Stata ic v 13

Manufactured by StataCorp

Sourced in United States

STATA/IC V.13.1 is a statistical software package developed by StataCorp. It provides a comprehensive set of tools for data analysis, management, and presentation. The software is designed to handle a wide range of data types and supports a variety of statistical procedures, including regression analysis, time series analysis, and survey data analysis.

Automatically generated - may contain errors

Lab products found in correlation

Prism 7, by GraphPad (2 mentions) Sas v9, by StataCorp (1 mentions)

Close spelling variants of this product

STATA/IC (V.13.0; Stata/IC 13.1 IC V.13 Stata V.13 Stata/IC Stata 13 Stata

20 protocols using stata ic v 13

Coronary Flow Reserve Predictors

Check if the same lab product or an alternative is used in the 5 most similar protocols

Continuous normally distributed data are presented as mean (SD) and non-normally distributed data as median (IQR). Comparison across groups were performed by age-adjusted linear or logistic regression analysis for continuous and categorical outcome variables, respectively. To explore predictors of reduced CFVR, age-adjusted multivariable linear regression analyses were performed with logarithmically transformed CFVR as continuous outcome variable. Variables with significantly different distribution across groups were tested as potential determinants of CFVR and discarded if p>0.05. CI refers to 95% CIs. To evaluate the distribution of independent variables across CMD groups, age-adjusted trend tests by logistic or linear regression analysis were performed.
Missing values in the SAQ were imputed according to a validated scoring system described in detail by Kimble et al, 2012 (online supplemental reference 3). In a subanalysis, we excluded participants aged more than 62 years to detect a possible association between CFVR and angina symptoms in younger women who often have more characteristic symptoms.
All statistical analyses were performed with STATA/IC V.13.1 (StataCorp LP).

Bove K.B., Michelsen M.M., Schroder J., Suhrs H.E., Bechsgaard D.F., Mygind N.D., Aziz A., Kastrup J., Gustafsson I, & Prescott E. (2021). Impaired coronary flow velocity reserve is associated with cardiovascular risk factors but not with angina symptoms. Open Heart, 8(1), e001486.

+ Open protocol

+ Expand

Trajectories of Recovery After Traumatic Brain Injury

Check if the same lab product or an alternative is used in the 5 most similar protocols

Group-based trajectory modeling (GBTM), a specialized form of finite mixture modeling not requiring complete data across all time points (Nagin, 2005 ) was used to investigate recovery trajectories over 2 years post-TBI. For a hypothesized number of underlying latent groups, it uses maximum likelihood estimation to identify distinctive clusters of individuals following similar trajectories for a nominated outcome, the ‘primary outcome’, outlines the shape of each trajectory, size of each group, and profiles the characteristics of individuals within trajectory groups. All analyses were conducted in STATA/ICv13.1 (StataCorpLLC), and GBTM using the traj plugin. Alpha was set to 0.05.
Model selection comprised two stages (i) identifying an optimal number of trajectory groups; and (ii) determining preferred polynomial orders specifying the shape of identified trajectories. The best-fitting models were determined for two to five groups, and then were compared on Bayesian Information Criterion (lowest), the parsimony of models (log-likelihood), entropy (>0.8), and fit with the prior theory.
Factors relating to trajectory group membership were investigated using analysis of variance (ANOVA) for continuous variables or chi-squared/Fisher's exact test for categorical variables. Bonferroni adjustment pairwise comparisons were carried out between groups.

Anderson V., Hearps S.J., Catroppa C., Beauchamp M.H, & Ryan N.P. (2022). What predicts persisting social impairment following pediatric traumatic brain injury: contribution of a biopsychosocial approach. Psychological Medicine, 53(8), 3568-3579.

+ Open protocol

+ Expand

Weighted Cessation Measures and SES

Check if the same lab product or an alternative is used in the 5 most similar protocols

All analyses were conducted using Stata/IC v. 13.1 and procedures that took the study design into account. We weighted the data to adjust for differential sampling rates within each telephone bank and for the number of telephones and adults in the household, and to ensure that the distribution of participants matched that for Alaska adults not living in institutional settings, based on the Alaska Department of Labor and Workforce Development, Research and Analysis population estimates (Population Estimates, 2010 ). In addition to weighting for sampling design factors, data were weighted using iterative proportional fitting, or “raking,” a procedure used for BRFSS. This method allows for adjustment by multiple demographic factors, including education level, marital status, and renter/owner status, as well as region, gender, age, and race/ethnicity.
We used chi-square tests to compare low SES and higher SES participants with respect to demographic and cessation measures. We also used binary and multinomial logistic regression modeling to assess the effect of age, gender, marital status or presence of children in the home on the observed association between each cessation measure and SES. Statistical significance was based on a p value < .05.

