Author Stallard, Nigel
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2010 | Journal Article
Refinement of the Clinical Scenario Evaluation Framework for Assessment of Competing Development Strategies With an Application to Multiple Sclerosis
Friede, T.; Nicholas, R.; Stallard, N.; Todd, S.; Parsons, N.; Valdes-Marquez, E. & Chataway, J. (2010)
DRUG INFORMATION JOURNAL, 44(6) pp. 713-718.
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2011 | Journal Article |
Software tools for implementing simulation studies in adaptive seamless designs: introducing R package ASD
Parsons, N.; Friede, T.; Todd, S. & Stallard, N. (2011)
Trials, 12(Suppl 1) pp. A8. DOI: https://doi.org/10.1186/1745-6215-12-S1-A8
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2011 | Conference Paper
Designing a seamless phase II/III clinical trial using early outcomes for treatment selection: An application in multiple sclerosis
Friede, T.; Parsons, N.; Stallard, N.; Todd, S.; Marquez, E. V.; Chataway, J. & Nicholas, R. (2011)
Statistics in Medicine, 30(13) pp. 1528-1540. , Biopharm & Hlth Grp French Soc Stat, Paris, FRANCE.
Hoboken: Wiley-blackwell. DOI: https://doi.org/10.1002/sim.4202
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2011 | Journal Article |
A novel adaptive design strategy increases the efficiency of clinical trials in secondary progressive multiple sclerosis
Chataway, J.; Nicholas, R.; Todd, S.; Miller, D. H.; Parsons, N.; Valdes-Marquez, E. & Stallard, N. et al. (2011)
MULTIPLE SCLEROSIS, 17(1) pp. 81-88. DOI: https://doi.org/10.1177/1352458510382129
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2012 | Journal Article
An R package for implementing simulations for seamless phase II/III clinical trials using early outcomes for treatment selection
Parsons, N.; Friede, T.; Todd, S.; Marquez, E. V.; Chataway, J.; Nicholas, R. & Stallard, N. (2012)
Computational Statistics & Data Analysis, 56(5) pp. 1150-1160. DOI: https://doi.org/10.1016/j.csda.2010.10.027
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2012 | Conference Paper
A conditional error function approach for subgroup selection in adaptive clinical trials
Friede, T.; Parsons, N. & Stallard, N. (2012)
Statistics in Medicine, 31(30) pp. 4309-4320. 32nd Annual Conference of the International-Society-for-Clinical-Biostatistics, Ontario, CANADA.
Hoboken: Wiley-blackwell. DOI: https://doi.org/10.1002/sim.5541
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2013 | Journal Article
A conditional error function approach for subgroup selection in adaptive clinical trials (vol 31, pg 4309, 2012)
Friede, T.; Parsons, N. & Stallard, N. (2013)
Statistics in Medicine, 32(14) pp. 2513-2514. DOI: https://doi.org/10.1002/sim.5759
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2014 | Journal Article |
Data-driven treatment selection for seamless phase II/III trials incorporating early-outcome data
Kunz, C. U.; Friede, T.; Parsons, N.; Todd, S. & Stallard, N. (2014)
Pharmaceutical Statistics, 13(4) pp. 238-246. DOI: https://doi.org/10.1002/pst.1619
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2014 | Journal Article
ADAPTIVE DESIGNS FOR CONFIRMATORY CLINICAL TRIALS WITH SUBGROUP SELECTION
Stallard, N.; Hamborg, T.; Parsons, N. & Friede, T. (2014)
Journal of Biopharmaceutical Statistics, 24(1) pp. 168-187. DOI: https://doi.org/10.1080/10543406.2013.857238
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2015 | Journal Article |
A Comparison of Methods for Treatment Selection in Seamless Phase II/III Clinical Trials Incorporating Information on Short-Term Endpoints
Kunz, C. U.; Friede, T.; Parsons, N.; Todd, S. & Stallard, N. (2015)
Journal of Biopharmaceutical Statistics, 25(1) pp. 170-189. DOI: https://doi.org/10.1080/10543406.2013.840646
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2015 | Journal Article |
Flexible selection of a single treatment incorporating short-term endpoint information in a phase II/III clinical trial
Stallard, N.; Kunz, C. U.; Todd, S.; Parsons, N. & Friede, T. (2015)
Statistics in Medicine, 34(23) pp. 3104-3115. DOI: https://doi.org/10.1002/sim.6567
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2016 | Journal Article |
Methods for identification and confirmation of targeted subgroups in clinical trials: A systematic review
Ondra, T.; Dmitrienko, A.; Friede, T.; Graf, A.; Miller, F.; Stallard, N. & Posch, M. (2016)
Journal of Biopharmaceutical Statistics, 26(1) pp. 99-119. DOI: https://doi.org/10.1080/10543406.2015.1092034
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2016 | Review |
Systematic reviews in paediatric multiple sclerosis and Creutzfeldt-Jakob disease exemplify shortcomings in methods used to evaluate therapies in rare conditions
Unkel, S.; Roever, C. ; Stallard, N.; Benda, N.; Posch, M.; Zohar, S.& Friede, T. (2016)
Orphanet Journal of Rare Diseases, 11.
