mad_missing_duplicates: Multiple Ascending Dose Data Set (Duplicates Removed)

In xgxr: Exploratory Graphics for Pharmacometrics

Multiple Ascending Dose Data Set (Duplicates Removed)

Description

Model generated PK and PD data to mimic an orally administered small molecule with various endpoints from continuous to ordinal response and count data. Simulated multiple dose administration ranging from 100 mg to 1600 mg, once per day.

Usage

mad_missing_duplicates

Format

A data frame with the following 19 columns:

column 1:	ID	numeric; unique subject ID
column 2:	TIME	numeric; time relative to first drug administration
column 3:	NOMTIME	numeric; nominal time
column 4:	TIMEUNIT	character; unit of TIME
column 5:	AMT	numeric; dosing amount (for dosing events) in mg
column 6:	LIDV	numeric; observation on a linear scale (observation type determined by CMT), units determined by EVENTU column
column 7:	MDV	numeric; missing dependent variable
column 8:	CMT	integer; compartment number (determines observation type):
		CMT 1 = Dosing event
		CMT 2 = PK concentration
		CMT 3 = Continuous response data
		CMT 4 = Count response data
		CMT 5 = Ordinal response data
		CMT 6 = Binary response data
column 9:	NAME	character; description of event
column 10:	EVENTU	character; unit for observation
column 11:	CENS	integer; censored values (0 = not censored, 1 = censored)
column 12:	EVID	integer; event ID (0 = observation, 1 = dosing event)
column 13:	WEIGHTB	numeric; baseline body weight (kg)
column 14:	SEX	character; sex
column 15:	TRTACT	factor; treatment group label
column 16:	DOSE	numeric; randomized dose in mg
column 17:	PROFDAY	numeric; day of profile
column 18:	PROFTIME	numeric; time within PROFDAY
column 19:	CYCLE	numeric; count of drug administrations received

xgxr documentation built on March 31, 2023, 11:46 p.m.