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Odds ratios in MLR for predictive models using CDC data as gold standard – original and ensemble models.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Odds_ratios_in_MLR_for_predictive_models_using_CDC_data_as_gold_standard_8211_original_and_ensemble_models_/1121219
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AIC = Akaike information criterion; considers both model fit and complexity, used to assess goodness-of-fit.°For Lyme Disease Risk, 0 = minimal/no risk, 1 = low risk/Lyme disease reported, 2 = medium risk, 3 = high risk. For Tick Presence, 0 = absent/none, 1 = reported, 2 = established.∧N = 1750: Some counties had no deciduous forest; thus, patch size and patch isolation could not be calculated.*Significant positive OR estimate: 95% CI excludes the null (1.0) and OR estimate is >1.0 (p
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2015-12-02
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