Log In Sign up
The largest database of trusted experimental protocols

Stata mp 14

Manufactured by StataCorp
Visit Supplier
Sourced in United States, United Kingdom

Stata/MP 14.0 is a powerful data analysis and statistical software package developed by StataCorp. It is designed to handle large and complex datasets, providing efficient parallel processing capabilities to accelerate computations. Stata/MP 14.0 offers a comprehensive suite of statistical tools and modeling techniques, enabling users to analyze, visualize, and interpret their data effectively.

Automatically generated - may contain errors

Lab products found in correlation

Rneasy plus mini kit, by Qiagen (2 mentions) Sas 9, by SAS Institute (2 mentions) Prism 7, by GraphPad (2 mentions) Prism 9, by GraphPad (2 mentions) Prism 6, by StataCorp (2 mentions) Stata 14, by StataCorp (1 mentions) Matlab r2020, by MathWorks (1 mentions) Stata, by StataCorp (1 mentions) Spss statistics 25, by IBM (1 mentions) Epidata version 3, by StataCorp (1 mentions) Review manager 5, by StataCorp (1 mentions) Spss 26, by IBM (1 mentions) Trizol reagent, by Thermo Fisher Scientific (1 mentions) Microsoft excel 2019, by StataCorp (1 mentions) Excel 2010, by IBM (1 mentions) Spss statistics 19, by IBM (1 mentions) Matlab, by MathWorks (1 mentions) Spss statistics software version 23, by IBM (1 mentions) Prism 6, by GraphPad (1 mentions) Ms excel 2007, by StataCorp (1 mentions)

Spelling variants of this product

Stata 14 (5026 citations) Stata (4799 citations) Stata MP (100 citations) Stata 14.0/MP for Linux (14 citations) STATA 14.2/MP (9 citations) STATA/MP 14 for Windows (2 citations) Stata version 14.2 MP (2 citations) Stata/MP ver.14.0 (2 citations) STATA V.14.0 MP (2 citations) Stata version 14.0 MP (2 citations)

279 protocols using stata mp 14

1

Meta-analysis of Implant Survival Rates

Check if the same lab product or an alternative is used in the 5 most similar protocols
Stata MP 14.1 software was applied to process the meta-analysis, randomized model was applied to process the meta-analysis, with heterogeneity indicated by I-square values. To include studies having a 100% implant survival rate, we modified the rates with the formula: [modified survival rate = (number of survived implants − 0.25)/(number of total implants) *100%] in Stata MP 14.1. Considering the data of ISR, MBL and ESBG were based on the 1-year follow-up in majority of the literature, the 1-year post-surgical data of these parameters were considered in the meta-analysis. Moreover, to investigate the clinical reliability of non-grafted TSFE in cases with limited RBH, study on 1-year ISR of non-grafted TSFE was performed among its subgroups with varied RBH values.
Guo T., Gulati K., Shen Z., Han P, & Fan Z. (2020). Therapeutic outcomes of non-grafted and platelet concentrations-grafted transcrestal maxillary sinus elevation (TSFE): a systematic review and meta-analysis. Scientific Reports, 10, 5935.
+ Open protocol
+ Expand
2

Analyzing Intestinal Oocyst Counts in Turkeys

Check if the same lab product or an alternative is used in the 5 most similar protocols
The experimental unit was pooled samples of intestinal contents from turkey groups defined during the analyses of relationships between study variables and severe intestinal lesions (see above, and Tables 2, 3 and 4). Pooled samples were used to analyse the impact of independent variables on OPG counts. OPG was a secondary (continuous) outcome variable. Oocyst counts were log10-transformed. Outcome estimates were reported as median log10 OPG counts.
The distribution of OPG counts within each turkey group was in most cases non-normal (Shapiro-Wilk normality test, swilk procedure in Stata 14.2). OPG data were therefore analysed using non-parametric statistical methods. Kruskal-Wallis rank test (kwallis procedure, Stata/MP 14.2) was used to compare two groups, while Dunn’s test with Bonferroni adjustment (dunntest procedure, Stata/MP 14.2) was used for multiple comparisons. P-values below 0.05 were considered statistically significant.
Hardy S.P., Benestad S.L., Hamnes I.S., Moldal T., David B., Barta J.R., Reperant J.M, & Kaldhusdal M. (2020). Developing an experimental necrotic enteritis model in turkeys - the impact of Clostridium perfringens, Eimeria meleagrimitis and host age on frequency of severe intestinal lesions. BMC Veterinary Research, 16, 63.
+ Open protocol
+ Expand
3

