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.
mad_missing_duplicates
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 |