Independent predictors of malaria incidence density and odds of being at no risk of malaria in urban Mâncio Lima, Brazil, identified by multivariable random-effects zero-inflated negative binomial (RE-ZINB) regression analysis with explanatory added to the structural zero component of the model.
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https://figshare.com/articles/dataset/Independent_predictors_of_malaria_incidence_density_and_odds_of_being_at_no_risk_of_malaria_in_urban_M_ncio_Lima_Brazil_identified_by_multivariable_random-effects_zero-inflated_negative_binomial_RE-ZINB_regression_analysis_with_explanatory_/9452639
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资源简介：
Independent predictors of malaria incidence density and odds of being at no risk of malaria in urban Mâncio Lima, Brazil, identified by multivariable random-effects zero-inflated negative binomial (RE-ZINB) regression analysis with explanatory added to the structural zero component of the model.
本研究采用将解释变量纳入模型结构零组分的多变量随机效应零膨胀负二项（RE-ZINB）回归分析，鉴定出巴西曼西奥利马城区疟疾发病密度与无疟疾感染风险比值比的独立预测因子。
创建时间：
2019-08-09
