Titlebook: Sample Size Determination in Clinical Trials with Multiple Endpoints; Takashi Sozu,Tomoyuki Sugimoto,Scott R. Evans Book 2015 The Author(s

SEMI

暫時(shí)休息

squander

磨碎

Convenient Sample Size Formula,ple size formula with associated numerical tables for sizing clinical trials with multiple co-primary endpoints. We provide numerical examples to illustrate use of the formula and associated tables, and provide the programming codes for the R and SAS software packages.

下邊深陷

Further Developments,elopments for designing randomized trials with other design characteristics including: (i) other inferential goals, (ii) more than two intervention groups, (iii) group sequential designs, and (iv) endpoints with other measurement scales such as time to-event.

Heresy

Binary Co-primary Endpoints,l method with and without a continuity correction, the arcsine method with and without a continuity correction, and the Fisher’s exact method. We evaluate the behavior of the sample size and empirical power associated with the methods. We also provide numerical examples to illustrate the methods.

拋射物

Endometrium

Book 2015 multiple primary or co-primary, offering an important reference work for statisticians working in this area..The determination of sample size and the evaluation of power are fundamental and critical elements in the design of clinical trials. If the sample size is too small, important effects may go

BLAZE

Introduction,apture a more complete characterization of the intervention effects and provide more informative intervention comparisons. For these reasons, use of more than one primary endpoint has become a common design feature in clinical trials for disease areas such as oncology, infectious disease, and cardio

Indelible

Continuous Co-primary Endpoints,interventions with multiple co-primary continuous endpoints in a clinical trial. We provide numerical examples to illustrate the methods and introduce conservative sample sizing strategies for these clinical trials.