Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shenghua Kelly Fan"'
Autor:
Shenghua Kelly Fan
Publikováno v:
Journal of Data Science. 7:331-347
This paper proposes a parametric method for estimating animal abundance using data from independent observer line transect surveys. This method allows measurement errors in distance and size, and less than 100% detection rates on the transect line. B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45fbe5f1b356640896f3dc1df4a80a52
https://doi.org/10.6339/jds.2009.07(3).476
https://doi.org/10.6339/jds.2009.07(3).476
Autor:
Ying Lu, Shenghua Kelly Fan
Publikováno v:
Statistics in Biopharmaceutical Research. 4:324-335
Most phase II cancer trials evaluate total response (TR) rate using a single-arm open-label design. Simon's two-stage design minimizes either the expected or the total number of patients. In this article, we investigate the distribution of time to re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7f692434194d6de84eafa298ed2d7f6
https://doi.org/10.1080/19466315.2012.695258
https://doi.org/10.1080/19466315.2012.695258
Autor:
Bee Leng Lee, Shenghua Kelly Fan
Publikováno v:
Journal of Biopharmaceutical Statistics. 22:802-818
Existing algorithms for identifying the maximum tolerated combination in dose-finding trials of two agents are mostly one-dimensional. Moreover, these algorithms use only the frequency of observed dose-limiting toxicities as the basis for dose escala
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::357f44c67112765c635a47f7cd427eec
https://doi.org/10.1080/10543406.2012.676587
https://doi.org/10.1080/10543406.2012.676587
Autor:
Kathryn Chaloner, Shenghua Kelly Fan
Publikováno v:
Journal of Statistical Planning and Inference. 126:347-360
Designs for the continuation-ratio model for a trinomial response will be described. For the situation where the three response categories are: “no response”, “efficacy” and “adverse reaction”, both D-optimal designs and c-optimal designs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5b63c7ff891efa5eb258a2b6285e0d2
https://doi.org/10.1016/j.jspi.2003.08.004
https://doi.org/10.1016/j.jspi.2003.08.004
Autor:
Shenghua Kelly Fan, Kathryn Chaloner
Publikováno v:
Journal of Statistical Planning and Inference. 113:249-257
If a candidate c-optimal design gives a singular information matrix, an equivalence theorem from Silvey (1978) can be used to verify optimality. The theorem is difficult to use however, as it requires a generalized inverse of the information matrix b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6862b1f0748dc4d45c7c1d9920e6a37f
https://doi.org/10.1016/s0378-3758(01)00289-0
https://doi.org/10.1016/s0378-3758(01)00289-0
Publikováno v:
Journal of biopharmaceutical statistics. 19(3)
Combination therapy of two antitumor agents may provide treatment additivity or synergy. Phase I trials for combination therapy search for the maximum tolerated dose (MTD) for combined agents. The conventional approach is to preselect an escalation p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecefdcecadbafd4f5e5890f4ba670342
https://pubmed.ncbi.nlm.nih.gov/19384692
https://pubmed.ncbi.nlm.nih.gov/19384692
