Intercooled stata

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Intercooled Stata is a high-performance statistical software package designed for data analysis, management, and visualization. It provides a comprehensive set of tools for researchers, analysts, and professionals in various fields. The core function of Intercooled Stata is to facilitate efficient and reliable data processing, statistical modeling, and reporting.

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17 protocols using intercooled stata

Venue-Level Analysis of HIV Status

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The unit of analysis was the venue. The outcome of interest was venue HIV status, whether or not any HIV cases were identified at that venue. The means and prevalence rates of participant self-reported characteristics and behaviors and the presence or absence of venue-based activities were calculated for each venue. For example, venue-level recent parenteral risk was calculated by dividing the number of participants at a given venue reporting recent parenteral risk by the total number of participants recruited at that venue. Bivariate associations between venue HIV status (positive vs. negative) and the venue-level means of participant demographic characteristics venue-level prevalences of high HIV-risk sexual and parenteral transmission behaviors were determined using a t-test or chi-square test as appropriate.
Multivariable logistic regression models were used to determine the association between venue HIV status (dependent variable) and high-HIV-risk behaviors and venue-based activities (independent variables). Multivariable models were adjusted for age according to our hypothesis that the likelihood of HIV infection and behavioral risk would increase with age. All statistical procedures were performed using STATA (STATA Intercooled, version 11.0; STATA Corp., College Station, TX).

Polk S., Ellen J.M., Fichtenberg C., Huettner S., Reilly M., Parekh J, & Jennings J.M. (2014). Identifying and characterizing places for the targeted control of heterosexual HIV transmission in urban areas. AIDS and behavior, 18(8), 1476-1482.

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Morris Water Maze Analysis Approach

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Evaluation of Morris water maze data was performed using a multivariable Cox regression time to event approach in STATA Intercooled (10.0; StataCorp), applied with frailty models to deal with repeated measures. The event was defined as the rat finding the platform and the time to event was defined as the latency to find the platform. The independent predictor variables tested included day of testing (days 1, 2, 3 or 4), MAM administration (yes or no), seizures (yes or no), swimming speed (continuous variable), age at start of testing and interaction terms. Latency to seizure measures were evaluated using a Student’s t test. Generalized estimating equation multivariable regression methods were used to evaluate path efficiency as these methods allow the assumptions of the most appropriate distribution and allow adjustment for repeated measures.

Jellett A.P., Jenks K., Lucas M, & Scott R.C. (2014). Standard dose Valproic acid does not cause additional cognitive impact in a rodent model of intractable epilepsy. Epilepsy research, 110, 88-94.

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Multimodal Neuroimaging Protocol

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Patient data were deidentified during entry into the study database (Open Data Kit). Data analysis was undertaken using Intercooled STATA (version 13.0, StataCorp LP). The outcome of interest was findings on MRI. EEG report findings and clinical details were appropriately categorized for analysis. Kappa inter-rater statistics was applied to compare imaging findings between the two radiologists. Most of the data were categorical, and these were analyzed using chi-square test to determine significant associations with abnormal imaging findings. Multivariable logistic regression was applied to identify clinical and EEG findings that were independently associated with positive findings on MRI.

Samia P., Odero N., Njoroge M., Ochieng S., Mavuti J., Waa S, & Gwer S. (2021). Magnetic Resonance Imaging Findings in Childhood Epilepsy at a Tertiary Hospital in Kenya. Frontiers in Neurology, 12, 623960.

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Identifying Barriers and Motivators for Private Hospitals' Engagement in TB Care

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A coding scheme through an initial review of transcripts was developed and an inductive content analysis approach (Hsieh & Shannon, 2005 (link)) was used to generate themes and subthemes from the codebook. Qualitative categories from several sections of the texts from the transcripts about the barriers and motivators to private hospitals’ engagement in TB care were extracted. The codebook was reviewed by AM for ensuring that content was relevant to the barriers to and motivators for private hospitals engagement in TB care were extracted. WT assembled the codebook following an iterative approach that included category construction of codes to represent the content, writing the operational definitions, and elaborations. Differences in the coding were harmonized by the investigator to come up with a final codebook. Intercooled STATA (Statacorp 2013 Stata Statistical Software Release 13; StataCorp, College Station, TX, USA) was used to describe study participants’ characteristics.

Tumuhimbise W, & Musiimenta A. (2021). Barriers and Motivators of private hospitals’ engagement in Tuberculosis care in Uganda. Global implementation research and applications, 1(4), 279-290.

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Statistical Analysis of Biomedical Data

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The data were analyzed with the statistical package “Intercooled Stata” version 12.2 (StataCorp, Texas). The normal distribution of continuous variables was examined with Shapiro–Wilk’s test. Geometric means (95% confidence intervals [CIs]) are presented where the underlying data were skewed. Comparison of means was assessed using t test or ANOVA. Chi-square test was used to compare proportions. Correlations between continuous variables used Spearman coefficients.
Logistic regression was used to assess associations. Model numbers varied depending on the variables included, with any missing values causing the participant to be dropped from the model. Not all measurements were obtained on all individuals, accounting for slight differences in the number of individuals included in the models.

Heald A.H., Anderson S.G., Scargill J.J., Short A., Holland D., Khan A., Fryer A.A., Donn R.P, & Livingston M. (2017). Social Disadvantage Is Associated With Lower Vitamin D Levels in Older People and There Is No Surrogate for Its Measurement. Gerontology and geriatric medicine, 3, 2333721417697843.

