Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes. Austin, P. C. Journal of Clinical Epidemiology, 63(1):46 - 55, 2010.
Paper doi bibtex @Article{Austin_2010_13191,
author = {Austin, Peter C.},
journal = {Journal of Clinical Epidemiology},
number = {1},
pages = {46 - 55},
title = {Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes},
volume = {63},
year = {2010},
issn = {0895-4356},
keywords = {Risk differences; Numbersneeded to treat; Survival analysis; Cox proportional hazards regression model; Measures of treatment effect; Absoluteriskreduction; Observational study; Randomized controlled trial},
url = {http://www.sciencedirect.com/science/article/pii/S089543560900095X},
doi = {10.1016/j.jclinepi.2009.03.012},
title_with_no_special_chars = {Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for timetoevent outcomes}
}
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