Results 31 to 40 of about 1,987,342 (275)

Optimizing prevalence estimates for a novel pathogen by reducing uncertainty in test characteristics

Epidemics, 2022
Emergence of a novel pathogen drives the urgent need for diagnostic tests that can aid in defining disease prevalence. The limitations associated with rapid development and deployment of these tests result in a dilemma: In efforts to optimize prevalence ...
Daniel B. Larremore, Bailey K. Fosdick, Sam Zhang, Yonatan H. Grad   +3 more
doaj   +1 more source

Practical guide to sample size calculations: superiority trials [PDF]

, 2016
A sample size justification is a vital part of any investigation. However, estimating the number of participants required to give meaningful results is not always straightforward.
Flight, Flight, Julious, Julious, Palmer
core   +1 more source

Practical guide to sample size calculations: non-inferiority and equivalence trials [PDF]

, 2016
A sample size justification is a vital part of any trial design. However, estimating the number of participants required to give a meaningful result is not always straightforward.
Bland, Flight, Flight, Jones, Julious, Julious, Julious, Julious, Morikawa   +8 more
core   +1 more source

Considerations when calculating the sample size for an inequality test [PDF]

Korean Journal of Anesthesiology, 2016
Click here for Korean Translation.Calculating the sample size is a vital step during the planning of a study in order to ensure the desired power for detecting clinically meaningful differences.
Junyong In
doaj   +1 more source

Sample Size Calculation and Power Analysis of Time-Averaged Difference [PDF]

, 2005
Little research has been done on sample size and power analysis under repeated measures design. With detailed derivation, we have shown sample size calculation and power analysis equations for timeaveraged difference to allow unequal sample sizes between
Liu, Honghu, Wu, Tongtong
core   +2 more sources

Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide [PDF]

, 2015
Discrete-choice experiments (DCEs) have become a commonly used instrument in health economics and patient-preference analysis, addressing a wide range of policy questions.
Bekker-Grob, E.W. (Esther) de, Donkers, A.C.D. (Bas), Jonker, M.F. (Marcel F.), Stolk, E.A. (Elly)   +3 more
core   +5 more sources

FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test [PDF]

, 2015
The maximum mean discrepancy (MMD) is a recently proposed test statistic for two-sample test. Its quadratic time complexity, however, greatly hampers its availability to large-scale applications.
Meng, Deyu, Zhao, Ji
core   +1 more source

Quantum-to-classical crossover of mesoscopic conductance fluctuations [PDF]

, 2004
We calculate the system-size-over-wave-length ($M$) dependence of sample-to-sample conductance fluctuations, using the open kicked rotator to model chaotic scattering in a ballistic quantum dot coupled by two $N$-mode point contacts to electron ...
A. Kormanyos, A. Lodder, A. Ossipov, A. Tajic, B.L. Altshuler, C. W. J. Beenakker, E.B. Bogomolny, F. Borgonovi, F. Borgonovi, H.U. Baranger, I. Adagideli, I.L. Aleiner, J. Tworzydło, J. Tworzydło, M.C. Goorden, M.G. Vavilov, O. Agam, P.A. Lee, P.G. Silvestrov, P.G. Silvestrov, Ph. Jacquod, Ph. Jacquod, R.A. Jalabert, R.E. Prange, Y.V. Fyodorov   +24 more
core   +3 more sources

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

The research protocol V: The calculation of sample size

Revista Alergia México, 2017
Sample size refers to the number of participants to be included in a research study. If the calculation is carried out properly, not only conclusions will be established with statistical support and the potential risks to the subjects included in the ...
Mario Enrique Rendón-Macías, Miguel Ángel Villasís-Keever   +1 more
doaj   +1 more source