Philip Pallmann
Philip Pallmann
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TitleCited byYear
Adaptive designs in clinical trials: why use them, and how to run and report them
P Pallmann, AW Bedding, B Choodari-Oskooei, M Dimairo, L Flight, ...
BMC medicine 16 (1), 29, 2018
Assessing group differences in biodiversity by simultaneously testing a user‐defined selection of diversity indices
P Pallmann, F Schaarschmidt, LA Hothorn, C Fischer, H Nacke, ...
Molecular ecology resources 12 (6), 1068-1078, 2012
The combined effect of soil‐applied azadirachtin with entomopathogens for integrated management of western flower thrips
JA Otieno, P Pallmann, HM Poehling
Journal of applied entomology 140 (3), 174-186, 2016
Brassica napus L. cultivars show a broad variability in their morphology, physiology and metabolite levels in response to sulfur limitations and to pathogen attack
A Weese, P Pallmann, J Papenbrock, A Riemenschneider
Frontiers in plant science 6, 9, 2015
Analysis of means: a generalized approach using R
P Pallmann, LA Hothorn
Journal of Applied Statistics 43 (8), 1541-1560, 2016
Bayesian clinical trial designs: Another option for trauma trials?
JO Jansen, P Pallmann, G MacLennan, MK Campbell, ...
Journal of Trauma and Acute Care Surgery 83 (4), 736-741, 2017
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†…
J Karanja, HM Poehling, P Pallmann
Journal of economic entomology 108 (3), 1182-1190, 2015
Boxplots for grouped and clustered data in toxicology
P Pallmann, LA Hothorn
Archives of Toxicology 90 (7), 1631-1638, 2016
Development process of a consensus-driven CONSORT extension for randomised trials using an adaptive design
M Dimairo, E Coates, P Pallmann, S Todd, SA Julious, T Jaki, J Wason, ...
BMC medicine 16 (1), 210, 2018
The R package MAMS for designing multi-arm multi-stage clinical trials
TF Jaki, PS Pallmann, D Magirr
Journal of Statistical Software 88 (4), 2019
A Levene-type test of homogeneity of variances against ordered alternatives
P Pallmann, LA Hothorn, GD Djira
Computational Statistics 29 (6), 1593-1608, 2014
Simboot: simultaneous inference for diversity indices
R Scherer, P Pallmann
R package version 0, 2-5, 2014
Estimation in AB/BA crossover trials with application to bioequivalence studies with incomplete and complete data designs
T Jaki, P Pallmann, MJ Wolfsegger
Statistics in medicine 32 (30), 5469-5483, 2013
Mams: Designing multi-arm multi-stage studies
T Jaki, D Magirr, P Pallmann
URL http://CRAN. R-project. org/package= MAMS. R package version 0.3, 2012
Simultaneous confidence regions for multivariate bioequivalence
P Pallmann, T Jaki
Statistics in medicine 36 (29), 4585-4603, 2017
MAMS: designing multi-arm multi-stage studies, 2014
T Jaki, D Magirr, P Pallmann
URL http://CRAN. R-project. org/package= MAMS. R package version 0.3, 0
Simultaneous comparisons of treatments at multiple time points: combined marginal models versus joint modeling
P Pallmann, M Pretorius, C Ritz
Statistical methods in medical research 26 (6), 2633-2648, 2017
Additive and synergistic interactions amongst Orius laevigatus (Heteroptera: Anthocoridae), entomopathogens and azadirachtin for controlling western flower thrips (Thysanoptera†…
JA Otieno, P Pallmann, HM Poehling
BioControl 62 (1), 85-95, 2017
Common pitfalls when testing additivity of treatment mixtures with chi‐square analyses
P Pallmann, F Schaarschmidt
Journal of Applied Entomology 140 (1-2), 135-141, 2016
Quantitative expression analysis in Brassica napus by Northern blot analysis and reverse transcription-quantitative PCR in a complex experimental setting
A Rumlow, E Keunen, J Klein, P Pallmann, A Riemenschneider, ...
PloS one 11 (9), 2016
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