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stata version 15 1 (STATA Corporation)

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STATA Corporation stata version 15 1
Stata Version 15 1, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 41021 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/version+15/STATA+15%2E0/pmc13050009-177-15-15
Average 99 stars, based on 41021 article reviews

stata version 15 1 - by Bioz Stars, 2026-10

99/100 stars

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Article Title: Randomized Trial of Dapagliflozin in Patients With Nondiabetic Stage 4 CKD
Article Snippet: SAS, version 9.4, and Stata (StataCorp), version 15, were used for all analyses.

Software:

Article Title: Can Self-Reported Symptoms Be Relied on for COVID-19 Screening in Low-Resource Settings?
Article Snippet: .. All data were transferred from the SurveyMonkey server to STATA version 15 (StataCorp 2015, Stata Statistical Software: Release 15, College Station, TX, USA: StataCorp LP). ..

Article Title: Natural Savanna Systems Within the "One Health and One Welfare" Approach: Part 2-Sociodemographic and Institution Factors Impacting Relationships Between Farmers and Livestock.
Article Snippet: .. StataCorp Stata Statistical Software; Version 15. .. StataCorp LLC: College Station, TX, USA, 2025.

Generated:

Article Title: Errors-in-variables regression as a viable approach to mediation analysis with random error-tainted measurements: Estimation, effectiveness, and an easy-to-use implementation.
Article Snippet: Mediation analysis, popular in many disciplines that rely on behavioral science data analysis techniques, is often conducted using ordinary least squares (OLS) regression analysis methods.. Given that one of OLS regression’s weaknesses is its susceptibility to estimation bias resulting from unaccounted-for random measurement error in variables on the right-hand sides of the equation, many published mediation analyses certainly contain some and perhaps substantial bias in the direct, indirect, and total effects.. In this manuscript, we offer errors-in-variables (EIV) regression as an easy-to-use alternative when a researcher has reasonable estimates of the reliability of the variables in the analysis.