Heidi Seibold

Citeras av

	Alla	Sedan 2020
Citat	967	800
h-index	17	16
i10-index	23	23

220

110

165

201520162017201820192020202120222023202420257 10 24 43 73 105 118 157 180 210 27

Offentlig åtkomst

Visa alla

16 artiklar

0 artiklar

tillgänglig

inte tillgänglig

Enligt krav från finansiärer

Medförfattare

Torsten HothornVerifierad e-postadress på R-project.org
Achim ZeileisUniversität Innsbruck, Faculty of Economics and StatisticsVerifierad e-postadress på R-project.org
Sabine HoffmannLMU, MunichVerifierad e-postadress på stat.uni-muenchen.de
Daniel GraziotinFull Professor at University of HohenheimVerifierad e-postadress på uni-hohenheim.de
Stefan WagnerProfessor of Software Engineering, Technical University of MunichVerifierad e-postadress på tum.de
Daniel MendezFull Professor at Blekinge Institute of Technology and fortiss GmbHVerifierad e-postadress på bth.se
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, and ScaDS.AIVerifierad e-postadress på tu-dresden.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerifierad e-postadress på stat.uni-muenchen.de
Jakob BossekPaderborn UniversityVerifierad e-postadress på uni-paderborn.de
Michel LangTU Dortmund; LMU MunichVerifierad e-postadress på statistik.tu-dortmund.de
Giuseppe CasalicchioSenior Lecturer and Researcher, LMU Munich, Munich Center for Machine LearningVerifierad e-postadress på campus.lmu.de
Joaquin VanschorenEindhoven University of TechnologyVerifierad e-postadress på tue.nl
Riccardo De BinAssociate Professor, Department of Mathematics, University of OsloVerifierad e-postadress på math.uio.no
Helmut KüchenhoffInstitut für Statistik, LMU MünchenVerifierad e-postadress på stat.uni-muenchen.de
Anne-Laure BoulesteixLudwig-Maximilians-Universität MünchenVerifierad e-postadress på ibe.med.uni-muenchen.de
仲恒章 Zhongheng Zhang金华市中心医院浙江大学金华医院 Jinhua municipal central hospital, Jinhua hospital of zhejiangVerifierad e-postadress på ceccm.org
Björn BornkampNovartis Pharma AGVerifierad e-postadress på novartis.com
Peter SteinbachHelmholtz-Zentrum Dresden-RossendorfVerifierad e-postadress på hzdr.de
Oliver GuhrImpact Labs GmbHVerifierad e-postadress på htw-dresden.de
Lea Maria FergusonHelmholtz AssociationVerifierad e-postadress på os.helmholtz.de

Följ

Heidi Seibold

Digital Research Academy

Verifierad e-postadress på seibold.co - Startsida

Open Science Reproducible Research Data Science Research Software


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Model-Based Recursive Partitioning for Subgroup Analyses H Seibold, A Zeileis, T Hothorn The international journal of biostatistics 12 (1), 45-63, 2016	196	2016
Individual treatment effect prediction for amyotrophic lateral sclerosis patients H Seibold, A Zeileis, T Hothorn Statistical methods in medical research 27 (10), 3104-3125, 2018	78	2018
Open science in software engineering D Mendez, D Graziotin, S Wagner, H Seibold Contemporary Empirical Methods in Software Engineering, 477-501, 2020	77	2020
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action H Anzt, F Bach, S Druskat, F Löffler, A Loewe, BY Renard, G Seemann, ... arXiv preprint arXiv:2005.01469, 2020	76	2020
OpenML: An R package to connect to the machine learning platform OpenML G Casalicchio, J Bossek, M Lang, D Kirchhoff, P Kerschke, B Hofner, ... Computational Statistics, 1-15, 2017	75	2017
Invertebrates outcompete vertebrate facultative scavengers in simulated lynx kills in the Bavarian Forest National Park, Germany RR Ray, H Seibold, M Heurich Animal Biodiversity and Conservation 37 (1), 77-88, 2014	66	2014
Patterns of lynx predation at the interface between protected areas and multi-use landscapes in central Europe E Belotti, N Weder, L Bufka, A Kaldhusdal, H Küchenhoff, H Seibold, ... PloS one 10 (9), e0138139, 2015	46	2015
A replication crisis in methodological research? AL Boulesteix, S Hoffmann, A Charlton, H Seibold Significance 17 (5), 18-21, 2020	37	2020
Subgroup identification in clinical trials: an overview of available methods and their implementations with R Z Zhang, H Seibold, MV Vettore, WJ Song, V François Annals of Translational Medicine 6 (7), 2018	34	2018
Generalised linear model trees with global additive effects H Seibold, T Hothorn, A Zeileis Advances in Data Analysis and Classification 13 (3), 703-725, 2019	30	2019
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models H Seibold, C Bernau, AL Boulesteix, R De Bin Computational Statistics, 1-21, 2018	29*	2018
Subgroup identification in dose‐finding trials via model‐based recursive partitioning M Thomas, B Bornkamp, H Seibold Statistics in medicine 37 (10), 1608-1624, 2018	27	2018
Estimating patient-specific treatment advantages in the ‘Treatment for Adolescents with Depression Study’ S Foster, M Mohler-Kuo, L Tay, T Hothorn, H Seibold Journal of psychiatric research 112, 61-70, 2019	26	2019
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ... Plos one 16 (6), e0251194, 2021	25	2021
Association between post-operative delirium and use of volatile anesthetics in the elderly: A real-world big data approach T Saller, L Hubig, H Seibold, Z Schroeder, B Wang, P Groene, ... Journal of clinical anesthesia 83, 110957, 2022	21	2022
Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis J Havla, J Burns, MA Gosteli-Peter, A Alabsawi, Z Alayash, A Götschi, ... Cochrane Database of Systematic Reviews, 2023	19	2023
model4you: An R Package for Personalised Treatment Effect Estimation H Seibold, A Zeileis, T Hothorn Journal of Open Research Software 7 (1), 2019	17	2019
The interplay of viral loads, clinical presentation, and serological responses in SARS-CoV-2–Results from a prospective cohort of outpatient COVID-19 cases K Puchinger, N Castelletti, R Rubio-Acero, C Geldmacher, TM Eser, ... Virology 569, 37-43, 2022	15	2022
Survival forests under test: Impact of the proportional hazards assumption on prognostic and predictive forests for amyotrophic lateral sclerosis survival N Korepanova, H Seibold, V Steffen, T Hothorn Statistical Methods in Medical Research 29 (5), 1403-1419, 2020	15	2020
What makes forest-based heterogeneous treatment effect estimators work? S Dandl, C Haslinger, T Hothorn, H Seibold, E Sverdrup, S Wager, ... The Annals of Applied Statistics 18 (1), 506-528, 2024	13	2024

Systemet kan inte utföra åtgärden just nu. Försök igen senare.

Artiklar 1–20

Citat per år

Dubblettcitat

Sammanfogade citat

Lägg till medförfattareMedförfattare

Följ

Citeras av

Medförfattare