title: Designing of trials: power calculations based on matching as a surrogate for randomization.
abstract: In the design of clinical trials we strive to extract the maximum amount of information from a minimum number of patients and yet retain statistical validity. Matching has become acknowledged as a useful and valid surrogate for the randomized trial. By using data from matched trials along with power calculations we can accurately predict the number of patients required to achieve statistical significance in a related randomized trial.
authors.affiliation: Catheterization Laboratory, Erasmus University Rotterdam, Rotterdam, The Netherlands.
authors.forename: P P
authors.initials: PP
authors.lastname: de Jaegere
authors.forename: P N
authors.initials: PN
authors.lastname: Ruygrok
authors.forename: P J
authors.initials: PJ
authors.lastname: de Feyter
authors.forename: P W
authors.initials: PW
authors.lastname: Serruys
mesh_terms: D015906:Angioplasty, Balloon, Coronary; D016022:Case-Control Studies; D003327:Coronary Disease / Q000453:epidemiology / Q000628:therapy*; D003627:Data Interpretation, Statistical; D004867:Equipment Design; D006801:Humans; D011897:Random Allocation; D016032:Randomized Controlled Trials as Topic; D012107:Research Design; D018401:Sample Size; D015607:Stents