Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Kim May Lee"'
Autor:
Elizabeth Ball, Babu Karavadra, Bethany Jade Kremer-Yeatman, Connor Mustard, Kim May Lee, Sharandeep Bhogal, Julie Dodds, Andrew W Horne, John Allotey, Carol Rivas
Publikováno v:
Reproduction and Fertility, Vol 2, Iss 1, Pp 69-80 (2021)
Background: Up to 28% of endometriosis patients do not get pain relief from therapeutic laparoscopy but this subgroup is not defined. Objectives: To identify any prognostic patient-specific factors (such as but not limited to patients’ type or loca
Externí odkaz:
https://doaj.org/article/b91c93c32289402d86dca50b3747e7d8
Publikováno v:
Trials, Vol 22, Iss 1, Pp 1-10 (2021)
Abstract Background Platform trials improve the efficiency of the drug development process through flexible features such as adding and dropping arms as evidence emerges. The benefits and practical challenges of implementing novel trial designs have
Externí odkaz:
https://doaj.org/article/e153b54a87034a1fb0faabe561699ba4
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0274272 (2022)
When comparing the performance of multi-armed bandit algorithms, the potential impact of missing data is often overlooked. In practice, it also affects their implementation where the simplest approach to overcome this is to continue to sample accordi
Externí odkaz:
https://doaj.org/article/09a455d145f74a119a7905d3f3b76f7b
Autor:
Kim May Lee, James Wason
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-12 (2020)
Abstract Background Platform trials allow adding new experimental treatments to an on-going trial. This feature is attractive to practitioners due to improved efficiency. Nevertheless, the operating characteristics of a trial that adds arms have not
Externí odkaz:
https://doaj.org/article/dbfee75080ef486aacb699a04c6762f4
Publikováno v:
Statistics in Medicine. 42:1156-1170
Publikováno v:
Anesthesiology. 136:148-161
Background The relationship between late clinical outcomes after injury and early dynamic changes between fibrinolytic states is not fully understood. The authors hypothesized that temporal transitions in fibrinolysis states using rotational thromboe
Publikováno v:
King's College London
Response-Adaptive Randomization (RAR) is part of a wider class of data-dependent sampling algorithms, for which clinical trials are typically used as a motivating application. In that context, patient allocation to treatments is determined by randomi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55727895f1e8e0bd8df7641a52891a9c
Peer reviewed: True
Funder: Biometrika Trust
Funder: NIHR Maudsley Biomedical Research Centre
Covariate adjustment via a regression approach is known to increase the precision of statistical inference when fixed trial designs are emplo
Funder: Biometrika Trust
Funder: NIHR Maudsley Biomedical Research Centre
Covariate adjustment via a regression approach is known to increase the precision of statistical inference when fixed trial designs are emplo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9ca76a87fe69280cba8f2d4c6b59c54
Autor:
Babu Karavadra, Elizabeth Ball, Sharandeep Bhogal, Connor Mustard, Andrew W Horne, Julie Dodds, John Allotey, Carol Rivas, Bethany Jade Kremer-Yeatman, Kim May Lee
Publikováno v:
Reproduction and Fertility, Vol 2, Iss 1, Pp 69-80 (2021)
Reproduction & Fertility
Reproduction & Fertility
Background Up to 28% of endometriosis patients do not get pain relief from therapeutic laparoscopy but this subgroup is not defined. Objectives To identify any prognostic patient-specific factors (such as but not limited to patients’ type or locati
Autor:
Kevin Kunzmann, Michael J. Grayling, Kim May Lee, David S. Robertson, Kaspar Rufibach, James M. S. Wason
Adapting the final sample size of a trial to the evidence accruing during the trial is a natural way to address planning uncertainty. Designs with adaptive sample size need to account for their optional stopping to guarantee strict type-I error-rate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8255fd8ea12616197e0cae51f5f9dd38