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
Optimize drug regimens through model-informed precision dosing, using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By integrating therapeutic drug monitoring (TDM) data with population models, 'posologyr' provides accurate posterior estimates and enables the calculation of personalized 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>.
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