Missing Outcome Data in Health Economic Evaluation
An internal function to detect the random effects component from an ob...
Extract regression coefficient estimates from objects in the class `mi...
A function to read and re-arrange the data in different ways for the h...
A function to read and re-arrange the data in different ways
A function to read and re-arrange the data in different ways
A function to read and re-arrange the data in different ways
Diagnostic checks for assessing MCMC convergence of Bayesian models fi...
An internal function to extract the random effects component from an o...
Full Bayesian Models to handle missingness in Economic Evaluations (Hu...
An internal function to detect the random effects component from an ob...
An internal function to detect the random effects component from an ob...
An internal function to summarise results from BUGS model
An internal function to separate the fixed and random effects componen...
Full Bayesian Models to handle missingness in Economic Evaluations (Pa...
Predictive information criteria for Bayesian models fitted in JAGS u...
Plot method for the imputed data contained in the objects of class `mi...
Posterior predictive checks for assessing the fit to the observed data...
Print method for the posterior results contained in the objects of cla...
An internal function to change the hyperprior parameters in the hurdle...
An internal function to change the hyperprior parameters in the select...
An internal function to change the hyperprior parameters in the select...
An internal function to change the hyperprior parameters in the select...
An internal function to execute a JAGS hurdle model and get posterior ...
An internal function to execute a JAGS pattern mixture model and get p...
An internal function to execute a JAGS selection model and get posteri...
An internal function to execute a JAGS selection model and get posteri...
Full Bayesian Models to handle missingness in Economic Evaluations (Se...
Full Bayesian Models to handle missingness in Economic Evaluations (Se...
Summary method for objects in the class missingHE
An internal function to select which type of hurdle model to execute f...
An internal function to select which type of pattern mixture model to ...
An internal function to select which type of selection model to execut...
An internal function to select which type of selection model to execut...
Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and fit, and to summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.