Dr Philip Pallmann

2022

• Wason, J. M. S. et al. 2022. Practical guidance for planning resources required to support publicly‑funded adaptive clinical trials. BMC Medicine 20, article number: 254. (10.1186/s12916-022-02445-7)
• Morgan-Jones, P. et al. 2022. Monitoring and managing lifestyle behaviours using wearable activity trackers: a mixed methods study of views from the Huntington's disease community. JMIR Formative Research 6(6), article number: e36870. (10.2196/36870)
• Chatoo, S. A., Thomas-Jones, E., Pallmann, P. and Euden, J. 2022. Antibiotic prescribing in hospitalized patients with COVID-19 as a function of inflammatory markers in wave 1 versus wave 2: a systematic review. Presented at: BSAC Spring Conference 2022, 10 - 11 May 2022, Vol. 4. Vol. S.2., (10.1093/jacamr/dlac053.012)
• Euden, J. et al. 2022. PROcalcitonin and NEWS2 evaluation for Timely identification of sepsis and Optimal use of antibiotics in the emergency department (PRONTO): protocol for a multicentre, open-label, randomised controlled trial. BMJ Open 12(6), article number: e063424. (10.1136/bmjopen-2022-063424)
• Westlake, D. et al. 2022. The SWIS trial: protocol of a pragmatic cluster randomised controlled trial of school based social work. PLoS ONE 17(6), article number: e0265354. (10.1371/journal.pone.0265354)
• Markoulidakis, A., Taiyari, K., Holmans, P., Pallmann, P., Busse, M., Godley, M. D. and Griffin, B. A. 2022. A tutorial comparing different covariate balancing methods with an application evaluating the causal effects of substance use treatment programs for adolescents. Health Services and Outcomes Research Methodology (10.1007/s10742-022-00280-0)
• Llewelyn, M. J. et al. 2022. Impact of introducing procalcitonin testing on antibiotic usage in acute NHS hospitals during the first wave of COVID-19 in the UK: a controlled interrupted time series analysis of organization-level data. Journal of Antimicrobial Chemotherapy 77(4), pp. 1189-1196. (10.1093/jac/dkac017)
• Waldron, C. et al. 2022. Biomarker-guided duration of Antibiotic Treatment in Children Hospitalised with confirmed or suspected bacterial infection (BATCH): protocol for a randomised controlled trial. BMJ Open 12(1), article number: e047490. (10.1136/bmjopen-2020-047490)
• Milosevic, S. et al. 2022. PrEdiction of Risk and Communication of outcomE followIng major lower limb amputation: a collaboratiVE study (PERCEIVE)—protocol for the PERCEIVE qualitative study. BMJ Open 12(1), article number: e053159. (10.1136/bmjopen-2021-053159)
• Powell, E., James, D., Collis, R., Collins, P., Pallmann, P. and Bell, S. 2022. Introduction of standardized, cumulative quantitative measurement of blood loss into routine maternity care. Journal of Maternal-Fetal and Neonatal Medicine 35(8), pp. 1491-1497. (10.1080/14767058.2020.1759534)

