
Dr Philip Pallmann
Deputy Director Research Design and Conduct Service and Research Fellow
- pallmannp@cardiff.ac.uk
- +44 (0)29 2068 7461
- 505, 5th floor, Neuadd Meirionnydd, University Hospital of Wales, Heath Park, Cardiff, CF14 4YS
- Available for postgraduate supervision
Biography
Education and qualifications
- 2016: PhD Biostatistics, Leibniz Universität Hannover
- 2012: MSc Plant Biotechnology, Leibniz Universität Hannover
- 2010: BSc Plant Biotechnology, Leibniz Universität Hannover
Honours and awards
- 2013: Bernd Streitberg Award of the International Biometric Society (German Region) for my MSc dissertation Two-sample tests and multiple contrast tests of several diversity indices
2012: Second Prize for Best Student Oral Presentation at the 36th International Biometric Conference in Kobe, Japan
Professional memberships
- Adaptive Designs Working Group, MRC-NIHR Trials Methodology Research Partnership
- European Huntington's Disease Network
Academic positions
- 2017 - present: Research Fellow & RDCS Deputy Director, Centre for Trials Research, Cardiff University
- 2015 - 2017: Senior Research Associate, Department of Mathematics & Statistics, Lancaster University
- 2012 - 2015: Research Associate, Institute of Biostatistics, Leibniz Universität Hannover
- 2010 - 2012: Research Assistant, Institute of Biostatistics, Leibniz Universität Hannover
- 2009 - 2010: Teaching Assistant, Institute of Plant Diseases and Plant Protection, Leibniz Universität Hannover
Committees and reviewing
- Independent Trial Steering Committee member: PLAN-A, Empathica, NOTACS (currently); AML18/19/LI1 (previously)
- Independent Data Monitoring Committee member: ABC Sepsis, CANTOP-RCT
- Grant application reviewer for NIHR (HTA, EME, PHR, HS&DR), MRC (BMC DPFS), MRC-NIHR (Methodology Research Programme), UKRI (Future Leaders Fellowship), HCRW (PhD Health Studentship, Pathway to Portfolio), DFG
- Associate Editor for Trials
- Manuscript reviewer for journals including Statistics in Medicine, Journal of Statistical Software, Biometrical Journal, The American Statistician, Statistical Methods in Medical Research, Statistics, Journal of Applied Statistics, Journal of Biopharmaceutical Statistics, Communications in Statistics - Simulation and Computation, Journal of Computational & Graphical Statistics, Statistica Neerlandica, PLOS One, PeerJ, Trials, Clinical Trials, Contemporary Clinical Trials, Frontiers in Neurology, Nature Human Behaviour, The AAPS Journal, The British Student Doctor Journal, Environmental Science & Pollution Research, Pest Management Science (see my Publons profile)
- Book proposal reviewer for Cambridge University Press
- Abstract reviewer for ESPID 38th Annual Meeting 2020
Publications
2020
- Burnett, T.et al. 2020. Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs. BMC Medicine 18, article number: 352. (10.1186/s12916-020-01808-2)
- Wheeler, M., Powell, E. and Pallmann, P. 2020. Use of high-fidelity simulation training for radiology healthcare professionals in the management of acute medical emergencies. British Journal of Radiology (10.1259/bjr.20200520)
- Romaine, S. T.et al. 2020. Accuracy of a modified qSOFA score for predicting critical care admission in febrile children. Pediatrics 146(4), article number: e20200782. (10.1542/peds.2020-0782)
- Dimairo, M.et al. 2020. The Adaptive designs CONSORT Extension (ACE) Statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design. BMJ 369, article number: m115. (10.1136/bmj.m115)
- Dimairo, M.et al. 2020. The Adaptive designs CONSORT Extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design. Trials 21, article number: 528. (10.1186/s13063-020-04334-x)
- Parkes, M.et al. 2020. Futility of the treatment, rather than futility of the trial, as the primary focus of interim analyses in clinical trials. Presented at: Society for Clinical Trials (SCT) 40th Annual Meeting, New Orleans, LA, US, 19-22 May 2019, Vol. 17. Vol. 1_Supp. SAGE Publications (UK and US) pp. 62., (10.1177/1740774520907457)
- Powell, E.et al. 2020. Introduction of standardized, cumulative quantitative measurement of blood loss into routine maternity care. Journal of Maternal-Fetal and Neonatal Medicine (10.1080/14767058.2020.1759534)
- Pallmann, P.et al. 2020. Designing and evaluating dose-escalation studies made easy: the MoDEsT web app. Clinical Trials 17(2), pp. 147-156. (10.1177/1740774519890146)
- Markoulidakis, A.et al. 2020. A tutorial comparing different covariate balancing methods with an application evaluating the causal effect of exercise on the progression of Huntington’s disease. arXiv
