Contrasting case-wise deletion with multiple imputation and latent variable approaches to dealing with missing observations in count regression models - Afghari AP, Washington S, Prato C, Haque MM.

Missing data can lead to biased and inefficient parameter estimates in statistical models, depending on the missing data mechanism. Count regression models are no exception, with missing data leading to incorrect inferences about the effects of explanatory...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news