Likelihood-based missing data analysis in crossover trials

DOI10.1214/23-BJPS570arXiv2103.06567OpenAlexW4386248932MaRDI QIDQ6178485

Kalyan Das, Savita Pareek, Siuli Mukhopadhyay

Publication date: 1 September 2023

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.06567

zbMATH Keywords

Monte Carlo EM algorithmcrossover trialsMCEM likelihood ratio tests

Mathematics Subject Classification ID

Statistics (62-XX) Biology and other natural sciences (92-XX)

Cites Work

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• Analysis of incomplete data in a two-period crossover design with reference to clinical trials
• Inference and missing data
• Mathematical Statistics
• Semiparametric Regression Analysis of Interval‐Censored Data
• Monte Carlo EM Estimation for Time Series Models Involving Counts
• Informative Drop-Out in Longitudinal Data Analysis
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies

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