scholarly journals Sample size calculation for studies with grouped survival data

2018 ◽  
Vol 37 (27) ◽  
pp. 3904-3917
Author(s):  
Zhiguo Li ◽  
Xiaofei Wang ◽  
Yuan Wu ◽  
Kouros Owzar
Author(s):  
Qi Jiang ◽  
Steven Snapinn ◽  
Boris Iglewicz

Author(s):  
Qi Jiang ◽  
Steven Snapinn ◽  
Boris lglewicz

Author(s):  
Qi Jiang ◽  
Steven Snapinn ◽  
Boris Iglewicz

2017 ◽  
Vol 23 (5) ◽  
pp. 644-646 ◽  
Author(s):  
Maria Pia Sormani

The calculation of the sample size needed for a clinical study is the challenge most frequently put to statisticians, and it is one of the most relevant issues in the study design. The correct size of the study sample optimizes the number of patients needed to get the result, that is, to detect the minimum treatment effect that is clinically relevant. Minimizing the sample size of a study has the advantage of reducing costs, enhancing feasibility, and also has ethical implications. In this brief report, I will explore the main concepts on which the sample size calculation is based.


1994 ◽  
Vol 13 (8) ◽  
pp. 859-870 ◽  
Author(s):  
Robert P. McMahon ◽  
Michael Proschan ◽  
Nancy L. Geller ◽  
Peter H. Stone ◽  
George Sopko

Sign in / Sign up

Export Citation Format

Share Document