Warfarin PopPK model fitting output (4-covariate model)

A list containing the full output of a warfarin population pharmacokinetic model fit with four covariates (SEX, LG_WEIGHT, CYP2C9, VKORC1), including parameter estimates, model diagnostics, individual predictions, and covariate data.

Usage

gfo4cov

Format

gfo4cov

A named list with 12 elements:

PROJNAME

character string identifying the project run ("run_4cov")

SUMTAB

data frame with 15 rows and 11 columns containing the parameter summary table. Columns: PAR (parameter name), VALUE (estimate), TYPE (category: "Typical values", "Covariate effects", "Random effects", or "Residual error model"), EST (estimation status), SE (standard error), RSE (relative SE, \ LCI and UCI (95\ ETAshrinkage_var, ETAshrinkage_sd, EPSshrinkage_sd (shrinkage metrics).

SDTAB

data frame with 1600 rows and 11 columns — the standard table of observations and model predictions. Columns: ID, TIME, DV (observed), DVID, PRED (population prediction), IPRED (individual prediction), RES (residual), IRES (individual residual), WRES (weighted residual), IWRES (individual weighted residual), MDV.

PATAB

data frame with 100 rows and 7 columns — individual parameter table. Columns: ID, eta_ka, eta_Vd, eta_CL (individual ETA random effects), ka, Vd, CL (individual post-hoc PK parameter estimates).

COVMAT

15 \(\times\) 15 numeric matrix — covariance matrix of the population parameter estimates.

CORRMAT

15 \(\times\) 15 numeric matrix — correlation matrix of the population parameter estimates.

OFV

data frame with 1 row and 4 columns — model fit criteria: LL (-2 x log-likelihood, i.e. Monolix OFV), AIC, BIC, BICc.

OMEGAMAT

3 \(\times\) 3 numeric matrix — OMEGA variance-covariance matrix of the inter-individual random effects (eta_ka, eta_Vd, eta_CL).

SIGMAMAT

1 \(\times\) 1 numeric matrix — SIGMA residual error variance matrix.

EVTAB

data frame with 100 rows and 6 columns — dosing/event table. Columns: ID, TIME, EVID, AMT, ADM, CMT.

COTAB

data frame with 100 rows and 6 columns — continuous covariate table. Columns: ID, AGE, WEIGHT, BMI, LG_WEIGHT (log10-transformed weight), LG_AGE (log10-transformed age).

CATAB

data frame with 100 rows and 4 columns — categorical covariate table. Columns: ID, SEX (0 = female, 1 = male), CYP2C9 (genotype integer code, 0–5), VKORC1 (genotype: "GG", "AG", or "AA").

Source

Generated from the warfarin PopPK model fitting run "run_4cov" used in the covariate sensitivity analysis workflow.