Typical NONMEM data

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Description

Typical NONMEM data

Usage

1

Format

A data frame with 1061 observations on the following 23 variables.

ID

a numeric vector giving the subject ID

SEX

a numeric vector giving the subject sex

RACE

a numeric vector giving the subject race

SMOK

a numeric vector giving the subject smoking status

HCTZ

a numeric vector giving the treatment status

PROP

a numeric vector giving the treatment status

CON

a numeric vector giving the treatment status

DV

a numeric vector giving the dependent variable

PRED

a numeric vector giving population prediction

RES

a numeric vector giving the residual

WRES

a numeric vector giving the weighted residual

AGE

a numeric vector giving the subject age

HT

a numeric vector giving the subject height

WT

a numeric vector giving the subject weight

SECR

a numeric vector giving the serum creatinine value

OCC

a numeric vector giving the occasion

TIME

a numeric vector giving the time of the observation time

IPRE

a numeric vector giving individual prediction

IWRE

a numeric vector giving the individual weighted residual

SID

a numeric vector giving the site ID

CL

a numeric vector giving the clearance

V

a numeric vector giving the volume of distribution

KA

a numeric vector giving the absorption rate constant

Source

Simulated Data