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logit regression psmatch2 stata command  (STATA Corporation)


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    STATA Corporation logit regression psmatch2 stata command
    Logit Regression Psmatch2 Stata Command, 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/logit+command/psmatch2/pmc10083766__bmjopen___2022___062149__draft_revisions-114-19-22
    Average 90 stars, based on 1 article reviews
    logit regression psmatch2 stata command - by Bioz Stars, 2026-10
    90/100 stars

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    Construct:

    Article Title: Genetic Variants in RANK and OPG Could Influence Disease Severity and Bone Remodeling in Patients with Early Arthritis.
    Article Snippet: .. In addition, we constructed six additional multivariate models: two ordered logistic regression models using the “ologit” command of STATA for the activity variables categorized into four levels (using DAS28 and HUPI activity indexes) and two logistic regression models using the “logit command” of STATA for the dichotomous variables “Remission” and “Therapeutic target” defined above. ..

    Activity Assay:

    Article Title: Genetic Variants in RANK and OPG Could Influence Disease Severity and Bone Remodeling in Patients with Early Arthritis.
    Article Snippet: .. In addition, we constructed six additional multivariate models: two ordered logistic regression models using the “ologit” command of STATA for the activity variables categorized into four levels (using DAS28 and HUPI activity indexes) and two logistic regression models using the “logit command” of STATA for the dichotomous variables “Remission” and “Therapeutic target” defined above. ..

    other:

    Article Title: Is Italian Dentists’ Knowledge of Enamel Development Defects Adequate? A Nationwide Survey
    Article Snippet: For logistic regression models (STATA's logit command), sociodemographic variables, caries risk classification, and the type of suitable therapy were used as the explanatory variable, and the correct response related to the framing of each clinical image as dependent variables.

    Article Title: Do Common Risk Adjustment Methods Do Their Job Well If Center Effects Are Correlated With the Center-Specific Mean Values of Patient Characteristics?
    Article Snippet: Logistic regression models are fitted to this large data set using the standard ML principle (logit command in Stata) and the risk adjusted values are computed as described in Section 2.

    Article Title: A community-based study of intention to use HIV self-testing among young people in urban areas of southern Ethiopia
    Article Snippet: In the first step of the OLR analysis (using ologit command in STATA), five variables (average monthly income, educational status, perceived risk of HIV infection, subjective S.N Variable Category Odds Ratio 95% confidence interval P-value Included in MV Analysis (Yes/No) Categorical variables 1 Educational status Secondary education and below 1 - 0.022 Yes Higher education 1.78 1.08, 2.94 2 Perceived risk Low to no risk 1 0.213 Yes Some to high risk 0.72 0.43,1.21 3 Knowledge Low 1 - 0.046 Yes Moderate/High 1.343208 1.01,1.79 4 Gender Female 1 - - No Male 1.11 0.71,1.75 0.644 5 Marital status Single 1 - - No Having or had partnership 1.01 0.64,1.59 0.970 6 Ever tested for HIV No 1 - - No Yes 1.21 0.76,1.89 0.423 7 Ever had sexual experience Yes No No 1.31 0.82, 2.09 0.263 Continuous Variable 8 Average monthly income 1.00 1.00,1.01 0.001 Yes 9 Mean PBC 4.06 2.98, 5.53 <0.001 Yes 10 Mean SN 1.39 1.06, 1.84 0.017 Yes 11 Mean favourable attitude 2.84 2.23, 3.62 <0.001 Yes 12 Mean acceptability 10.16 6.38,16.19 <0.001 Yes 13 Age 1.01 0.92,1.09 0.907 No 14 Mean unfavourable attitude 0.91 0.75, 1.11 0.350 No norm, and knowledge ) did not show a significant association with intention to use HIVST.

    Article Title: Prevalence of postpartum depression symptoms in high-income and low- and middle-income countries in the COVID-19 pandemic: a systematic review with meta-analysis
    Article Snippet: As the dependent variable is a proportion, the data were logit-transformed for the meta-regression, using the “logit()” command in Stata.

    Article Title: Trends and determinants of clinical staff retention in the English NHS: a double retrospective cohort study.
    Article Snippet: To assess the impact of demographic and job characteristics on retention outcomes, logistic regressions are conducted using the logit command in Stata V.17 (StataCorp LLC) separately for each combination of cohort, staff group and care setting.

    Article Title: Is Italian Dentists' Knowledge of Enamel Development Defects Adequate? A Nationwide Survey.
    Article Snippet: For logistic regression models (STATA’s logit command), sociodemographic variables, caries risk classification, and the type of suitable therapy were used as the explanatory variable, and the correct response related to the framing of each clinical image as dependent variables.



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