annual autumn stats workshop by German biostatistics & epi-meth communities of @gmdsEV @IBSstats & @DGEpi_eV, Tweets by @ag_epi_meth, use #HWS18_Stats
Munich, Bavaria
Joined August 2018
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Herbstworkshop 2018 retweeted
Prognosis of the Time Magazine in 2009: #Biobanks as one of 10 ideas that would change the world. Did it happen? Asks Heinz-Erich Wichmann (München) - who btw just received the Bundesverdienstkreuz (Federal Cross of Merit) - in his keynote #biobanken2018 #biobanking
#HWS2018_Stats @statsyss @RoyalStatSoc @societyforepi @IEA_Epi @DKFZ @rki_de @BIPS_Bremen @ddz_info @IGW_HSOS @ag_epi_meth @AgKrebsepi @questbih @tim_friede @okuss4 @Janine_Witte @alexaxiom @dirnagl @Ulrike_gr @uniklinik_hd @uni_ulm @AndConrad @BeatrixBehrendt @dgepi @l_kroll
#HWS2018_Stats the participants on the 2nd day @HWS2018 autumn stats workshop “Innovative Designs & cluster-randomized studies" on the rooftop of @HelmholtzMucEn after inspiring presentations on adaptive and other innovative designs for clinical trials
@IBSstats @gmdsEV @DGEpi_eV
#HWS2018_Stats @CENISBS @ISCB_info @Helmholtz_MUC @Helmholtz_HZI @TMF_eV @berlinnovation @stangandreas @gmds2019 @gmdsJun @evibase @BEMColloquium @Georg__Heinze @posch_m @ScheragAndre @verenashoffmann @RBrinks @baumeister_se @andkarch @j1kkoenig @j_krisam @_phil_m @SvenKnueppel
#HWS2018_Stats the participants on the 2nd day @HWS2018 autumn stats workshop “Innovative Designs & cluster-randomized studies" on the rooftop of @HelmholtzMucEn after inspiring presentations on adaptive and other innovative designs for clinical trials
@IBSstats @gmdsEV @DGEpi_eV
#HWS2018_Stats the participants on the 2nd day @HWS2018 autumn stats workshop “Innovative Designs & cluster-randomized studies" on the rooftop of @HelmholtzMucEn after inspiring presentations on adaptive and other innovative designs for clinical trials
@IBSstats @gmdsEV @DGEpi_eV
#HWS2018_Stats Maria Stark (IMBE UKE Hamburg) presents a solution 4 overpowered diagnostic studies in her talk on reestimation of prevalence in confirmatory diagnostic studies
@HWS2018 autumn stats workshop “Innovative designs & cluster-randomized studies" @HelmholtzMucEn @gmdsEV
#HWS2018_Stats Thomas Keller (ACOMED Leipzig) presents results of diagnostic study on pain: Mick et al 2014 Curr Med Res Opin
ncbi.nlm.nih.gov/pubmed/2465…
& a VOPT design study (verification of only positive-tested) for indications w/ unavailable gold standard test for test-negatives
#HWS2018_Stats Thomas Keller (ACOMED Leipzig) presents approach of incomplete verification for sample size reduction in diagnostic Phase III studies @HWS2018 autumn stats workshop “Innovative designs & cluster-randomized studies" @HelmholtzMucEn @gmdsEV
acomed-statistik.de/acomed_p…
#HWS2018_Stats @j_krisam shows matching procedures for 2-stage designs in MTC design & sample size recalculations w/simulation study @HWS2018 autumn stats workshop “Innovative designs & cluster-randomized studies"@Helmholtz_MUC @HelmholtzMucEn
@gmdsEV @uniklinik_hd @UniHeidelberg
#HWS2018_Stats @j_krisam presents Matched-Threshold-Crossing (MTC) design as novel phase II single-arm design w/ matched historical control patients @HWS2018 autumn stats workshop “Innovative designs & cluster-randomized studies" @Helmholtz_MUC @IBSstats
klinikum.uni-heidelberg.de/K…
#HWS2018_Stats @j_krisam presents Matched-Threshold-Crossing (MTC) design as novel phase II single-arm design w/ matched historical control patients @HWS2018 autumn stats workshop “Innovative designs & cluster-randomized studies" @Helmholtz_MUC @IBSstats
klinikum.uni-heidelberg.de/K…
#HWS2018_Stats Maja Krajewska (@ibikecharite @ChariteBerlin) compares pooling vs clustering approaches in basket trials w/ simulation study @HWS2018 autumn stats workshop @Helmholtz_MUC
@IBSstats @gmdsEV @tim_friede @okuss4 @berlinnovation @BEMColloquium @RBrinks @verenashoffmann
#HWS2018_Stats Maja Krajewska presents a test of Cunanan et al.'s 2017 approach of clustering of subpopulations in basket trials @HWS2018 autumn stats workshop @Helmholtz_MUC
onlinelibrary.wiley.com/doi/…
biometrie.charite.de/metas/p…
facebook.com/ibikecharite/
@IBSstats @gmdsEV @tim_friede
