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Use of re-randomized data in meta-analysis
Authors:Iztok?Hozo  author-information"  >  author-information__contact u-icon-before"  >  mailto:ihozo@iun.edu"   title="  ihozo@iun.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Benjamin?Djulbegovic,Otavio?Clark,Gary?H?Lyman
Affiliation:(1) Department of Mathematics, Indiana University Northwest, Gary, IN, USA;(2) Interdisciplinary Oncology Program, H. Lee Moffitt Cancer Center and Research Institute at the University of South Florida, Tampa, FL, USA;(3) Instituto do Radium de Campinas, Av Heitor Penteado 1780, Campinas, SP, Brasil;(4) James P. Wilmot Cancer Center, University of Rochester Medical Center, Rochester, NY, USA
Abstract:

Background  

Outcomes collected in randomized clinical trials are observations of random variables that should be independent and identically distributed. However, in some trials, the patients are randomized more than once thus violating both of these assumptions. The probability of an event is not always the same when a patient is re-randomized; there is probably a non-zero covariance coming from observations on the same patient. This is of particular importance to the meta-analysts.
Keywords:
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