caa a22 4500 386356556 CHVBK 20180307111855.0 cr unu---uuuuu 161130e198907 xx s 000 0 eng 10.1017/S0266462300007510 doi S0266462300007510 pii (NATIONALLICENCE)cambridge-10.1017/S0266462300007510 Lilford Richard J. The University of Leeds Evaluating New Treatments and Diagnostic Technologies in Obstetrics: Practical Problems, Ethics, and Solutions [Elektronische Daten] [Richard J. Lilford] This article develops arguments for the use of decision theory, rather than intuition, to determine the size of trials. It is wrong to expect doctors to ignore personal preferences in favor of clinical experiments unless the trial is capable of showing differences in treatment effect that would influence clinical practice substantially. It follows from our analysis that if delta (the treatment effect that the trial is designed to detect) is sufficient to alter clinical practice, then the alpha and beta errors of a trial should be equal. This applies even if a new treatment is to be compared with conventional therapy or if a treatment with high "costs” is compared with a less invasive or more inexpensive method. Copyright © Cambridge University Press 1989 International Journal of Technology Assessment in Health Care Cambridge University Press 5/3(1989-07), 459-472 0266-4623 5:3<459 1989 5 THC https://doi.org/10.1017/S0266462300007510 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1017/S0266462300007510 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Lilford Richard J. The University of Leeds NATIONALLICENCE 773 0- International Journal of Technology Assessment in Health Care Cambridge University Press 5/3(1989-07), 459-472 0266-4623 5:3<459 1989 5 THC CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-cambridge