pkpd.protocols.protocol_pkpd_monocompartment_urine module

class pkpd.protocols.protocol_pkpd_monocompartment_urine.ProtPKPDMonoCompartmentUrine(**kwargs)[source]

Bases: pkpd.protocols.protocol_pkpd_ode_base.ProtPKPDODEBase

Fit a monocompartmental 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 + 1/V * dD/dt and dA/dt = fe * Cl * C

where C is the concentration, Cl the clearance, V the distribution volume, 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]