missing-at-random

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cxy0714 / Method-of-Moments-Inference-for-GLMs

Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"

machine-learning logistic-regression missing-data glm ate method-of-moments observational-studies high-dimensional-inference missing-at-random high-dimensional-statistics doubly-robust-functional average-treatment-effect

Updated Dec 10, 2024
R

xsswang / remiod

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R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study

statistics bayesian missing-data glm r-package mcmc jags multiple-imputation generalized-linear-models ordinal-regression reference-based missing-not-at-random missing-at-random pattern-mixture-model non-ignorable control-based jump-to-reference copy-reference delta-adjustment

Updated Feb 18, 2023
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mark-antal-csizmadia / em-simple

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Expectation Maximization (EM) algorithm for estimating maximum likelihood (ML) parameters of partially observed data on a three-node Bayesian Network Probabilistic Graphical Model.

python expectation-maximization probabilistic-graphical-models sufficient-statistics data-observability missing-at-random

Updated Sep 2, 2021
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