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Analyzing anthelmintic treatment outcomes

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Statistical analysis included descriptive statistics and the analysis of the variation in 4 parameters following anthelmintic treatment. These variables were the clinical score (see above), the level of blood eosinophilia and serum total IgE, and the result from immunodiagnosis, either by IFAT or ELISA. The statistical package Intercooled Stata™ (StataCorp LLC, College Station, TX, USA) was used for statistical analysis. A comparison of the studied parameters was made by the Wilcoxon signed-rank test or Cochran’s Q test as appropriate. Since the Wilcoxon test is not parametric, only the median and the interquartile range [IQR] values, and not the mean and standard deviation values, of continuous variables were displayed in tables.

Magnaval J.F., Fillaux J., Fabre R., Cassaing S., Valentin A., Iriart X, & Berry A. (2023). Epidemiological, Clinical and Laboratory Features of Strongyloidiasis in 69 Attendees at a French Outpatient Clinic. Pathogens, 12(8), 983.

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HEV Seroprevalence and Disease Progression

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Analyses were performed using the SPSS software (SPSS Statistics, IBM, Armonk, NY) and Intercooled Stata (Stata Corporation, College Station, TX, USA). Prevalences and quantitative variables are given as percentages and medians with ranges. Categorical variables were compared applying Chi square or Fisher's exact tests. Kruskal–Wallis or Mann–Whitney U tests were used to compare quantitative variables. A logistic regression model was used to compare HEV seroprevalences between groups and to analyze associations of HEV seroprevalences with disease progression. Odds ratios (OR) and 95% confidence intervals (CI) were calculated. The level of significance was P < 0.05.

Hoan N.X., Tong H.V., Hecht N., Sy B.T., Marcinek P., Meyer C.G., Song L.H., Toan N.L., Kurreck J., Kremsner P.G., Bock C.T, & Velavan T.P. (2015). Hepatitis E Virus Superinfection and Clinical Progression in Hepatitis B Patients. EBioMedicine, 2(12), 2080-2086.

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Survival Analysis in Pediatric ALL

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Survival analysis was restricted to patients enrolled in UKALL14 because all these patients received similar intensive treatment with curative intent.²² Patients were grouped according to primary chromosomal abnormalities as described previously.²³ Briefly, patients with complex karyotypes, HoTr or JAK-STAT activating rearrangements were classed as very high risk; patients with any KMT2A fusions were classed as high risk; patients with BCR-ABL1 and other kinase-activating fusions were classed as having tyrosine kinase-activating (TKA) abnormalities; all other BCP-ALL patients were classed as standard risk; and TALL patients were analyzed separately. All P-values were two-sided and, because of multiple testing, values <0.01 were considered statistically significant. All analyses were performed using Intercooled Stata (StataCorp, College Station, TX, USA) and R version 3.4.3 (http://www.R-project.o rg).

Creasey T., Barretta E., Ryan S.L., Butler E., Kirkwood A.A., Leongamornlert D., Papaemmanuil E., Patrick P., Clifton-Hadley L., Patel B., Menne T., McMillan A.K., Harrison C.J., Rowntree C.J., Morley N., Marks D.I., Fielding A.K, & Moorman A.V. (2021). Genetic and genomic analysis of acute lymphoblastic leukemia in older adults reveals a distinct profile of abnormalities: analysis of 210 patients from the UKALL14 and UKALL60+ clinical trials. Haematologica, 107(9), 2051-2063.

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Echocardiographic Predictors of LV Stroke Volume

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Continuous data are described as median, interquartile range (from the 25th to the 75th percentile). Discrete data are given as counts and percentages. Continuous variables were compared between groups using a two-sample Mann–Whitney U test or Kruskal–Wallis test in the case of more than two groups. A χ² test was used for discrete data. Linear regression models were fitted to assess the impact of echo parameters on the change of left ventricular stroke volume. Clinically significant effect modifiers were accounted for by applying a multivariate regression model. As this was a hypothesis-generating study, no adjustment for multiple testing was done. Lower p-values indicate a stronger trend of association. All calculations were performed with the software package Intercooled STATA (release 14.0, StataCorp LP, Texas, USA).

Blessberger H., Kammler J., Kellermair J., Kiblboeck D., Nahler A., Hrncic D., Saleh K., Schwarz S., Reiter C., Fellner A., Eppacher C., Sheldon T.J, & Steinwender C. (2023). Impact of pacing mode and different echocardiographic parameters on cardiac output (PADIAC). Frontiers in Cardiovascular Medicine, 10, 1185518.

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TPN-Based Targeted Gene Knock-In Optimization

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All statistical analyses were performed using Intercooled Stata (StataCorp, College Station, TX, USA). One-way analysis of variance (ANOVA) with post hoc Bonferroni tests were performed to assess association between the lengths of homologous regions and the efficiency of TPN-based targeted knock-in (Fig. 1), association between the concentrations of plasmids used and the efficiency of TPN-based targeted knock-in (Fig. 5), and association between the use of the gN₁₉ versions of PIGA sgRNAs #1 and #4 and the efficiency of TPN-based targeted knock-in (Fig. 6d). Differences in DNA cleaving activity among Cas9 nucleases designed against PIGA (Supplementary Fig. S2) were also assessed using one-way ANOVA. Wilcoxon rank-sum tests were applied to assess the significance of multiple experimental factors in the rNCO assays performed by nicking two closely located positions (Fig. 3 and Supplementary Fig. S4). A two-tailed unpaired t-test was performed to compare the gN₁₉ and gN₂₀ versions of PIGA sgRNA #2 for their capacity to facilitate TPN-based targeted knock-in (Fig. 6d). In all analyses, p-values of < 0.05 were considered statistically significant.

Rahman M.L., Hyodo T., Karnan S., Ota A., Hasan M.N., Mihara Y., Wahiduzzaman M., Tsuzuki S., Hosokawa Y, & Konishi H. (2021). Experimental strategies to achieve efficient targeted knock-in via tandem paired nicking. Scientific Reports, 11, 22627.

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