mad_missing_duplicates: Multiple Ascending Dose Data Set (Duplicates Removed)

mad_missing_duplicatesR Documentation

Multiple Ascending Dose Data Set (Duplicates Removed)


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.




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.