- Burnett, T.et al. 2020. Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs. arXiv
2019
- Dimairo, M.et al. 2019. Introducing the Adaptive designs CONSORT Extension (ACE) Statement to improve reporting of randomised trials that use an adaptive design (P-7). Presented at: 5th International Clinical Trials Methodology Conference (ICTMC 2019), Brighton, UK, 6-9 October 2019. BioMed Central pp. -., (10.1186/s13063-019-3688-6)
- Hornbacher, J.et al. 2019. The levels of sulfur-containing metabolites in Brassica napus are not influenced by the circadian clock but diurnally. Journal of Plant Biology 62(5), pp. 359-373. (10.1007/s12374-019-0143-x)
- Drew, C. J. G.et al. 2019. A protocol for a randomised controlled, double-blind feasibility trial investigating fluoxetine treatment in improving memory and learning impairments in patients with mesial temporal lobe epilepsy: Fluoxetine, Learning and Memory in Epilepsy (FLAME trial). Pilot and Feasibility Studies 5(1), article number: 87. (10.1186/s40814-019-0474-x)
- Jansen, J. O.et al. 2019. Bayesian clinical trial designs another option for trauma trials? Erratum. Journal of Trauma and Acute Care Surgery 86(4), pp. 760. (10.1097/TA.0000000000002236)
- Jaki, T., Pallmann, P. and Magirr, D. 2019. The R package MAMS for designing multi-arm multi-stage clinical trials. Journal of Statistical Software 88(4)
2018
- Dimairo, M.et al. 2018. Development process of a consensus-driven CONSORT extension for randomised trials using an adaptive design. BMC Medicine 16(1), article number: 210. (10.1186/s12916-018-1196-2)
- Pallmann, P., Ritz, C. and Hothorn, L. A. 2018. Simultaneous small-sample comparisons in longitudinal or multi-endpoint trials using multiple marginal models. Statistics in Medicine 37(9), pp. 1562-1576. (10.1002/sim.7610)
- Pallmann, P.et al. 2018. Adaptive designs in clinical trials: why use them, and how to run and report them. BMC Medicine 16, article number: 29. (10.1186/s12916-018-1017-7)
2017
- Pallmann, P. and Jaki, T. 2017. Simultaneous confidence regions for multivariate bioequivalence. Statistics in Medicine 36(29), pp. 4585-4603. (10.1002/sim.7446)
- Pallmann, P., Pretorius, M. and Ritz, C. 2017. Simultaneous comparisons of treatments at multiple time points: Combined marginal models versus joint modeling. Statistical Methods in Medical Research 26(6), pp. 2633-2648. (10.1177/0962280215603743)
- Jansen, J. O.et al. 2017. Bayesian clinical trial designs: Another option for trauma trials?. Journal of Trauma and Acute Care Surgery 83(4), pp. 736-741. (10.1097/TA.0000000000001638)
- Parkes, M.et al. 2017. The two-stage treatment selection (TSTS) design: a novel approach to treatment selection in clinical trials. Trials 18(S1), pp. 166., article number: P440. (10.1186/s13063-017-1902-y)
- Otieno, J. A., Pallmann, P. and Poehling, H. 2017. Additive and synergistic interactions amongst Orius laevigatus (Heteroptera: Anthocoridae), entomopathogens and azadirachtin for controlling western flower thrips (Thysanoptera: Thripidae). BioControl 62(1), pp. 85-95. (10.1007/s10526-016-9767-7)
- Pallmann, P. 2017. Sample size determination in clinical trials with multiple endpoints. T. Sozu, R. Sugimoto, T. Hamasaki, and S. R. Evans (2015). New York, NY: Springer. 95 pages, ISBN: 978-3-319-22004-8. Biometrical Journal 59(1), pp. 218. (10.1002/bimj.201600135)
2016
- Rumlow, A.et al. 2016. Quantitative expression analysis in brassica napus by northern blot analysis and reverse transcription-quantitative PCR in a complex experimental setting. PLoS ONE 11(9), article number: e0163679. (10.1371/journal.pone.0163679)
- Pallmann, P. and Hothorn, L. A. 2016. Boxplots for grouped and clustered data in toxicology. Archives of Toxicology 90(7), pp. 1631-1638. (10.1007/s00204-015-1608-4)
- Otieno, J. A., Pallmann, P. and Poehling, H. -. 2016. The combined effect of soil-applied azadirachtin with entomopathogens for integrated management of western flower thrips. Journal of Applied Entomology 140(3), pp. 174-186. (10.1111/jen.12242)
- Pallmann, P. and Hothorn, L. A. 2016. Analysis of means: a generalized approach using R. Journal of Applied Statistics 43(8), pp. 1541-1560. (10.1080/02664763.2015.1117584)
- Pallmann, P. and Schaarschmidt, F. 2016. Common pitfalls when testing additivity of treatment mixtures with chi-square analyses. Journal of Applied Entomology 140(1-2), pp. 135-141. (10.1111/jen.12258)
2015
- Pallmann, P. 2015. Simultaneous Statistical Inference: With Applications in the Life Sciences. T.Dickhaus (2014). Heidelberg: Springer. 180 pages, ISBN: 978-3-642-45181-2.. Biometrical Journal 57(6), pp. 1151-1152. (10.1002/bimj.201500129)