2021

• Markoulidakis, A., Holmans, P., Pallmann, P., Busse, M. and Griffin, B. A. 2021. CoBWeb: a user-friendly web application to estimate causal treatment effects from observational data using multiple algorithms. [Online]. Cornell University. Available at: https://arxiv.org/abs/2112.05035
• Gwilym, B. L. et al. 2021. The PERCEIVE quantitative study: PrEdiction of Risk and Communication of outcome following major lower-limb amputation: protocol for a collaboratiVE study. BJS Open 5(6), article number: zrab118. (10.1093/bjsopen/zrab118)
• Richards, O. et al. 2021. Procalcitonin increase is associated with the development of critical care-acquired infections in COVID-19 ARDS. Antibiotics 10(11), article number: 1425. (10.3390/antibiotics10111425)
• Wilson, N. et al. 2021. Costs and staffing resource requirements for adaptive clinical trials: quantitative and qualitative results from the Costing Adaptive Trials project. BMC Medicine 19, article number: 251. (10.1186/s12916-021-02124-z)
• Preece, R. et al. 2021. A systematic review and narrative synthesis of risk prediction tools used to estimate mortality, morbidity, and other outcomes following major lower limb amputation. European Journal of Vascular and Endovascular Surgery 62(1), pp. 127-135. (10.1016/j.ejvs.2021.02.038)
• Romaine, S. T. et al. 2021. Performance of seven different paediatric early warning scores to predict critical care admission in febrile children presenting to the emergency department: a retrospective cohort study. BMJ Open 11(5), article number: e044091. (10.1136/bmjopen-2020-044091)
• Robertson, D. S., Choodari-Oskooei, B., Dimairo, M., Flight, L., Pallmann, P. and Jaki, T. 2021. Point estimation for adaptive trial designs. [Online]. Cornell University. Available at: https://arxiv.org/abs/2105.08836
• Bell, S. F. et al. 2021. Reduction in massive postpartum haemorrhage and red blood cell transfusion during a national quality improvement project, Obstetric Bleeding Strategy for Wales, OBS Cymru: an observational study. BMC Pregnancy and Childbirth 21, article number: 377. (10.1186/s12884-021-03853-y)
• Powell, N. et al. 2021. Use of procalcitonin during the first wave of COVID-19 in the acute NHS hospitals: a retrospective observational study. Antibiotics 10(5), article number: 516. (10.3390/antibiotics10050516)
• Gwilym, B. et al. 2021. PERCEIVE: PrEdiction of Risk and Communication of outcome following major lower limb amputation - a collaboratIVE study. Presented at: National Research Collaborative Meeting 2020 (NRCM 2020), Virtual, 19 November - 10 December 2020, Vol. 5. Vol. Supple. Wiley, (10.1093/bjsopen/zrab032.089)
• Bell, S. F. et al. 2021. Reduction in massive postpartum haemorrhage and red blood cell transfusion during a national quality improvement project, Obstetric Bleeding Strategy for Wales, OBS Cymru: an observational study. SSRN: Available at: http://doi.org/10.2139/ssrn.3746928
• Wheeler, M., Powell, E. and Pallmann, P. 2021. Use of high-fidelity simulation training for radiology healthcare professionals in the management of acute medical emergencies. British Journal of Radiology 94(1117), article number: 20200520. (10.1259/bjr.20200520)
• Drew, C. et al. 2021. Protocol for an open label, phase I trial within a cohort of fetal cell transplants in people with Huntington’s disease. Brain Communications 3(1), article number: fcaa230. (10.1093/braincomms/fcaa230)
• Markoulidakis, A., Holmans, P., Pallmann, P., Busse, M. and Griffin, B. A. 2021. How balance and sample size impact bias in the estimation of causal treatment effects: a simulation study. [Online]. Cornell University. Available at: https://arxiv.org/abs/2107.09009

2020

• Burnett, T., Mozgunov, P., Pallmann, P., Villar, S. S., Wheeler, G. M. and Jaki, T. 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)
• 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., Lunt, M., Pallmann, P. and Felson, D. 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)
• 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)
• Burnett, T., Mozgunov, P., Pallmann, P., Villar, S. S., Wheeler, G. M. and Jaki, T. 2020. Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs. [Online]. arXiv. Available at: https://arxiv.org/abs/2006.12811
• Markoulidakis, A., Taiyari, K., Holmans, P., Pallmann, P., Busse-Morris, M. and Griffin, B. A. 2020. A tutorial comparing different covariate balancing methods with an application evaluating the causal effect of exercise on the progression of Huntington’s disease. [Online]. arXiv. Available at: https://arxiv.org/abs/2010.09563

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., Rumlow, A., Pallmann, P., Turcios, A. E., Riemenschneider, A. and Papenbrock, J. 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., Pallmann, P., MacLennan, G. and Campbell, M. K. 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., Pallmann, P., MacLennan, G. and Campbell, M. K. 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., Lunt, M., Pallmann, P. and Felson, D. T. 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., Keunen, E., Klein, J., Pallmann, P., Riemenschneider, A., Cuypers, A. and Papenbrock, J. 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., Pallmann, P., Papenbrock, J. and Riemenschneider, A. 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. 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)
• 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)

2012

• Pallmann, P., Schaarschmidt, F., Hothorn, L. A., Fischer, C., Nacke, H., Priesnitz, K. U. and Schork, N. J. 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)