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The Effect Of Maternal Near Miss On Adverse Infant Nutritional Outcomes
(Hospital Clinicas, Univ Sao PauloSão Paulo, 2016)
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 ...
Robust doubly protected estimators for quantiles with missing data
(Springer, 2020-09)
Doubly protected methods are widely used for estimating the population mean of an outcome Y from a sample where the response is missing in some individuals. To compensate for the missing responses, a vector X of covariates ...
Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation
(Pontificia Universidad Católica del Perú, 2021)
Missing observations in stochastic difference equation with arma errorsMissing observations in stochastic difference equation with arma errors
(Sociedade Brasileira de Econometria, 1987)
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)
Erratum regarding missing Declaration of Competing Interest statements in previously published articles
Erratum regarding missing Declaration of Competing Interest statements in previously published
articles.
Declaration of Competing Interest statements were not included in published version of the articles
that appeared ...
Missing data imputation in multivariate data by evolutionary algorithms
(Computers in Human Behavior, 2011-09)
This paper presents a proposal based on an evolutionary algorithm to impute missing observations in multivariate data. A genetic algorithm based on the minimization of an error function derived from their covariance matrix ...
Dealing with Missing Data using a Selection Algorithm on Rough Sets
(ATLANTIS PRESS, 2018-01-01)
This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. A new algorithm, called the ARSI algorithm, is proposed to address the imputation problem of ...