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Missing data mechanisms and their implications on the analysis of categorical data
(SPRINGER, 2011)
We review some issues related to the implications of different missing data mechanisms on statistical inference for contingency tables and consider simulation studies to compare the results obtained under such models to ...
Asymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators
(Springer, 2011-11)
In this paper, we consider a semiparametric partially linear regression model where missing data occur in the response. We derive the asymptotic behavior of the robust estimators for the regression parameter and of the ...
Estimating additive models with missing responses
(Taylor & Francis, 2016-01)
For multivariate regressors, the Nadaraya-Watson regression estimator suffers from the well-known curse of dimensionality. Additive models overcome this drawback. To estimate the additive components, it is usually assumed ...
Comparing diagnostic tests with missing data
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2011)
When missing data occur in studies designed to compare the accuracy of diagnostic tests, a common, though naive, practice is to base the comparison of sensitivity, specificity, as well as of positive and negative predictive ...
Robust tests in generalized linear models with missing responses
(Elsevier Science Bv, 2013-09)
In many situations, data follow a generalized linear model in which the mean of the responses is modelled, through a link function, linearly on the covariates. Robust estimators for the regression parameter in order to ...
High breakdown point robust estimators with missing data
(Taylor, 2018-11)
In this paper, we propose a new procedure to estimate the distribution of a variable y when there are missing data. To compensate the presence of missing responses, it is assumed that a covariate vector x is observed and ...
Abordagem do near miss neonatal no 2005 WHO Global Survey BrazilNeonatal near miss approach in the 2005 WHO Global Survey Brazil
(Sociedade Brasileira de Pediatria, 2010)
Predicting missing values with biclustering: A coherence-based approach
(Elsevier Sci LtdOxfordInglaterra, 2013)
A Simple Technique to Infer the Missing Gravity Wave Drag in the Middle Atmosphere Using a General Circulation Model: Potential Vorticity Budget
(American Meteorological Society, 2014-02)
A simple technique to infer the missing momentum forcing in a general circulation model is developed and evaluated. The response of the large-scale dynamic equations to an external momentum forcing presents a nonlocal ...