{"product_id":"analysis-of-zero-altered-inflated-data-von-michael-give-chipeta","title":"Analysis of Zero Altered \u0026 Inflated Data","description":"\u003cp\u003eZero altered models were fitted and applied to two datasets (one from Malawi and another from Zambia). Malawi data were collected in a cluster randomized study, in Chikhwawa district in 2004, with 18 villages randomized to intervention and control arms with a total of 1642 participants. Zambia data were collected from school children in a cross-sectional study in Lusaka province in 2004 with a total of 2040 participants. Results from the study showed that Negative Binomial Logit Hurdle (NBLH) model offered best-fit to data inflated with zeros; with capability to handle over-dispersion, excess zeros and capture true zeros in the data. Its implementation and interpretation, ease of components, and its direct link with observed data make it a valuable alternative for analyzing zero inflated count data. Conclusions drawn from the study indicated that Helminths were highly localized, with small section of people harboring parasites; showing heterogeneous infection risk for both Malawi and Zambia settings. Joint modeling approach allowed identification of risk factors for infection presence and severity hence provide a platform to design combative control efforts.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783845424569\"\u003e\u003ch3\u003eApplication to Helminths\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783845424569","offer_id":39485440360541,"sku":"9783845424569","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/29267aca-c8cc-465e-ab8d-192f93f43a2d.jpg?v=1773297064","url":"https:\/\/shop.autorenwelt.de\/products\/analysis-of-zero-altered-inflated-data-von-michael-give-chipeta","provider":"Autorenwelt Shop","version":"1.0","type":"link"}