Model-Based dose escalation Designs in R with crmPack

Bové, D. S., Yeung, W. Y., Palermo, G. & Jaki, T., 13/06/2019, In: Journal of Statistical Software. 89, 10, 22 p.

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Modeling predictors of latent classes in regression mixture models

Kim, M., Vermunt, J., Bakk, Z., Jaki, T. F. & Van Horn, M. L., 06/2016, In: Structural Equation Modeling. 23, 4, p. 601-614 14 p.

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Multi-arm clinical trials with treatment selection: what can be gained and at what price?

Jaki, T., 04/2015, In: Clinical Investigation. 5, 4, p. 393-399 7 p.

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Multi-arm multi-stage trials can improve the efficiency of finding effective treatments for stroke: a case study

Jaki, T. & Wason, J. M. S., 27/11/2018, In: BMC Cardiovascular Disorders. 18, 1, 8 p., 215.

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Multiplicity: discussion points from the PSI multiplicity expert group

Phillips, A., Fletcher, C., Atkinson, G., Channon, E., Douiri, A., Jaki, T., Maca, J., Morgan, D., Roger, J. H. & Terrill, P., 09/2013, In: Pharmaceutical Statistics. 12, 5, p. 255-259 5 p.

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Non-compartmental estimation of pharmacokinetic parameters for flexible sampling designs

Jaki, T. & Wolfsegger, M. J., 2012, In: Statistics in Medicine. 31, 11-12, p. 1059-1073 25 p.

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Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs.

Wolfsegger, M. J. & Jaki, T., 10/2009, In: Journal of Pharmacokinetics and Pharmacodynamics. 36, 5, p. 479-494

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Not quite normal: Consequences of violating the assumption of normality with regression mixture models

Van Horn, M. L., Smith, J., Fagan, A., Jaki, T., Maysn, K., Hawkins, D., Feaster, D. & Howe, G., 2012, In: Structural Equation Modeling. 19, 2, p. 227-249 23 p.

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One- and two-stage design proposals for a phase II trial comparing three active treatments with control using an ordered categorical endpoint.

Whitehead, J. & Jaki, T., 28/02/2009, In: Statistics in Medicine. 28, 5, p. 828-847 20 p.

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Optimal design of multi-arm multi-stage trials

Wason, J. & Jaki, T., 30/12/2012, In: Statistics in Medicine. 31, 30, p. 4269-4279 11 p.

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Optimal Designs for Non-Compartmental Analysis of Pharmacokinetic Studies

Barnett, H. Y., Geys, H., Jacobs, T. & Jaki, T. F., 2018, In: Statistics in Biopharmaceutical Research. 10, 4, p. 255-263 9 p.

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Optimal dose and safety of molnupiravir in patients with early SARS-CoV-2: a Phase I, open-label, dose-escalating, randomized controlled study

Khoo, S. H., Fitzgerald, R., Fletcher, T., Ewings, S., Jaki, T., Lyon, R., Downs, N., Walker, L., Tansley-Hancock, O., Greenhalf, W., Woods, C., Reynolds, H., Marwood, E., Mozgunov, P., Adams, E., Bullock, K., Holman, W., Bula, M. D., Gibney, J. L., Saunders, G., & 18 othersCorkhill, A., Hale, C., Thorne, K., Chiong, J., Condie, S., Pertinez, H., Painter, W., Wrixon, E., Johnson, L., Yeats, S., Mallard, K., Radford, M., Fines, K., Shaw, V., Owen, A., Lalloo, D. G., Jacobs, M. & Griffiths, G., 12/11/2021, In: Journal of Antimicrobial Chemotherapy. 76, 12, p. 3286-3295 10 p.

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Optimization, refinement and reduction of murine in vivo experiments to assess therapeutic approaches for hemophilia A.

Baumgartner, B., Jaki, T., Wolfsegger, M. J., Eder, B., Schiviz, A., Schwarz, H. P. & Muchitsch, E. M., 07/2010, In: Laboratory Animals. 44, 3, p. 211-217 7 p.

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Optimizing subgroup selection in two-stage adaptive enrichment and umbrella designs

Ballarini, N. M., Burnett, T., Jaki, T., Jennison, C., König, F. & Posch, M., 31/05/2021, In: Statistics in Medicine. 40, 12, p. 2939-2956 18 p.

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Performance of different clinical trial designs to evaluate treatments during an epidemic

Brueckner, M., Titman, A. C., Jaki, T. F., Rojek, A. & Horby, P. W., 11/09/2018, In: PLoS ONE. 13, 9, 19 p., e0203387.

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Planning multi-arm screening studies within the context of a drug development programme

Wason, J., Jaki, T. & Stallard, N., 10/09/2013, In: Statistics in Medicine. 32, 20, p. 3424-3435 12 p.

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Point estimation for adaptive trial designs I: A methodological review

Robertson, D. S., Choodari‐Oskooei, B., Dimairo, M., Flight, L., Pallmann, P. & Jaki, T., 30/01/2023, In: Statistics in Medicine. 42, 2, p. 122-145 24 p.

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Practical guidance for planning resources required to support publicly-funded adaptive clinical trials

Wason, J. M. S., Dimairo, M., Biggs, K., Bowden, S., Brown, J., Flight, L., Hall, J., Jaki, T., Lowe, R., Pallmann, P., Pilling, M. A., Snowdon, C., Sydes, M. R., Villar, S. S., Weir, C. J., Wilson, N., Yap, C., Hancock, H. & Maier, R., 10/08/2022, In: BMC Medicine. 20, 1, 12 p., 254.

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Practical implementation of the partial ordering continual reassessment method in a Phase I combination‐schedule dose‐finding trial

Mozgunov, P., Jaki, T., Gounaris, I., Goddemeier, T., Victor, A. & Grinberg, M., 30/12/2022, In: Stat. Med.. 41, 30, p. 5789-5809 21 p.

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Practical recommendations for implementing a Bayesian adaptive phase I design during a pandemic

Ewings, S., Saunders, G., Jaki, T. & Mozgunov, P., 20/01/2022, In: BMC Medical Research Methodology. 22, 1, 15 p., 25.

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Principles of dose finding studies in cancer: a comparison of trial designs

Jaki, T., Clive, S. & Weir, C., 05/2013, In: Cancer Chemotherapy and Pharmacology. 71, 5, p. 1107-1114 8 p.

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Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models.

Sperrin, M., Jaki, T. & Wit, E., 07/2010, In: Statistics and Computing. 20, 3, p. 357-366 10 p.

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Proposing a Core Outcome Set for Physical Activity and Exercise Interventions in People With Rare Neurological Conditions

Ramdharry, G., Buscemi, V., Boaz, A., Dawes, H., Jaki, T., Jones, F., Marsden, J., Paul, L., Playle, R., Randell, E., Robling, M., Rochester, L. & Busse, M., 21/10/2021, (E-pub ahead of print) In: Frontiers in Rehabilitation Sciences. 2, 13 p., 705474.

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Randomized dose-escalation designs for drug combination cancer trials with immunotherapy

Mozgunov, P., Jaki, T. F. & Paoletti, X., 23/10/2018, (E-pub ahead of print) In: Journal of Biopharmaceutical Statistics. 29, 2, p. 359-377 19 p.

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Recording lectures as a service in a service course.

Jaki, T., 11/2009, In: Journal of Statistics Education. 17, 3

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