#HWS2018_Stats Maja Krajewska presents a test of Cunanan et al.'s 2017 approach of clustering of subpopulations in basket trials @HWS2018 autumn stats workshop @Helmholtz_MUC
onlinelibrary.wiley.com/doi/…
biometrie.charite.de/metas/p…
facebook.com/ibikecharite/
@IBSstats @gmdsEV @tim_friede
#HWS2018_Stats Jan Feifel (@uni_ulm) introduces advanced approach of dynamic drawing of controls in the NECC (nested exposure case-control design)
& gives outlook on paper Ohneberg et al. Statistics in Medicine 2019
@IBSstats @gmds2019 @gmdsEV @tim_friede @okuss4 @ScheragAndre
#HWS2018_Stats Jan Feifel presents exposure-dependent case-control designs nested in time as a way to save resources & costs in in hospital epidemiology NECC (nested exposure case-control design) w/ analogy of a Bernoulli experiment as a "Swabian doorman"
uni-ulm.de/mawi/statistics/t…
#HWS2018_Stats Jan Feifel presents exposure-dependent case-control designs nested in time as a way to save resources & costs in in hospital epidemiology NECC (nested exposure case-control design) w/ analogy of a Bernoulli experiment as a "Swabian doorman"
uni-ulm.de/mawi/statistics/t…
#HWS2018_Stats @tim_friede presents adaptive seamless designs with combination test & closure principle
Papers Bretz et al. (2006) Biom J:
ncbi.nlm.nih.gov/pubmed/1697…
and adaptive seamless designs
Chataway et al. 2011: goedoc.uni-goettingen.de/bit…
@IBSstats @gmdsEV @okuss4 @ScheragAndre
#HWS2018_Stats @tim_friede presents statistical models for recurrent events: negative binomial regression, semiparametric LWYY model.
papers
Mütze ea 2018a: doi.org/10.1177/096228021877…
Mütze ea 2018b: doi.org/10.1177/096228021878…
R package gscounts to plan trial:
cran.r-project.org/web/packa…
#HWS2018_Stats @tim_friede presents papers
Kieser & Friede (2000) journals.sagepub.com/doi/10.…
Friede & Miller (2012). Blinded continuous monitoring of nuisance parameters ...
J Royal Stat Soc, Ser.C, 61(4), 601-618. jstor.org/stable/23251162
Friede et al (2018) onlinelibrary.wiley.com/doi/…
#HWS2018_Stats @tim_friede presents papers
Kieser & Friede (2000) journals.sagepub.com/doi/10.…
Friede & Miller (2012). Blinded continuous monitoring of nuisance parameters ...
J Royal Stat Soc, Ser.C, 61(4), 601-618. jstor.org/stable/23251162
Friede et al (2018) onlinelibrary.wiley.com/doi/…
#HWS2018_Stats @tim_friede presents the Draft FDA guidance on adaptive designs (2018), Sec. IV: adaptive designs based on non-comparative data:
fda.gov/downloads/drugs/guid…
and blinded variance estimation
@okuss4 @tim_friede @j1kkoenig @_phil_m @RBrinks @ScheragAndre @iqwig @evibase
#HWS2018_Stats @tim_friede presents 1) decision making processes in trials w/ adaptive designs w/ 2 committees: Data Safety Monitoring Boards & committees for design adaptations. 2) Internal Pilot Study designs 4 sample size adjustments (ICH-E9 Guideline 1998, CHMP2007, FDA2010)
#HWS2018_Stats @tim_friede presents 1) decision making processes in trials w/ adaptive designs w/ 2 committees: Data Safety Monitoring Boards & committees for design adaptations. 2) Internal Pilot Study designs 4 sample size adjustments (ICH-E9 Guideline 1998, CHMP2007, FDA2010)
#HWS2018_Stats @tim_friede presents the Clinical Scenario Evaluation (CSE) Framework for the assessment of competing strategies (analysis level, clinical trial level, series of clinical trials)
@IBSstats @gmds2019 @okuss4 @RBrinks @verenashoffmann @baumeister_se @ScheragAndre
#HWS2018_Stats 2nd day of our workshop “Innovative Designs und cluster-randomisierte Studien" @Helmholtz_MUC starts with invited talk by @tim_friede on adaptive designs in clinical trials
@IBSstats @gmdsEV @DGEpi_eV @ag_epi_meth
ams.med.uni-goettingen.de/fr…
unimedizin-mainz.de/smde/her…
#HWS2018_Stats @tim_friede's overview of stats Methodology for ASD:
combinations of the 3 approaches, e.g. weighted inverse normal method & closed test principle
@gmdsEV @evibase @verenashoffmann @RBrinks @baumeister_se @alexaxiom @okuss4 @ScheragAndre @andkarch @stangandreas
#HWS2018_Stats @tim_friede's overview of stats Methodology for ASD:
1) repeated testing (class. group sequential designs) 2) combining pre/post adaptation data: (recursive) combination test, cond. error function approach
3) multiple hypotheses (closed test principle, Bonferroni)