Pizacani B., Pickle K., Maher J., Rohde K, & Fenaughty A. (2018). Smoking cessation patterns by socioeconomic status in Alaska. Preventive Medicine Reports, 10, 24-28.

+ Open protocol

+ Expand

Mortality Factors in Cancer Patients

Check if the same lab product or an alternative is used in the 5 most similar protocols

SEER*STAT v8.3.5 was used to extract case-level data and Stata/IC v13.1 was used for data analyses. Frequencies, proportions, and measures of central tendency were used to describe the data. For bivariate analyses, categorical data were analyzed using the Chi-square test and Fisher’s exact test. Factors associated with all-cause mortality were estimated using multivariate regression. We also included in the model gender, tumor location, radiation, SEER registry, and year of diagnosis. Statistical tests were two-tailed, and P < .05 was considered statistically significant.

Elsamadicy A.A., Koo A.B., David W.B., Lee V., Zogg C.K., Kundishora A.J., Hong C.S., DeSpenza T., Reeves B.C., Kahle K.T, & DiLuna M. (2020). Comparison of epidemiology, treatments, and outcomes in pediatric versus adult ependymoma. Neuro-oncology Advances, 2(1), vdaa019.

+ Open protocol

+ Expand

Evaluating Flipped Classroom Approach in Medical Education

Check if the same lab product or an alternative is used in the 5 most similar protocols

Statistical analysis was performed using Stata/IC v13.1 (Stata Corp., Cary, NC, © 2014). Descriptive statistics were performed of the entire population and by the intervention group (i.e., flipped vs. online-only). Unpaired student t-tests were used to compare continuous variables; chi-square and Fisher’s exact test for categorical variables. Comparison of baseline, follow up clinical reasoning knowledge exam, NBME exam, and satisfaction scores between both groups were performed by un-paired student t-test. Univariate linear regression was used to determine variables that were significantly associated with differences in NBME shelf exam performance and clinical reasoning examination performance by the intervention group. Multivariable linear regression was performed to account for potential differences in baseline knowledge, adjusting for baseline exam performance. Assumptions of linear regression analysis were checked including linearity, homoscedasticity, independence, and normality. The effect size was calculated using Cohen’s d for comparisons of means by intervention group, eta-squared (η²) for estimating the variance when controlling for baseline exam performance. Pre-determined significance was defined as p < 0.05.

Paul A., Leung D., Salas R.M., Cruz T.E., Abras C., Saylor D., Gugliucciello V., Nunn J., Gamaldo C.E, & Strowd R.E. (2022). Comparative effectiveness study of flipped classroom versus online-only instruction of clinical reasoning for medical students. Medical Education Online, 28(1), 2142358.

+ Open protocol

+ Expand

Complex Survey Data Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

All statistical analyses were conducted using Stata/IC V13.1 (Stata Corporation, College Station, Texas, USA) and controlled for the complex survey strategy employed in the 2008 HSE (primary sampling units, clustering and survey weights) [11 , 37 ]. Interview weights, which adjusted for: household selection; non-response bias; age; sex; and regional profiles, were applied in order to produce estimates representing the national population. Nurse weights (generated from interview weights) were utilised to further reduce non-response bias arising from individuals who were interviewed but did not have a nurse visit. Blood weights (generated from nurse weights) were utilised to analyse the blood related variables.

Bakrania K., Edwardson C.L., Bodicoat D.H., Esliger D.W., Gill J.M., Kazi A., Velayudhan L., Sinclair A.J., Sattar N., Biddle S.J., Khunti K., Davies M, & Yates T. (2016). Associations of mutually exclusive categories of physical activity and sedentary time with markers of cardiometabolic health in English adults: a cross-sectional analysis of the Health Survey for England. BMC Public Health, 16, 25.