Biomed Central Ltd. DOI: https://doi.org/10.1186/s13023-016-0402-6
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2017 | Journal Article
Dose-finding methods for Phase I clinical trials using pharmacokinetics in small populations
Ursino, M.; Zohar, S.; Lentz, F.; Alberti, C.; Friede, T. ; Stallard, N. & Comets, E. (2017)
Biometrical Journal, 59(4) pp. 804-825. DOI: https://doi.org/10.1002/bimj.201600084
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2017 | Journal Article |
Blinded versus unblinded estimation of a correlation coefficient to inform interim design adaptations
Kunz, C. U.; Stallard, N.; Parsons, N.; Todd, S. & Friede, T. (2017)
Biometrical Journal, 59(2) pp. 344-357. DOI: https://doi.org/10.1002/bimj.201500233
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2018 | Journal Article |
A dose finding design for seizure reduction in neonates
Ursino, M.; Yuan, Y.; Alberti, C.; Comets, E.; Favrais, G.; Friede, T. & Lentz, F. et al. (2018)
Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(2) pp. 427-444. DOI: https://doi.org/10.1111/rssc.12289
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2018 | Journal Article |
Recent advances in methodology for clinical trials in small populations: the InSPiRe project.
Friede, T. ; Posch, M.; Zohar, S.; Alberti, C.; Benda, N.; Comets, E. & Day, S. et al. (2018)
Orphanet Journal of Rare Diseases, 13 art. 186. DOI: https://doi.org/10.1186/s13023-018-0919-y
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2020 | Journal Article
Adaptive seamless clinical trials using early outcomes for treatment or subgroup selection: Methods, simulation model and their implementation in R
Friede, T. ; Stallard, N. & Parsons, N. (2020)
Biometrical Journal, 62(5) pp. 1264-1283. DOI: https://doi.org/10.1002/bimj.201900020
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2020 | Journal Article
Clinical Trials Impacted by the COVID-19 Pandemic: Adaptive Designs to the Rescue?
Kunz, C. U.; Jörgens, S.; Bretz, F.; Stallard, N.; Van Lancker, K.; Xi, D. & Zohar, S. et al. (2020)
Statistics in Biopharmaceutical Research, 12(4) pp. 461-477. DOI: https://doi.org/10.1080/19466315.2020.1799857
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2020 | Journal Article
Efficient Adaptive Designs for Clinical Trials of Interventions for COVID-19
Stallard, N.; Hampson, L.; Benda, N.; Brannath, W.; Burnett, T.; Friede, T. & Kimani, P. K. et al. (2020)
Statistics in Biopharmaceutical Research, 12(4) pp. 483-497. DOI: https://doi.org/10.1080/19466315.2020.1790415
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2021 | Journal Article
Identification of subgroup effect with an individual participant data meta-analysis of randomised controlled trials of three different types of therapist-delivered care in low back pain
Mistry, D.; Friede, T.; Lamb, S. E.; Stallard, N.; Underwood, M.; Patel, S. & Hee, S. W. (2021)
BMC Musculoskeletal Disorders, 22(1) art. 191. DOI: https://doi.org/10.1186/s12891-021-04028-8
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2023 | Journal Article
Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions
Calderazzo, S.; Tarima, S.; Reid, C.; Flournoy, N.; Friede, T.; Geller, N. & Rosenberger, J. L et al. (2023)
Statistics in Biopharmaceutical Research, pp. 1-17. DOI: https://doi.org/10.1080/19466315.2023.2211023
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