pkpd.protocols.protocol_pkpd_twocompartments_urine module

class pkpd.protocols.protocol_pkpd_twocompartments_urine.ProtPKPDTwoCompartmentsUrine(**kwargs)[source]

Bases: pkpd.protocols.protocol_pkpd_ode_base.ProtPKPDODEBase

Fit a two-compartments model to a set of plasma and urine (cumulated) measurements ((any arbitrary dosing regimen is allowed)

The differential equation is dC/dt = -Cl * C/V -Clp *(C-Cp)/V + 1/V * dD/dt, dCp/dt=Cl*C/Vp+Clp*(C-Cp)/Vp and dA/dt = fe * Cl * C

where C is the concentration, Cl the total clearance (metabolic and excretion), V the distribution volume, Clp is the Clearance

to the peripheric compartment, Vp is the volume of the peripheric compartment, D the input dosing regime and fe the fraction excreted.

Confidence intervals calculated by this fitting may be pessimistic because it assumes that all model parameters are independent, which are not. Use Bootstrap estimates instead.

Protocol created by http://www.kinestatpharma.com
createModel()[source]
getXYvars()[source]