Sample size calculation for clinical trials in which entry criteria and outcomes are counts of events. ACIP Investigators. Asymptomatic Cardiac Ischemia Pilot.
In many chronic diseases, therapy aims to prevent or reduce the frequency of episodes of a disease manifestation, for example cardiac ischaemic episodes or epileptic seizures. Entry criteria for clinical trials typically include a minimum number of episodes within a baseline period, and regression to the mean should be anticipated. The distribution of the number of episodes at follow-up, the statistical power for treatment comparisons, and the difficulty of recruitment will depend on the entry criterion chosen. A gamma-Poisson mixture model is employed to describe the regression to the mean when the entry criterion and outcome measure are counts of discrete events. Sample size formulae which take account of the entry criterion are derived for comparison of mean number of events at follow-up and the proportion of patients with zero events at follow-up. Application of these formulae to screening data from the Asymptomatic Cardiac Ischemia Pilot (ACIP) Study is presented as an example.
McMahon
R P
RP
Maryland Medical Research Institute, Baltimore 21210.
Proschan
M
M
Geller
N L
NL
Stone
P H
PH
Sopko
G
G
D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D015716:Electrocardiography, Ambulatory / Q000187:drug effects / Q000706:statistics & numerical data; D004608:Eligibility Determination; D005500:Follow-Up Studies; D006801:Humans; D015233:Models, Statistical; D017202:Myocardial Ischemia / Q000175:diagnosis / Q000188:drug therapy*; D010865:Pilot Projects; D016012:Poisson Distribution; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D012494:Sampling Studies; D016896:Treatment Outcome