Backward Joint Model for the Dynamic Prediction of Both Time-to-Event and Longitudinal Outcomes


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Documentation for package ‘BJM’ version 0.1.0

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cmtPlot Plot conditional mean trajectories (CMT)
dynamicPrediction Dynamic prediction function
dynamicPredictionBio Dynamic prediction function for future biomarker
longitudinalSub The process involves estimating parameters for a multivariate linear mixed-effects model, which simultaneously analyzes multiple dependent variables that may be correlated. This approach incorporates both fixed effects, which are consistent across the population, and random effects, accounting for variations within groups or subjects. By fitting this model, one can assess the influence of predictor variables on several longitudinal outcomes while considering the inherent variability in the data due to random effects.
pbc2 Mayo Clinic primary biliary cirrhosis data
pbc3 Mayo Clinic primary biliary cirrhosis data used as example code
predictPlot Plot of risk and future biomarker with density using dynamic prediction
print.dynamicPrediction.BJM Print method for 'dynamicPrediction.BJM' objects
print.dynamicPredictionBio.BJM Print method for 'dynamicPredictionBio.BJM' objects
print.longitudinalSub.BJM Print method for 'longitudinalSub.BJM' objects
print.survivalSub.BJM Print method for 'survivalSub.BJM' objects
print_BJM Combined print summary for a fitted BJM
print_dynamicPrediction Print method for 'dynamicPrediction.BJM' objects
print_dynamicPredictionBio Print method for 'dynamicPredictionBio.BJM' objects
print_longitudinalSub Print method for 'longitudinalSub.BJM' objects
print_survivalSub Print method for 'survivalSub.BJM' objects
riskPlot Plot of risk using dynamic prediction
summary.dynamicPrediction.BJM Summary method for 'dynamicPrediction.BJM' objects
summary.dynamicPredictionBio.BJM Summary method for 'dynamicPredictionBio.BJM' objects
summary.longitudinalSub.BJM Summary method for 'longitudinalSub.BJM' objects
summary.survivalSub.BJM Summary method for 'survivalSub.BJM' objects
survivalSub Fitting survival sub-model