Analyzing Factors Associated with Skin Cancer

Check if the same lab product or an alternative is used in the 5 most similar protocols
Stata/MP14.1 (Stata Corp. Stata Statistical Software: Release 14) was used for descriptive and inferential analyses. The Shapiro–Wilk test was used to assess normality of distribution. Mean with standard deviation (SD) values were used to present normally distributed data. Chi-square tests were used for analysis of categorical outcomes. The Mann–Whitney U test was performed to compare nonparametric data between groups. Multivariable logistic regression analysis was performed separately to assess factors associated with LR in the BCC and SCC groups. A p-value less than 0.05 was accepted as significant.
ÖZKAN B., SAVRAN S., AKINCI K., ALBAYATİ A., İNCEL UYSAL P, & UYSAL Ç.A. (2023). The effect of hydrochlorothiazide on the recurrence of nonmelanoma skin cancer: a 7-year retrospective study comprising 300 patients. Turkish Journal of Medical Sciences, 53(3), 752-760.
+ Open protocol
+ Expand
4

Impact of Nursing Visits on Hospice Disenrollment

Check if the same lab product or an alternative is used in the 5 most similar protocols
We performed descriptive statistics and compared cohorts of low (>0 to <3) and high (3+) average nursing visits per week using χ2 tests for categorical variables and Wilcoxon rank sum tests for continuous variables to assess whether there were differences between the groups. Bivariate analyses were conducted to identify variables associated with hospital-related disenrollment. Covariates that were associated with hospital-related disenrollment (P value <.2) were entered into a multivariable logistic regression model and an area under the receiver–operating curve was calculated. Given the use of average number of nursing visits, we performed 2 sensitivity analyses. One excluded patients with a length of stay less than 7 days since these enrollments may have an inflated number of average nursing visits per week that may confound the results (eg, a patient on hospice for 1 day with 1 nursing visit would have an average of 7 nursing visits per week). The second excluded home hospice patients who also received CHC, GIP care, and/or respite care, which indicate an increased intensity of home hospice care that may influence our outcome of interest. We also examined the 2-way interactions between weekly nursing visits and each of the other independent variables. Statistical analysis was conducted using STATA MP 14.1 (College Station, Texas).
Phongtankuel V., Adelman R.D., Trevino K., Abramson E., Johnson P., Oromendia C., Henderson CR J.r, & Reid M.C. (2017). Association Between Nursing Visits and Hospital-Related Disenrollment in the Home Hospice Population. The American journal of hospice & palliative care, 35(2), 316-323.
+ Open protocol
+ Expand
5

Binomial Seroprevalence Estimation

Check if the same lab product or an alternative is used in the 5 most similar protocols
The seroprevalence was estimated with a Binomial exact distribution and computed in Stata/MP 14.1 (StataCorp, 2015) .
Ron-Román J., Berkvens D., Barzallo-Rivadeneira D., Angulo-Cruz A., González-Andrade P., Minda-Aluisa E., Benítez-Ortíz W., Brandt J., Rodríguez-Hidalgo R, & Saegerman C. (2017). The unexpected discovery of Brucella abortus Buck 19 vaccine in goats from Ecuador underlines the importance of biosecurity measures. Tropical animal health and production, 49(3).
+ Open protocol
+ Expand
6

Chemsex and Slamsex Epidemiology in MSM

Check if the same lab product or an alternative is used in the 5 most similar protocols
All analyses and data cleaning were conducted in stata/mp 14.1 (StataCorp MP College Station, Texas, USA) and missing data were assumed to be missing at random. The weighted prevalence of chemsex and slamsex in sexually active MSM was calculated overall, and for each chemsex drug, with 95% confidence intervals (CIs). We tested if chemsex and slamsex use differed by various socio‐demographic factors and health indicators using a two‐tailed χ2 statistic, and considered differences to be statistically significant at P < 0.05.
We assessed the associations of chemsex and slamsex with UAI, sdUAI, sdUAI with a detectable viral load, and diagnosis with bacterial STIs and hepatitis C using multivariable logistic regression. The associations between chemsex/slamsex and number of casual sexual partners were assessed using multivariable linear regression. All multivariable models were constructed using directed acyclic graphs (Figure S1) to determine which variables to control for 27, 28, 29, 30, 31. All regressions were assessed for statistical significance with an alpha level of 5%.
Pufall E., Kall M., Shahmanesh M., Nardone A., Gilson R., Delpech V, & Ward H. (2018). Sexualized drug use (‘chemsex’) and high‐risk sexual behaviours in HIV‐positive men who have sex with men. HIV Medicine, 19(4), 261-270.
+ Open protocol
+ Expand
7

