Dr Philip Pallmann

2020

• 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)
• 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)
• Dimairo, M.et al. 2019. The Adaptive designs CONSORT Extension (ACE) Statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design. BMJ

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)