Author Schmidli, Heinz

1 to 17 of 17 Items
  • 2010 Conference Paper | 
    ​ ​Blinded sample size reestimation with count data: Methods and applications in multiple sclerosis​
    Friede, T. & Schmidli, H.​ (2010)
    Statistics in Medicine29(10) pp. 1145​-1156. ​Annual Conference on Statistical Issues in Clinical Trials-Early, Translational and Proof of Concept Studies - The Go/No Go Decisions​, Philadelphia, PA.
    Malden​: Wiley-blackwell. DOI: https://doi.org/10.1002/sim.3861 
    Details  DOI  PMID  PMC  WoS 
  • 2011 Journal Article | 
    ​ ​Trends in annualized relapse rates in relapsing-remitting multiple sclerosis and consequences for clinical trial design​
    Nicholas, R.; Straube, S.; Schmidli, H.; Schneider, S. & Friede, T.​ (2011) 
    Multiple Sclerosis Journal17(10) pp. 1211​-1217​.​ DOI: https://doi.org/10.1177/1352458511406309 
    Details  DOI  PMID  PMC  WoS 
  • 2012 Review | 
    ​ ​Time-patterns of annualized relapse rates in randomized placebo-controlled clinical trials in relapsing multiple sclerosis: A systematic review and meta-analysis​
    Nicholas, R.; Straube, S.; Schmidli, H.; Pfeiffer, S.& Friede, T.​ (2012)
    Multiple Sclerosis Journal, 18​(9) pp. 1290​-1296​.​
    Sage Publications Ltd. DOI: https://doi.org/10.1177/1352458511435715 
    Details  DOI  PMID  PMC  WoS 
  • 2013 Journal Article
    ​ ​Blinded and unblinded internal pilot study designs for clinical trials with count data​
    Schneider, S.; Schmidli, H. & Friede, T.​ (2013) 
    Biometrical Journal55(4) pp. 617​-633​.​ DOI: https://doi.org/10.1002/bimj.201200189 
    Details  DOI  PMID  PMC  WoS 
  • 2013 Journal Article
    ​ ​Robustness of methods for blinded sample size re-estimation with overdispersed count data​
    Schneider, S.; Schmidli, H. & Friede, T.​ (2013) 
    Statistics in Medicine32(21) pp. 3623​-3635​.​ DOI: https://doi.org/10.1002/sim.5800 
    Details  DOI  PMID  PMC  WoS 
  • 2013 Journal Article
    ​ ​Blinded sample size re-estimation for recurrent event data with time trends​
    Schneider, S.; Schmidli, H. & Friede, T.​ (2013) 
    Statistics in Medicine32(30) pp. 5448​-5457​.​ DOI: https://doi.org/10.1002/sim.5977 
    Details  DOI  PMID  PMC  WoS 
  • 2017 Journal Article
    ​ ​Meta-analytic-predictive use of historical variance data for the design and analysis of clinical trials​
    Schmidli, H.; Neuenschwander, B. & Friede, T.​ (2017) 
    Computational Statistics & Data Analysis113 pp. 100​-110​.​ DOI: https://doi.org/10.1016/j.csda.2016.08.007 
    Details  DOI  WoS 
  • 2017 Journal Article
    ​ ​Sample size re-estimation incorporating prior information on a nuisance parameter​
    Mütze, T. ; Schmidli, H. & Friede, T. ​ (2017) 
    Pharmaceutical Statistics17(2) pp. 126​-143​.​ DOI: https://doi.org/10.1002/pst.1837 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​Group sequential designs with robust semiparametric recurrent event models​
    Mütze, T. ; Glimm, E.; Schmidli, H. & Friede, T. ​ (2018) 
    Statistical Methods in Medical Research28(8) pp. 2385​-2403​.​ DOI: https://doi.org/10.1177/0962280218780538 
    Details  DOI 
  • 2018 Journal Article
    ​ ​Blinded continuous monitoring in clinical trials with recurrent event endpoints​
    Friede, T. ; Häring, D. A. & Schmidli, H.​ (2018) 
    Pharmaceutical Statistics18(1) pp. 54​-64​.​ DOI: https://doi.org/10.1002/pst.1907 
    Details  DOI 
  • 2018 Journal Article
    ​ ​Sample size re‐estimation for clinical trials with longitudinal negative binomial counts including time trends​
    Asendorf, T. ; Henderson, R.; Schmidli, H. & Friede, T. ​ (2018) 
    Statistics in Medicine38(9) pp. 1503​-1528​.​ DOI: https://doi.org/10.1002/sim.8061 
    Details  DOI 
  • 2019 Journal Article
    ​ ​Blinded sample size reestimation in event‐driven clinical trials: Methods and an application in multiple sclerosis​
    Friede, T. ; Pohlmann, H. & Schmidli, H.​ (2019) 
    Pharmaceutical Statistics18(3) pp. 351​-365​.​ DOI: https://doi.org/10.1002/pst.1927 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Modelling and sample size reestimation for longitudinal count data with incomplete follow up​
    Asendorf, T. ; Henderson, R.; Schmidli, H. & Friede, T. ​ (2019) 
    Statistical Methods in Medical Research28(1) pp. 117​-133​.​ DOI: https://doi.org/10.1177/0962280217715664 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Group sequential designs for negative binomial outcomes​
    Mütze, T. ; Glimm, E.; Schmidli, H. & Friede, T. ​ (2019) 
    Statistical Methods in Medical Research28(8) pp. 2326​-2347​.​ DOI: https://doi.org/10.1177/0962280218773115 
    Details  DOI 
  • 2020 Journal Article
    ​ ​Blinded continuous information monitoring of recurrent event endpoints with time trends in clinical trials​
    Mütze, T. ; Salem, S.; Benda, N.; Schmidli, H. & Friede, T. ​ (2020) 
    Statistics in Medicine39(27) pp. 3968​-3985​.​ DOI: https://doi.org/10.1002/sim.8702 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis​
    Röver, C. ; Bender, R.; Dias, S.; Schmid, C. H.; Schmidli, H.; Sturtz, S. & Weber, S. et al.​ (2021) 
    Research Synthesis Methods,.​ DOI: https://doi.org/10.1002/jrsm.1475 
    Details  DOI 
  • 2022 Journal Article
    ​ ​Improving pediatric multiple sclerosis interventional phase III study design: a meta-analysis​
    Graves, J. S.; Thomas, M.; Li, J.; Shah, A. R.; Goodyear, A.; Lange, M. R. & Schmidli, H. et al.​ (2022) 
    Therapeutic Advances in Neurological Disorders15 pp. 175628642110704​.​ DOI: https://doi.org/10.1177/17562864211070449 
    Details  DOI 

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