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

Working with Missing Data and Imputation

fitvids('.shareagain', {players: 'iframe'});

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

fitvids('.shareagain', {players: 'iframe'});

Dealing with Incomplete Covariates in Survival Models: A Bayesian Approach

fitvids('.shareagain', {players: 'iframe'});

Bayesian Methods for Handling Missing Values in Complex Settings

fitvids('.shareagain', {players: 'iframe'});

Joint Models for Incomplete Longitudinal and Survival Data

fitvids('.shareagain', {players: 'iframe'});

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

fitvids('.shareagain', {players: 'iframe'});

Imputation of Missing Covariates in Longitudinal Data

fitvids('.shareagain', {players: 'iframe'});

Joint Analysis and Imputation of Incomplete Data in R

fitvids('.shareagain', {players: 'iframe'});

Joint Analysis and Imputation of Incomplete Data in R

fitvids('.shareagain', {players: 'iframe'});