- Pallmann, P. 2015. Analyzing baseball data with R [book review]. Journal of the Royal Statistical Society Series A (Statistics in Society) 178(4), pp. 1099-1099. (10.1111/rssa.3_12138)
- Karanja, J., Poehling, H. and Pallmann, P. 2015. Efficacy and dose response of soil-applied neem formulations in substrates with different amounts of organic matter, in the control of whiteflies, aleyrodes proletella and trialeurodes vaporariorum (hemiptera: aleyrodidae). Journal of Economic Entomology 108(3), pp. 1182-1190. (10.1093/jee/tov047)
- Weese, A.et al. 2015. Brassica napus L. cultivars show a broad variability in their morphology, physiology and metabolite levels in response to sulfur limitations and to pathogen attack. Frontiers in Plant Science 6, article number: 9. (10.3389/fpls.2015.00009)
2014
- Pallmann, P., Hothorn, L. A. and Djira, G. D. 2014. A Levene-type test of homogeneity of several variances against ordered alternatives. Computational Statistics 29, pp. 1593-1608. (10.1007/s00180-014-0508-z)
- Pallmann, P. 2014. Applied meta-analysis with R. Journal of Applied Statistics 42(4), pp. 914-915. (10.1080/02664763.2014.989464)
2013
- Jaki, T., Pallmann, P. and Wolfsegger, M. J. 2013. Authors' reply to Comments on 'Estimation in AB/BA crossover trials with application to bioequivalence studies with incomplete and complete data designs'. Statistics in Medicine 32(30), pp. 5487-5488. (10.1002/sim.6000)
- Jaki, T., Pallmann, P. and Wolfsegger, M. J. 2013. Estimation in AB/BA crossover trials with application to bioequivalence studies with incomplete and complete data designs. Statistics in Medicine 32(30), pp. 5469-5483. (10.1002/sim.5886)
2012
- Pallmann, P.et al. 2012. Assessing group differences in biodiversity by simultaneously testing a user-defined selection of diversity indices. Molecular Ecology Resources 12(6), pp. 1068-1078. (10.1111/1755-0998.12004)
Summary of my research
I currently work on a number of trials (including BATCH, PRECISE, PRONTO, TRIDENT, FLAME, TAPERS, SaFE, SWIS and DocTIS) and observational studies (including DOMINO-HD, PEACH and PERCEIVE).
I have been actively involved in the ACE Project to develop an official CONSORT extension for clinical trials with an adaptive design, the PANDA Project to create an educational online platform about adaptive designs, and the CAT Project to develop best practice costing guidance for CTUs supporting adaptive design trials.
I am a member of the Adaptive Designs Working Group of the MRC-NIHR Trials Methodology Research Partnership.
I have (co-)authored and/or am the maintainer of a number of R packages that are freely available on CRAN, including MAMS (multi-arm multi-stage studies), BayesMAMS (Bayesian multi-arm multi-stage studies), jocre (joint confidence regions), modest (model-based dose-escalation trials), ANOM (analysis of means) and simboot (simultaneous inference for diversity indices).
Recently awarded grant funding
2020
- NIHR HTA: Procalcitonin: evaluation of antibiotic use in COVID-19 hospitalised patients (PEACH) (£731,858)
- HCRW RfPPB: PERCEIVE: prediction of risk and communication of outcome following major lower limb amputation – a collaborative study (£229,225)
- DfE WWCSC: Social workers in schools scale-up (SWIS) (£385,597)
- NIHR EME: MR-pro-adrenomedullin (MR-proADM) and ImmunoXpert evaluation of procalcitonin-guided anitbiotic duration in children with infection for stratification of effectiveness (PRECISE) (£385,450)
2019
- HCRW CTU Infrastructure Funding: Centre for Trials Research 2020-23 (£2,470,489)
- NIHR CTU Support Funding: Costing adaptive trials (CAT): developing best practice costing guidance for CTUs supporting adaptive trials (£55,629)
- NIHR HTA: Procalcitonin and NEWS evaluation for timely identification of sepsis and optimal use of antibiotics in the emergency department (PRONTO) (£1,968,786)
- NIHR PHR: Optimisation, feasibility testing and a pilot randomised trial of SaFE: a sexual health and healthy relationships intervention for further education (£510,815)
- EU H2020: Decision on optimal combinatorial therapies in IMIDs using systems approaches (DocTIS) (€6,260,050)
2018
- EU JPND Research: Multi-domain lifestyle targets for improving prognosis in Huntington's disease (DOMINO-HD) (€2,057,969)
- NIHR CTU Support Funding: A practical adaptive and novel designs toolkit (PANDA) (£98,886)
- HCRW RfPPB: Treating anxiety to prevent relapse in schizophrenia (TAPERS) – a feasibility trial (£229,865)