Results 11 to 20 of about 211,055 (241)
Wind energy forecasting with missing values within a fully conditional specification framework
International Journal of Forecastingrevision to International Journal of ...
Honglin Wen, Pierre Pinson
exaly +4 more sources
Multiple Imputation of Covariates by Substantive-model Compatible Fully Conditional Specification [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2015 Multiple imputation is a practical, principled approach to handling missing data. When used to impute missing values in covariates of regression models, imputation models may be misspecified if they are not compatible with the substantive model of interest for the outcome.
Bartlett, JW, Morris, TP
openaire +3 more sources
JointAI: Joint Analysis and Imputation of Incomplete Data in R
Journal of Statistical Software, 2021 Missing data occur in many types of studies and typically complicate the analysis. Multiple imputation, either using joint modeling or the more flexible fully conditional specification approach, are popular and work well in standard settings. In settings
Nicole S. Erler +2 more
doaj +1 more source
Multiple Imputation of Missing Data in Educational Production Functions
Computation, 2022 Educational production functions rely mostly on longitudinal data that almost always exhibit missing data. This paper contributes to a number of avenues in the literature on the economics of education and applied statistics by reviewing the theoretical ...
Amira Elasra
doaj +1 more source
USP7 controls NGN3 stability and pancreatic endocrine lineage development
Nature Communications, 2023 Understanding the factors and mechanisms involved in beta-cell development will guide therapeutic efforts to generate fully functional beta cells for diabetes.
Teodora Manea +6 more
doaj +1 more source
Heliyon, 2023 Problem: The congenial of the imputation model is crucial for valid statistical inferences. Hence, it is important to develop methodologies for diagnosing imputation models.
Mingyang Cai +2 more
doaj +1 more source
Stats, 2023 Nonprobability samples have been used frequently in practice including public health study, economics, education, and political polls. Naïve estimates based on nonprobability samples without any further adjustments may suffer from serious selection bias.
Sixia Chen +5 more
doaj +1 more source
A counterfactual choice approach to the study of partner selection
Demographic Research, 2021 Background: Research on assortative mating - how partner characteristics affect the likelihood of union formation - commonly uses the log-linear model, but this approach has been criticized for its complexity and limitations.
Aaron Gullickson
doaj +1 more source
Comparison of multiple imputation and other methods for the analysis of imputed genotypes
BMC Genomics, 2023 Background Analysis of imputed genotypes is an important and routine component of genome-wide association studies and the increasing size of imputation reference panels has facilitated the ability to impute and test low-frequency variants for ...
Paul L. Auer +4 more
doaj +1 more source
Frontiers in Cell and Developmental Biology, 2022 Neuronal development in the inner ear is initiated by expression of the proneural basic Helix-Loop-Helix (bHLH) transcription factor Neurogenin1 that specifies neuronal precursors in the otocyst.
Iva Filova +5 more
doaj +1 more source