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To ensure that the outcomes of the study are not biased and reliable, a randomization plan should be employed for assigning medications. Randomization helps eliminate any confounding factors that may arise from non-random assignment of medications. One effective method of randomization is the use of computer-generated random numbers to assign treatments systematically. #create an equal number of aspirin and experimental treatment labels (e.g., "A" for aspirin and "E" for experimental) #create a list containing 19,185 total treatment labels (approximately half "A" and half "E") #use a computer program to randomly shuffle the list of treatment labels #assign each patient a random position in the shuffled list and give them the corresponding treatment (aspirin or experimental) In this plan, we first create an equal number of "A" and "E" labels for aspirin and experimental treatments, respectively. Then, we form a list with 19,185 treatment labels, approximately half "A" and half "E". Using a computer program, we randomly shuffle the list to ensure the random treatment assignment. Finally, each patient will be assigned a random position in the shuffled list and will receive the corresponding treatment (aspirin or experimental).

Due to the randomness of the shuffle process, there might not be exactly equal numbers of patients in each treatment group; there could be some slight variation. However, with such a large sample size (19,185), the difference should be negligible and should not significantly impact the study results.1