Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Nancy Flournoy"'
Autor:
Adam Lane, Nancy Flournoy
Publikováno v:
Journal of Probability and Statistics, Vol 2012 (2012)
In adaptive optimal procedures, the design at each stage is an estimate of the optimal design based on all previous data. Asymptotics for regular models with fixed number of stages are straightforward if one assumes the sample size of each stage goes
Externí odkaz:
https://doaj.org/article/d2df0e2c10cd4870819bc4abc255b778
Autor:
Silvia Calderazzo, Sergey Tarima, Carissa Reid, Nancy Flournoy, Tim Friede, Nancy Geller, James L Rosenberger, Nigel Stallard, Moreno Ursino, Marc Vandemeulebroecke, Kelly Van Lancker, Sarah Zohar
Publikováno v:
Statistics in Biopharmaceutical Research. :1-33
Clinical trials disruption has always represented a non negligible part of the ending of interventional studies. While the SARS-CoV-2 (COVID-19) pandemic has led to an impressive and unprecedented initiation of clinical research, it has also led to c
Publikováno v:
Stochastic Analysis and Applications. :1-19
Autor:
Nancy Flournoy, Sergey Tarima
Publikováno v:
Metrika
Sequential likelihood ratio testing is found to be most powerful in sequential studies with early stopping rules when grouped data come from the one-parameter exponential family. First, to obtain this elusive result, the probability measure of a grou
Autor:
Nancy Flournoy, Sergey Tarima
Publikováno v:
Statistical Papers.
Autor:
Sergey Tarima, Nancy Flournoy
Publikováno v:
Statistical Papers.
Autor:
Kelly Van Lancker, Sergey Tarima, Jonathan Bartlett, Madeline Bauer, Bharani Bharani-Dharan, Frank Bretz, Nancy Flournoy, Hege Michiels, Camila Olarte Parra, James L Rosenberger, Suzie Cro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbe97462c5e30ef45f78db519d194421
http://hdl.handle.net/10044/1/103342
http://hdl.handle.net/10044/1/103342
Publikováno v:
Biometrics.
When there is a predictive biomarker, enrichment can focus the clinical trial on a benefiting subpopulation. We describe a two-stage enrichment design, in which the first stage is designed to efficiently estimate a threshold and the second stage is a
Publikováno v:
Journal of Statistical Planning and Inference. 214:139-150
This work studies the properties of the maximum likelihood estimator (MLE) of a multidimensional parameter in a nonlinear model with additive Gaussian errors. The observations are collected in a two-stage experimental design and are dependent because
Autor:
Nancy Flournoy
Publikováno v:
Statistics in Biopharmaceutical Research. 15:92-93