A stratified random sampling technique is used to minimize the time until detection of users of illicit drugs. The stratification is based on likelihood of drug use and importance of the billet occupied. Likelihood of drug used is calculated from fundamental characteristics (e.g., age, sex, education), performance, health and behavior (e.g., relative amount of sick leave, unusual behavior), and time since last test. The time it takes to detect a drug user using stratified random sampling is compared to the time using simple random sampling.
Keywords: Bayes Theorem Bayes Theorem Stratified Sampling Stratified Sampling Drug Free Workplace
