17 items found

Tags: Sociology logistic

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  • dataset

    Determinants of catastrophic health expenditure: a logistic regression model.

    Note: MIUE – Medical Insurance for Urban Employees; MIUR – Medical Insurance for Urban Residents; NCMS – New Cooperative Medical Scheme for Rural Residents.
  • dataset

    Risk factors for anemia (Hb<12.0 g/dL) among women of reproductive age Timor-...

    Risk factors for anemia (Hb<12.0 g/dL) among women of reproductive age Timor-Leste from logistic regression models.
  • dataset

    Determinants of use of care, adjusted for gender and wave, and additionally f...

    Bold = p<. 05. measurement of need at preceding wave was used as predictor for use in next wave, e.g. CBCL at T1 was used as predictor of use at T2, etc.
  • dataset

    Results of multivariable logistic regression analyses for predictors of unemp...

    aAverage country-level agreeing with the statement: “People with psychological or emotional health problems constitute a danger to others”.bAverage country-level agreeing with...
  • dataset

    r37980778c78--9ab2ea1ec26c5f7cea2cb0cd2169f45f

    N = 4,916. * = p<.05. ** = p<.01. *** = p<.001.
  • dataset

    Multivariate logistic regression for depression, anxiety, and sleep quality b...

    Adjusted for age, gender, BMI, and maternal education. *: p<0.05. OR: odd ratio. CI: confidence interval. PA: physical activity. ST: screen time.
  • dataset

    r37980778c78--959c1fb925e462b5c8f90479c748e4c8

    Multivariate logistic regression on knowledge of danger signs and separate independent factors.
  • dataset

    r37980778c78--4d6cc5bf4522ee6641f4da0941a9c4ba

    (Odds ratios, 95% confidence intervals in parentheses). ni = number of individuals; nj =  number of neighborhoods. *p≤0.05, **p≤0.01, ***p≤0.001.
  • dataset

    Multiple logistic regression results for signs for colours.

    Application value: Traditional signs. *Factor groups significant at p<.05. 1222 tokens. Input probability = 0.885, Mean = 0.836, Intercept = 2.037, Deviance = 990.857. Random...
  • dataset

    Multiple logistic regression analysis showing predictors of attitude and prac...

    OR: Odds ratio. aOR: Adjusted odds ratio. CI: Confidence intervals.
  • dataset

    r37980778c78--17d3bacddda31bbca693fa48ef1c2894

    Application value: Local variant for region. All factor groups significant at p<.05.
  • dataset

    r37980778c78--c22d3e93439ee40bad3d223d3e01e346

    aOR: Odds Ratio; CI95%: Confidence Interval of 95%. Estimated through unadjusted Generalized Estimating Equations (GEE).bOR: Odds Ratio; CI95%: Confidence Interval of 95%....
  • dataset

    Multinomial Logistic Regression Analysis: Adjusted Morbidity Prevalence (%) A...

    Note: ***p<0.001, **p<0.05, *p<0.10, MPCE@- monthly per capita expenditure. Reference category – rc.
  • dataset

    r37980778c78--6c546ba49026cd1c7c5962a8ca0538be

    OR: Odds ratio. CI: Confidence intervals. NRS: Nepalese Rupees.
  • dataset

    r37980778c78--4241da149a0cd21a09a3756536962ac8

    fmodel adjusted for age and gender.gmodel adjusted for age, gender, ethnicity, employment, education, household income and migrant status.iNo ETV has been used as the reference...
  • dataset

    r37980778c78--c2b6c3214b6ca631eae751dc896d5123

    Application value: Traditional signs. *Factor groups significant at p<.05. 6722 tokens. Input probability = 0.866, Mean = 0.785, Intercept = 1.868, Deviance = 5752.805. Random...
  • dataset

    r37980778c78--041d69c34cdfc6b84b50b7ee59ff2231

    Application value: Traditional signs. *Factor groups significant at p<.05. 3877 tokens. Input probability = 0.909, Mean = 0.794, Intercept = 2.301, Deviance = 3018.346. Random...