PubMed ID:
18385390
Public Release Type:
Journal
Publication Year: 2008
Affiliation: Renal Section (111F), VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT 06516, USA. susan.crowley@yale.edu
DOI:
https://doi.org/10.2215/CJN.05621207
Authors:
Palevsky PM,
Palevsky PM,
Zhang J,
Andress D,
Aslam N,
Bacallao R,
Batuman V,
Chertow G,
Chertow GM,
Chertow GM,
Choudhury D,
Choudhury D,
Choudhury D,
Contreras G,
Crowley ST,
Crowley ST,
Crowley ST,
Dolson G,
Feldman G,
Finkel K,
Finkel K,
Gabbai F,
Ikizler TA,
Johansen K,
Kellum J,
Kraut J,
Lohr J,
Niles J,
O'Connor T,
O'Connor TZ,
Paganini E,
Paganini E,
Paganini E,
Peduzzi P,
Rabb H,
Ramkumar M,
Rocco M,
Rosado-Rodriguez C,
Roudebush RL,
Schein RM,
Schein RM,
Schein RM,
Shaver MJ,
Shaw A,
Smith MW,
Star R,
Swanson K,
Thompson BT,
VA/NIH Acute Renal Failure Trial Network Study Group,
Vijayan A,
Vijayan A,
Vitale J,
Watnick S,
Young E,
Zhang JH
Studies:
Acute Renal Failure Trial Network
Design elements of clinical trials can introduce recruitment bias and reduce study efficiency. Trials involving the critically ill may be particularly prone to design-related inefficiencies.