The effects of sample size on the estimation of regression mixture models

Jaki, T. F., Kim, M., Lamont, A. E., George, M., Feaster, D. & Van Horn, M. L., 1/04/2019, In: Educational and Psychological Measurement. 79, 2, p. 358-384 27 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Instrumental variable estimation in semi-parametric additive hazards models

Brueckner, M., Titman, A. C. & Jaki, T. F., 1/03/2019, In: Biometrics. 75, 1, p. 110-120 11 p.

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The R package MAMS for designing multi-arm multi-stage clinical trials

Jaki, T. F., Pallmann, P. S. & Magirr, D., 31/01/2019, In: Journal of Statistical Software. 88, 4, 25 p.

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How to design a dose-finding study using the continual reassessment method

Wheeler, G. M., Mander, A. P., Bedding, A., Brock, K., Cornelius, V., Grieve, A. P., Jaki, T., Love, S. B., Odondi, L., Weir, C. J., Yap, C. & Bond, S. J., 18/01/2019, In: BMC Medical Research Methodology. 19, 1, 15 p., 18.

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Editorial for the MCP 2017 Special Issue

Cui, X., Hsu, J. C. & Jaki, T., 11/01/2019, In: Biometrical Journal. 61, 1, p. 7 1 p.

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Confidence regions for treatment effects in subgroups in biomarker stratified designs

Wan, F., Kunz, C. U. & Jaki, T. F., 1/01/2019, In: Biometrical Journal. 61, 1, p. 27-39 13 p.

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An alternative method to analyse the Biomarker-strategy design

Kunz, C. U., Jaki, T. F. & Stallard, N., 30/12/2018, In: Statistics in Medicine. 37, 30, p. 4636-4651 16 p.

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Design and estimation in clinical trials with subpopulation selection

Chiu, Y.-D., Koenig, F., Posch, M. & Jaki, T. F., 20/12/2018, In: Statistics in Medicine. 37, 29, p. 4335-4352 18 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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Development process of a consensus-driven CONSORT extension for randomised trials using an adaptive design

Dimairo, M., Coates, E., Pallmann, P., Todd, S., Julious, S. A., Jaki, T., Wason, J., Mander, A. P., Weir, C. J., Koenig, F., Walton, M. K., Biggs, K., Nicholl, J., Hamasaki, T., Proschan, M. A., Scott, J. A., Ando, Y., Hind, D. & Altman, D. G., 16/11/2018, In: BMC Medicine. 16, 1, 20 p.

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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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Subgroup identification in clinical trials via the predicted individual treatment effect

Ballarini, N. M., Rosenkranz, G. K., Jaki, T., König, F. & Posch, M., 18/10/2018, In: PLoS ONE. 13, 10, 22 p., e0205971.

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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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A proposal for a new PhD level curriculum on quantitative methods for drug development

Jaki, T. F., Gordon, A., Forster, P. S., Bijnens, L., Bornkamp, B., Brannath, W., Fontana, R., Gasparini, M., Hampson, L. V., Jacobs, T., Jones, B., Paoletti, X., Posch, M., Titman, A. C., Vonk, R. & Koenig, F., 09/2018, In: Pharmaceutical Statistics. 17, 5, p. 593-606 14 p.

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Dose-escalation strategies which utilise subgroup information

Cotterill, A. & Jaki, T. F., 09/2018, In: Pharmaceutical Statistics. 17, 5, p. 414-436 13 p.

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Model selection based on combined penalties for biomarker identification

Vradi, E., Brannath, W., Jaki, T. & Vonk, R., 4/07/2018, In: Journal of Biopharmaceutical Statistics. 28, 4, p. 735-749 15 p.

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An information-theoretic Phase I/II design for molecularly targeted agents that does not require an assumption of monotonicity

Mozgunov, P. & Jaki, T. F., 15/06/2018, (E-pub ahead of print) In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 68, 2, p. 347-367 21 p.

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A review of the deterministic and diffusion approximations for stochastic chemical reaction networks

Mozgunov, P., Beccuti, M., Horvath, A., Jaki, T. F., Sirovich, R. & Bibbona, E., 04/2018, In: Reaction Kinetics, Mechanisms and Catalysis. 123, 2, p. 289-312 24 p.

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Extrapolation of efficacy and other data to support the development of new medicines for children: a systematic review of methods

Wadsworth, I., Hampson, L. V. & Jaki, T. F., 1/02/2018, In: Statistical Methods in Medical Research. 27, 2, p. 398-413 16 p.

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A review of statistical updating methods for clinical prediction models

Su, T.-L., Jaki, T. F., Hickey, G., Buchan, I. & Sperrin, M., 1/01/2018, In: Statistical Methods in Medical Research. 27, 1, p. 185-197 13 p.

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Identification of Predicted Individual Treatment Effects (PITE) in randomized clinical trials

Lamont, A. E., Lyons, M., Jaki, T. F., Stuart, E. A., Feaster, D., Ishwaran, H., Tharmaratnam, K. & Van Horn, M. L., 1/01/2018, In: Statistical Methods in Medical Research. 27, 1, p. 142-157 16 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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Simultaneous confidence regions for multivariate bioequivalence

Pallmann, P. S. & Jaki, T. F., 20/12/2017, In: Statistics in Medicine. 36, 29, p. 4585-4603 19 p.

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Comparing sampling methods for pharmacokinetic studies using model averaged derived parameters

Barnett, H. Y., Geys, H., Jacobs, T. & Jaki, T., 30/11/2017, In: Statistics in Medicine. 36, 27, p. 4301-4315 15 p.

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Estimation in multi-arm two-stage trials with treatment selection and time-to-event endpoint

Brueckner, M., Titman, A. C. & Jaki, T. F., 10/09/2017, In: Statistics in Medicine. 36, 20, p. 3137-3153 17 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review