Univariable and multivariable ordinal regression: association of alveolar infiltrates and cavities with number of bacteria in sputum smear.
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https://figshare.com/articles/dataset/_Univariable_and_multivariable_ordinal_regression_association_of_alveolar_infiltrates_and_cavities_with_number_of_bacteria_in_sputum_smear_/1548739
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Dependent ordinal variable sputum smear (<1+, 1+, 2+ and 3+). Model 1 -2Log 52, Chi2 0.015, Goodness of fit 0.88, Pseudo R2 (Cox and snell 0.084 and Nagelkerke 0.091), test of parallel lines 0.021. Model 2 -2Log 27.5, Chi2 0.068, Goodness of fit 0.98, Pseudo R2 (Cox and snell 0.037 and Nagelkerke 0.040), test of parallel lines 0.971. Model 3 -2Log 53, Chi2 0,020, Goodness of fit 0,083, Pseudo R2 (Cox and snell 0,067 and Nagelkerke 0,041), test of parallel lines 0,240. Model 4 -2Log 158, Chi2 0.08, Goodness of fit 0,012, Pseudo R2 (Cox and snell 0.11 and Nagelkerke 0.12), test of parallel lines 0.022. Model 5 -2Log 100, Chi2 0.009, Goodness of fit 0,080, Pseudo R2 (Cox and snell 0.11 and Nagelkerke 0.12), test of parallel lines 0.075. Reference categories: Sputum smear: 3+, Alveolar infiltrates: No infiltration, Cavities: 2 cavities.
Univariable and multivariable ordinal regression: association of alveolar infiltrates and cavities with number of bacteria in sputum smear.
创建时间：
2015-09-18
