Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Janis Hardwick"'
Autor:
Quentin F. Stout, Janis Hardwick
Publikováno v:
Wiley Interdisciplinary Reviews: Computational Statistics. 1:118-122
An experimental design is a formula or algorithm that specifies how resources are to be utilized throughout a study. The design is considered to be good or even optimal if it allows for sufficiently precise and accurate data analysis with the least o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c5eede98439c91a785144173a6a3017
https://doi.org/10.1002/wics.25
https://doi.org/10.1002/wics.25
Autor:
Quentin F. Stout, Janis Hardwick
Publikováno v:
Journal of Statistical Planning and Inference. 137:2654-2665
This paper examines the design and performance of sequential experiments where extensive switching is undesirable. Given an objective function to optimize by sampling between Bernoulli populations, two different models are considered. The constraint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24de28c0060f7afc14158082bee3902b
https://doi.org/10.1016/j.jspi.2006.04.013
https://doi.org/10.1016/j.jspi.2006.04.013
Publikováno v:
Journal of Statistical Planning and Inference. 136:1940-1955
Adaptive designs are effective mechanisms for flexibly allocating experimental resources. In clinical trials particularly, such designs allow researchers to balance short- and long-term goals. Unfortunately, fully sequential strategies require outcom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285c1b6b52d2e8e97f4956efffec5de7
https://doi.org/10.1016/j.jspi.2005.08.013
https://doi.org/10.1016/j.jspi.2005.08.013
Autor:
Janis Hardwick, Quentin F. Stout
Publikováno v:
Journal of Statistical Planning and Inference. 132:149-162
We describe a cost- and constraint-based decision-theoretic approach to the design of screening trials, where the goal is to identify promising candidates for future study or to decide whether to accept or reject a product. An algorithmic method for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ed63f1c583a13586b4e62849ef801c7
https://doi.org/10.1016/j.jspi.2004.06.020
https://doi.org/10.1016/j.jspi.2004.06.020
Publikováno v:
Biometrics. 59:229-236
SUMMARY: We examine adaptive allocation designs for the problem of determining the optimal therapeutic dose for subjects in early phase clinical trials. A su bject can fail due to lack of efficacy or due to a toxic reaction. Successful subjects will
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::880a4d2fc6274d0006c93c6de64f3c79
https://doi.org/10.1111/1541-0420.00029
https://doi.org/10.1111/1541-0420.00029
Autor:
Janis Hardwick, Quentin F. Stout
Publikováno v:
Journal of Statistical Planning and Inference. 104:121-145
Optimal designs are presented for experiments in which sampling is carried out in stages. There are two Bernoulli populations and it is assumed that the outcomes of the previous stage are available before the sampling design for the next stage is det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b93b26b372d18545c8e96dc8dbc2412
https://doi.org/10.1016/s0378-3758(01)00242-7
https://doi.org/10.1016/s0378-3758(01)00242-7
Publikováno v:
Scientific Programming, Vol 8, Iss 3, Pp 183-193 (2000)
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning algorithms for a stochastic environment, and we focus on the problem of o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ee74221a4ee00e202c44bbde20b7ef
https://doaj.org/article/e1249dbb6b3a4d27b882ea3ec3360746
https://doaj.org/article/e1249dbb6b3a4d27b882ea3ec3360746
Publikováno v:
Computational Statistics & Data Analysis. 31:397-416
A program for optimizing and analyzing sequential allocation problems involving three Bernoulli populations and a general objective function is described. Previous researchers had considered this problem computationally intractable, and there appears
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d53925890fa839d9dcd7ddf9cac9fd8
https://doi.org/10.1016/s0167-9473(99)00039-0
https://doi.org/10.1016/s0167-9473(99)00039-0
Autor:
Quentin F. Stout, Janis Hardwick
Publikováno v:
SIAM Journal on Scientific Computing. 21:67-87
Path induction is a technique used to speed the process of making multiple exact evaluations of a sequential allocation procedure, where the options are discrete and their outcomes follow a discrete distribution. Multiple evaluations are needed for d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60e31d2f7e8117bd44d98c8a119869e7
https://doi.org/10.1137/s1064827595291820
https://doi.org/10.1137/s1064827595291820
Publikováno v:
Journal of the American Statistical Association. 93:1502-1511
To estimate a success probability p, two experiments are available: individual Bernoulli (p) trials or the product of τ individual Bernoulli (p) trials. This problem has its roots in reliability where either single components can be tested or a syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d1d4d1cf408d6ca8d9cef2a9217584c
https://doi.org/10.1080/01621459.1998.10473809
https://doi.org/10.1080/01621459.1998.10473809