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Cluster identification, selection, and description in cluster randomized crossover trials : the PREP-IT trials / Sprague, Sheila (McMaster University. Department of Health Research Methods, Evidence, and Impact) ; Scott, Taryn (McMaster University (Canadà)) ; Dodds, Shannon (McMaster University (Canadà)) ; Pogorzelski, David (McMaster University (Canadà)) ; McKay, Paula (McMaster University (Canadà)) ; Harris, Anthony D. (University of Maryland School of Medicine) ; Wood, Amber (Association of periOperative Registered Nurses) ; Thabane, Lehana (McMaster University (Canadà)) ; Bhandari, Mohit (McMaster University (Canadà)) ; Mehta, Samir (University of Pennsylvania Perelman School of Medicine) ; Gaski, Greg (Indiana University School of Medicine) ; Boulton, Christina (Banner Health and the University of Arizona-Tucson) ; Marcano-Fernández, Francesc (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT)) ; Guerra-Farfán, Ernesto (Hospital Universitari Vall d'Hebron) ; Hebden, Joan (University of Maryland School of Medicine) ; O'Hara, Lyndsay M. (University of Maryland School of Medicine) ; Slobogean, Gerard P. (University of Maryland) ; Universitat Autònoma de Barcelona
In cluster randomized crossover (CRXO) trials, groups of participants (i. e. , clusters) are randomly allocated to receive a sequence of interventions over time (i. e. , cluster periods). CRXO trials are becoming more comment when they are feasible, as they require fewer clusters than parallel group cluster randomized trials. [...]
2020 - DOI (Digital Object Identifier)

10.1186/s13063-020-04611-9
Trials, Vol. 21 (august 2020)

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