JointAI

Bayesian Methods for Missing Covariates in Longitudinal Studies

Pre-conference course on Bayesian Methods for Missing Covariates in Longitudinal Studies at the conference of the International Biometric Society in Riga, Latvia, July 2022

Dealing with Missing Values in Multivariate Joint Models for Longitudinal and Survival Data

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Dealing with Incomplete Covariates in Survival Models: A Bayesian Approach

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Bayesian Methods for Handling Missing Values in Complex Settings

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Joint Models for Incomplete Longitudinal and Survival Data

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Working with Incomplete Data: When One-size-fits-all does not fit

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Imputation of Missing Covariates in Longitudinal Data

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Joint Analysis and Imputation of Incomplete Data in R

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Joint Analysis and Imputation of Incomplete Data in R

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Dealing with missing values in multivariate joint models for longitudinal and survival data

**Background:** Chronic hepatitis C is a severe and increasing public health issue. Although nowadays most patients can be cured, the infection is often undetected until symptoms of permanent liver damage become apparent, putting patients at a …