Literature DB >> 29193206

On the necessity and design of studies comparing statistical methods.

Anne-Laure Boulesteix1, Harald Binder2, Michal Abrahamowicz3, Willi Sauerbrei2.   

Abstract

Keywords:  comparison; evaluation; neutrality; publication practice; simulations

Mesh：

Year:  2017        PMID： 29193206     DOI： 10.1002/bimj.201700129

Source DB:  PubMed          Journal:  Biom J        ISSN： 0323-3847            Impact factor:   2.207


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  17 in total

1.  NetCoMi: network construction and comparison for microbiome data in R.

Authors:  Stefanie Peschel; Christian L Müller; Erika von Mutius; Anne-Laure Boulesteix; Martin Depner
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

2.  Propensity score analysis methods with balancing constraints: A Monte Carlo study.

Authors:  Yan Li; Liang Li
Journal:  Stat Methods Med Res       Date:  2021-02-01       Impact factor: 2.494

3.  Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation and cross-validation: Methodological approach and data-based evaluation.

Authors:  Bart J A Mertens; Erika Banzato; Liesbeth C de Wreede
Journal:  Biom J       Date:  2020-02-13       Impact factor: 2.207

Review 4.  Essential guidelines for computational method benchmarking.

Authors:  Lukas M Weber; Wouter Saelens; Robrecht Cannoodt; Charlotte Soneson; Alexander Hapfelmeier; Paul P Gardner; Anne-Laure Boulesteix; Yvan Saeys; Mark D Robinson
Journal:  Genome Biol       Date:  2019-06-20       Impact factor: 13.583

5.  A comparison of subgroup identification methods in clinical drug development: Simulation study and regulatory considerations.

Authors:  Cynthia Huber; Norbert Benda; Tim Friede
Journal:  Pharm Stat       Date:  2019-07-03       Impact factor: 1.894

Review 6.  Guidelines for benchmarking of optimization-based approaches for fitting mathematical models.

Authors:  Clemens Kreutz
Journal:  Genome Biol       Date:  2019-12-16       Impact factor: 13.583

7.  Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings.

Authors:  Julia Gilhodes; Florence Dalenc; Jocelyn Gal; Christophe Zemmour; Eve Leconte; Jean-Marie Boher; Thomas Filleron
Journal:  Comput Math Methods Med       Date:  2020-07-01       Impact factor: 2.238

8.  Joint model robustness compared with the time-varying covariate Cox model to evaluate the association between a longitudinal marker and a time-to-event endpoint.

Authors:  Maeregu W Arisido; Laura Antolini; Davide P Bernasconi; Maria G Valsecchi; Paola Rebora
Journal:  BMC Med Res Methodol       Date:  2019-12-03       Impact factor: 4.615

9.  State of the art in selection of variables and functional forms in multivariable analysis-outstanding issues.

Authors:  Willi Sauerbrei; Aris Perperoglou; Matthias Schmid; Michal Abrahamowicz; Heiko Becher; Harald Binder; Daniela Dunkler; Frank E Harrell; Patrick Royston; Georg Heinze
Journal:  Diagn Progn Res       Date:  2020-04-02

10.  An R package for an integrated evaluation of statistical approaches to cancer incidence projection.

Authors:  Maximilian Knoll; Jennifer Furkel; Jürgen Debus; Amir Abdollahi; André Karch; Christian Stock
Journal:  BMC Med Res Methodol       Date:  2020-10-15       Impact factor: 4.615
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