[HTML][HTML] Superiority of Bayesian Imputation to Mice in Logit Panel Data Models
PO Opeyo, W Cheng, Z Xu - Open Journal of Statistics, 2023 - scirp.org
Non-responses leading to missing data are common in most studies and causes inefficient
and biased statistical inferences if ignored. When faced with missing data, many studies …
and biased statistical inferences if ignored. When faced with missing data, many studies …
The Concavity of Conditional Maximum Likelihood Estimation for Logit Panel Data Models with Imputed Covariates
OP Otieno, W Cheng - Mathematics, 2023 - mdpi.com
In estimating logistic regression models, convergence of the maximization algorithm is
critical; however, this may fail. Numerous bias correction methods for maximum likelihood …
critical; however, this may fail. Numerous bias correction methods for maximum likelihood …
Impact of Imputation on Performance of Goodness-of-Fit Tests for the Logistic Panel Data Model
OP Otieno, C Weihu, RA Makled - Contemporary Mathematics, 2024 - ojs.wiserpub.com
Goodness-of-fit tests aim at discerning model misspecification and identifying a model which
is poorly fitting a given data set. They are methods used to determine the suitability of the …
is poorly fitting a given data set. They are methods used to determine the suitability of the …