Individual Dose Optimization using Population Pharmacokinetics
Estimate the dose needed to reach a target area under the concentratio...
Estimate the optimal dose to achieve a target concentration at any giv...
Estimate the Maximum A Posteriori individual parameters
Estimate the posterior distribution of individual parameters by MCMC
Estimate the posterior distribution of individual parameters by SIR
Estimate the optimal dosing interval to consistently achieve a target ...
Update a model with events from a new rxode2 event table
Estimate the prior distribution of population parameters
Estimate the time required to reach a target trough concentration (Cmi...
This creates the posologyr error lines from a rxui model
Personalize drug regimens using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic drug monitoring (TDM) data with a population model, 'posologyr' offers accurate posterior estimates and helps compute optimal individualized dosing regimens. The empirical Bayes estimates are computed following the method described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.
Useful links