected clinically relevant variables that have biologically plausible associations or causality for inclusion in multivariable logistic regression analysis to identify factors that predicted each ischemic and hemorrhagic stroke. All analyses were carried out in STATA 14.2/MP (StataCorp, LLP, College Station, TX, USA).

Cho S.M., Canner J., Chiarini G., Calligy K., Caturegli G., Rycus P., Barbaro R.P., Tonna J., Lorusso R., Kilic A., Choi C.W., Ziai W., Geocadin R, & Whitman G. (2020). Modifiable Risk factors and mortality from ischemic and hemorrhagic strokes in patients receiving veno-arterial extracorporeal membrane oxygenation: Results from the Extracorporeal Life Support Organization Registry. Critical care medicine, 48(10), e897-e905.

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Evaluating Student Clinical Experiences

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Inclusion criteria for this analysis consisted of the following: (1) student provided informed consent for research, (2) successful program graduation, and (3) data audit by the instructor was performed and deemed acceptable.
Students with < 10 patient encounters were presumed to have been erroneously marked as audited with good data and excluded from the analysis. Records with missing or invalid age were removed from the age‐specific analysis.
Descriptive statistics were calculated. The distribution of all continuous variables was assessed using visual inspection of histograms and measurement of skewness. Skewness of 0.5 or higher was observed and non‐parametric statistics are reported. Categorical variables are summarized using frequencies and percentages for categorical variables and medians with interquartile ranges (IQR) are presented for non‐normally distributed continuous variables. Analyses were stratified by encounter setting (hospital or field). To account for the potential variability over time, a non‐parametric test of trend was used to evaluate for monotonic increase or decrease in the number of patient encounters and hours per student annually throughout the study period. All analyses were performed using STATA 14.2MP (STATA corporation, College Station, Texas, USA).

Page D., Brazelton T., Kokx G., Jennings P.A, & Williams B. (2021). Paramedic student encounters with patients during clinical placements: A multi‐institutional cohort study. Journal of the American College of Emergency Physicians Open, 2(2), e12391.

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RNA-Seq analysis of cell lines

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Total RNA was isolated from cell lines and prepared by TruSeq. We performed RNA sequencing (RNA-seq) with an Illumina HiSeq 2500 (Illumina, San Diego, CA). Resultant stranded paired-end 100-bp sequences were mapped to the hg19 human genome with the STRONGARM pipeline developed for the Pediatric Cancer Genome Project^{34 (link)} and counted with HTSEQ^{35 (link)}. Statistical testing to determine differential expression was performed in R by using the voom and limma packages. By using our rnapeg in-house tool, exon junction reads were extracted to visualize alternative splicing and select differential junctions and to supplement multivariate analysis of transcript splicing (MATS) 3.0.8 (python 2.7.2)³⁶. Results with a false discovery rate less than 5% in MATS analyses were tested for category enrichment with Enrichr^{37 (link),38 (link)}. Scatterplots, pie charts, and bar charts were produced in STATA 14.2/MP (College Station, TX). Principle component analyses and heat maps were produced with Partek Genomics Suite 6.6 (St Louis, MO). GO analysis was done with Gene Ontology enRIchment anaLysis and vizuaLizAtion tool (Gorilla)^{39 (link)}.

Li Y., Bakke J., Finkelstein D., Zeng H., Wu J, & Chen T. (2018). HNRNPH1 is required for rhabdomyosarcoma cell growth and survival. Oncogenesis, 7(1), 9.

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Mortality Analysis of Asbestos Exposure

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The standardized mortality ratio (SMR) was calculated with its 95% confidence interval (CI) for the whole city, and the long‐term residents’ cohort compared to the short‐term residents according to all‐cause deaths, lung cancer, and mesothelioma, by dividing the number of observed deaths by the number of expected deaths that would have occurred. The expected number of deaths was calculated using the Japanese annual sex‐ and age‐specific death rates. These death rates were calculated by dividing the number of deaths by the national population within each 5‐year age group and sex category for a calendar year. Both national population and number of deaths were available from the Portal Site of Official Statistics of Japan (e‐Stat), also known as a portal site of Japanese Government Statistics. The 95% CIs for SMRs were calculated using the Poisson distribution to determine upper and lower band multipliers applied to the SMR.
In addition, the follow‐up was divided into 3 analysis periods: 2002‐2006 (5 years), 2007‐2011 (5 years), and 2012‐2015 (4 years).
Stata 14.2/MP (StataCorp, College Station, TX, USA) was used for all statistical analyses, and the level of significance was set at P‐value of <.05. Informed consent was waived because official data were used. The study protocol was approved by the Institutional Review Board of Osaka University (Suita, Japan).

Zha L., Kitamura Y., Kitamura T., Liu R., Shima M., Kurumatani N., Nakaya T., Goji J, & Sobue T. (2019). Population‐based cohort study on health effects of asbestos exposure in Japan. Cancer Science, 110(3), 1076-1084.

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Trends in Older Adults Kidney Transplant

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Cuzick test of trend was used to compare changes in number of older adults with prior nkSOT who underwent subsequent KT over the study period. Comparison of donor and recipient characteristics were performed using chi-squared test for categorical variables and t-tests for continuous variables. All analyses were two-tailed and α was set at 0.05. All analyses were performed using Stata 14.2/MP (College Station, Texas).

Haugen C.E., Luo X., Holscher C.M., Bowring M.G., DiBrito S.R., Garonzik-Wang J., McAdams-DeMarco M, & Segev D.L. (2019). Outcomes in Older Kidney Transplant Recipients after Prior Non-Kidney Transplants. Transplantation, 103(11), 2383-2387.

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Comparative Analysis of Study Cohorts

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Comparison of candidate characteristics was performed using chi-squared test for categorical variables and t tests or Wilcoxon rank sum for continuous variables. All analyses were 2-tailed and a was set at 0.05. All analyses were performed using Stata 14.2/MP (College Station, TX).

Haugen C.E., McAdams-DeMarco M., Holscher C.M., Ying H., Gurakar A.O., Garonzik-Wang J., Cameron A.M., Segev D.L, & Lai J.C. (2020). Multicenter Study of Age, Frailty, and Waitlist Mortality Among Liver Transplant Candidates. Annals of surgery, 271(6), 1132-1136.

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