+ Open protocol

+ Expand

PLCO Prostate Cancer Screening Outcomes

Cited 1 time

Check if the same lab product or an alternative is used in the 5 most similar protocols

We examined 13-year prostate cancer screening and outcomes data from the PLCO Cancer Screening Trial. The design of the PLCO trial and prostate cancer death determination has been previously described [3 (link), 4 (link), 8 (link)]. Data was obtained from the National Cancer Institute (NCI). Analysis was limited to the screening arm of the trial. Due to withdrawal of some participants the total number in the screening arm in our dataset was 38,340 as compared to 38,343 in the 2009 trial report [3 (link)]. Due to reclassification of some events based on updated data or additional review the number of deaths decreased slightly from the published 13 year outcomes data, with 151 deaths in the screening arm and 146 in the control arm [9 ]. STATA IC v. 13.1 was used for all analyses. P values were generated by Kruskal-Wallis one-way analysis of variance where median and IQR are denoted, by Pearson's chi-squared test where N (%) are shown, absent missing data. A waiver was obtained from the Institutional Review Board at Weill Cornell Medical College as data was de-identified.

Shoag J., Mittal S., Halpern J.A., Scherr D., Hu J.C, & Barbieri C.E. (2016). Lethal prostate cancer in the PLCO cancer screening trial. European urology, 70(1), 2-5.

+ Open protocol

+ Expand

Descriptive Statistics and Nonparametric Tests

Check if the same lab product or an alternative is used in the 5 most similar protocols

Frequencies (with percentages) were used to describe the categorical variables. Descriptive statistics of the median and interquartile range were used for continuous variables. Mann–Whitney U test and Fisher’s exact test were used for continuous data as needed. All statistical testing was performed in Stata/IC v.13.1 (Stata Corp, College Station, TX, USA) and statistical significance was assumed at a two-sided alpha of 0.05.

Emanuel H., Breitschopf H.V., Harting M.T., Martinez Castillo D.J., Yadav A., McBeth K., Hashmi S.S., Ebanks A.H., Harris T.S., Lally K.P., Jon C.K., Stark J.M, & Mosquera R.A. (2023). Pulmonary outcomes of congenital diaphragmatic hernia patients based on defect size (CDH Study Group Stage). Translational Pediatrics, 12(8), 1490-1503.

+ Open protocol

+ Expand

Rheumatoid Arthritis Radiographic Progression

Check if the same lab product or an alternative is used in the 5 most similar protocols

STATA/IC V.13.1 was used. Descriptive statistics were performed, (non) parametrically when appropriate. Univariate and multivariate analyses were performed with cumulative incidence and number of short-lived and major flares per patient, MTW-DAS28-CRP and TNFi use as independent variables. The radiographic progression yes/no (ΔSvdH >0.5; logistic regression) and mean ΔSvdH (linear regression) were used as dependent variables. Possible confounders that were checked were: age, sex, body mass index, smoking, baseline SvdH score, DAS28-CRP, CRP, rheumatoid factor, anticitrullinated protein antibody status, oral glucocorticoid use and intramuscular or intra-articular glucocorticoid injections, number of glucocorticoid injections per patient and synthetic disease-modifying antirheumatic drug use. To check for effect modification, all analyses were performed stratified by allocation group (tapering or UC).

Bouman C.A., den Broeder A.A., van der Maas A., van den Hoogen F.H., Landewé R.B, & van Herwaarden N. (2017). What causes a small increase in radiographic progression in rheumatoid arthritis patients tapering TNF inhibitors?. RMD Open, 3(1), e000327.

+ Open protocol

+ Expand

Hierarchical Analysis of Polyp Characteristics

Check if the same lab product or an alternative is used in the 5 most similar protocols

Test performance was estimated using proportions with CIs (Clopper–Pearson) using STATA IC V.13.1 StataCorp. Exploration of variables at polyp level was performed using xtlogit, where proportions were estimated from models using reported ORs. Modelling provided a hierarchical structure of polyp within patient; population average estimates were used (to prevent overweighting by patients with more numerous polyps) and reported using robust SEs.

Rees C.J., Rajasekhar P.T., Wilson A., Close H., Rutter M.D., Saunders B.P., East J.E., Maier R., Moorghen M., Muhammad U., Hancock H., Jayaprakash A., MacDonald C., Ramadas A., Dhar A, & Mason J.M. (2016). Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study. Gut, 66(5), 887-895.

+ Open protocol

+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!