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stata command 'ebalance  (STATA Corporation)


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    STATA Corporation stata command 'ebalance
    Stata Command 'Ebalance, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/ebalance+command/stata+package+ebalance/pmc10844664-104-3-5
    Average 90 stars, based on 1 article reviews
    stata command 'ebalance - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Sex and age differences in the patient-reported outcome measures and adherence to an osteoarthritis digital self-management intervention
    Article Snippet: Secondly, we used entropy balancing (Stata command ‘ebalance’) to adjust for the differences in the baseline values of the outcomes of interest across sex/age groups.

    Article Title: Income-Related Inequality Changes in Osteoarthritis First-Line Interventions: A Cohort Study.
    Article Snippet: To address these differences, we employed entropy balancing (“ebalance” Stata command), weighting included participants on the mean baseline value of the unbalanced outcome of interest and related unbalanced descriptive data to represent the entire sample.

    Article Title: An alternative model of maternity care for low-risk birth: Maternal and neonatal outcomes utilizing the midwifery-based birth center model.
    Article Snippet: For the EBWs, we used the Stata module ebalance, which addresses the problem of simultaneously matching on propensity scores and values of the explanatory variables in the propensity score equation.


    Article Title: Economic Burden of Inpatient Care for Mitral Regurgitation in Maryland
    Article Snippet: To compensate for the noticeable difference in MR subgroups characteristics, we first used entropy balancing (Stata command: ebalance), a data‐matching procedure that allows reweighting a data set such that the covariate distributions in the reweighted exposure group match the covariate moments in the control group.

    Article Title: Economic Burden of Inpatient Care for Mitral Regurgitation in Maryland
    Article Snippet: To compensate for the noticeable difference in MR subgroups characteristics, we first used entropy balancing (Stata command: ebalance), a data- matching procedure that allows reweighting a data set such that the covariate distributions in the reweighted exposure group match the covariate moments in the control group.14 We matched for the means of all aforementioned Charlson comorbidities, obesity, aortic valve disease, tricuspid valve disease, and pulmonic valve disease, as detailed in Tables S2– S4.

    Analytical Sample Preparation:

    Article Title: Who Engaged in Home-Based Arts Activities During the COVID-19 Pandemic? A Cross-Sectional Analysis of Data From 4,731 Adults in the United States
    Article Snippet: .. We weighted the final analytical sample to match the characteristics of the noninstitutionalized United States population aged 18 years and above by weighting according to age, gender, race/ethnicity, and education, obtained from the United States Census Bureau , using the Stata package ebalance ( ). ..



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