Analyzing Wild Boar Infection Factors

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data analyzed using Stata/MP 14.1. Correlations between infection and wild boars’ age and sex were determine using Fisher’s exact test. Bivariate logistic regression was used to assess associations between infection and the animals’ characteristics. Odds ratios (OR) and 95 % confidence intervals (CI) were calculated and p < 0.05 was considered to be statistically significant.
Belov Y.A., Tabakaeva T.V., Pankratov D.V., Shchelkanov E.M., Surovyi A.L., Popov I.A., Tabakaev A.V., Zheleznova L.V., Galkina I.V, & Shchelkanov M.Y. (2022). Endoparasites of Wild Boars (Sus Scrofa) in Primorsky Krai, Russia. Helminthologia, 59(2), 165-169.
+ Open protocol
+ Expand
8

Statistical analysis of acute versus stable disease

Check if the same lab product or an alternative is used in the 5 most similar protocols
Comparisons between groups were made employing unpaired t-tests and one-way analysis of variance (ANOVA) for normally distributed data or Mann–Whitney and Kruskal–Wallis testing for non-parametric data. Chi-square analyses were used for categorical data. Blood and questionnaire results from acute versus stable disease state were analysed via Pearson correlation coefficients. Time-to-event survival analyses were conducted using Kaplan–Meier methods and log-rank tests. Data are presented as number (percentage), mean±standard deviation (sd) or median (interquartile range, IQR), where appropriate. Statistical significance was accepted at p<0.05. Analyses were conducted on Stata MP 14.1 (Statacorp, Texas, USA).
MacDonald M.I., Osadnik C.R., Bulfin L., Leahy E., Leong P., Shafuddin E., Hamza K., King P.T, & Bardin P.G. (2021). MULTI-PHACET: multidimensional clinical phenotyping of hospitalised acute COPD exacerbations. ERJ Open Research, 7(3), 00198-2021.
+ Open protocol
+ Expand
9

EGFR TKI Treatment Outcomes

Check if the same lab product or an alternative is used in the 5 most similar protocols
PFS was the primary endpoint. It was defined as the time from EGFR TKI treatment start to progression or death, whichever occurred first, or last follow-up date for patients alive and free from progression at the time of the analysis. OS was a secondary endpoint and was defined as the time from EGFR TKI treatment start to death or last follow-up date for alive patients. Median follow-up (mFU) was calculated according to the reverse Kaplan-Meier technique. PFS and OS curves were estimated by Kaplan-Meier product limit method and compared between the two groups (cases without “other mutations” vs. cases with “other mutations”) by log-rank test. Hazard ratios were estimated by a Cox proportional hazard model adjusted by gender, age (as a continuous variable), smoking habits (current or previous smoker vs. never smoker), and presence of the T790M mutation. Explorative analyses were done to assess the prognostic value of TP53 mutation in this cohort of patients. Statistical analyses were performed using STATA MP 14.1 (StataCorp LP, College Station, TX, USA).
Rachiglio A.M., Fenizia F., Piccirillo M.C., Galetta D., Crinò L., Vincenzi B., Barletta E., Pinto C., Ferraù F., Lambiase M., Montanino A., Roma C., Ludovini V., Montagna E.S., De Luca A., Rocco G., Botti G., Perrone F., Morabito A, & Normanno N. (2019). The Presence of Concomitant Mutations Affects the Activity of EGFR Tyrosine Kinase Inhibitors in EGFR-Mutant Non-Small Cell Lung Cancer (NSCLC) Patients. Cancers, 11(3), 341.
+ Open protocol
+ Expand
10

Bayesian Network Meta-Analysis of Treatments

Check if the same lab product or an alternative is used in the 5 most similar protocols
The network meta-analyses will be performed using STATA/MP 14.1 (StataCorp, College Station, TX), through the routine for Bayesian hierarchical random-effects model. The network meta-analysis combines data from several different randomized comparisons across treatments to provide a set of internally consistent estimates, taking into account randomization within each trial. The network meta-analysis will be performed within the framework of a generalized linear model, where the link function specifies the relationship between the outcome and the model coefficients to be estimated. When the endings are continuous, the likelihood is modeled as normal. When the endings are event rates, the likelihood is modeled as Poisson. A random effects model is used for this analysis. Estimation is performed in a Bayesian context using the non-information prior distribution of the parameters. The model is evaluated using the Deviation Information Criterion, a measure that combines model fit and complexity. The analysis is estimated using a Bayesian Markov Chain Monte Carlo model.
Shi Y., Lei Q., Liu H, & Han Q. (2022). The role of vitamin A and zinc supplementation in pediatric pneumonia: A protocol for systematic review and network meta-analysis. Medicine, 101(51), e32183.
+ 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?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!