Modeling the 4D Study | Zendy

Kevin E. Chan | Zendy; Ravi Thadhani | Zendy; J. Michael Lazarus | Zendy; Raymond M. Hakim | Zendy

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Modeling the 4D Study

Author(s) -

Kevin E. Chan,

Ravi Thadhani,

J. Michael Lazarus,

Raymond M. Hakim

Publication year - 2010

Publication title -

clinical journal of the american society of nephrology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.755

H-Index - 151

eISSN - 1555-905X

pISSN - 1555-9041

DOI - 10.2215/cjn.07161009

Subject(s) - medicine , observational study , hazard ratio , proportional hazards model , myocardial infarction , randomized controlled trial , atorvastatin , population , dialysis , statin , stroke (engine) , emergency medicine , physical therapy , intensive care medicine , confidence interval , mechanical engineering , environmental health , engineering

Randomized, controlled trials (RCTs) are the gold standard for defining causal inferences but are sometimes not feasible because of cost, ethical, or time considerations. We explored the accuracy and potential use of a "simulated trial" through the modeling of a previously published RCT, Die Deutsche Diabetes Dialyse Studie (4D Study), a landmark study that investigated the cardiovascular benefit of atorvastatin use in 1255 patients with ESRD.

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