Anne-Laure Boulesteix

About Anne-Laure Boulesteix

Anne-Laure Boulesteix, With an exceptional h-index of 57 and a recent h-index of 42 (since 2020), a distinguished researcher at Ludwig-Maximilians-Universität München, specializes in the field of biostatistics, computational statistics, metascience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering

A white paper on good research practices in benchmarking: The case of cluster analysis

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

Validation of cluster analysis results on validation data: A systematic framework

Over‐optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results

On the optimistic performance evaluation of newly introduced bioinformatic methods

Large-scale benchmark study of survival prediction methods using multi-omics data

Anne-Laure Boulesteix Information

University

Position

___

Citations(all)

19134

Citations(since 2020)

11759

Cited By

10090

hIndex(all)

57

hIndex(since 2020)

42

i10Index(all)

92

i10Index(since 2020)

72

Email

University Profile Page

Ludwig-Maximilians-Universität München

Google Scholar

View Google Scholar Profile

Anne-Laure Boulesteix Skills & Research Interests

biostatistics

computational statistics

metascience

Top articles of Anne-Laure Boulesteix

Title

Journal

Author(s)

Publication Date

Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering

PLoS computational biology

Theresa Ullmann

Stefanie Peschel

Philipp Finger

Christian L Müller

Anne-Laure Boulesteix

2023/1/6

A white paper on good research practices in benchmarking: The case of cluster analysis

Iven Van Mechelen

Anne‐Laure Boulesteix

Rainer Dangl

Nema Dean

Christian Hennig

...

2023/11

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

Bernd Bischl

Martin Binder

Michel Lang

Tobias Pielok

Jakob Richter

...

2023/3

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

Maarten Van Smeden

Georg Heinze

Ben Van Calster

Folkert W Asselbergs

Panos E Vardas

...

2022/8/14

Validation of cluster analysis results on validation data: A systematic framework

Theresa Ullmann

Christian Hennig

Anne‐Laure Boulesteix

2022/5

Over‐optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results

Christina Nießl

Moritz Herrmann

Chiara Wiedemann

Giuseppe Casalicchio

Anne‐Laure Boulesteix

2022/3

On the optimistic performance evaluation of newly introduced bioinformatic methods

Genome Biology

Stefan Buchka

Alexander Hapfelmeier

Paul P Gardner

Rory Wilson

Anne-Laure Boulesteix

2021/12

Large-scale benchmark study of survival prediction methods using multi-omics data

Moritz Herrmann

Philipp Probst

Roman Hornung

Vindi Jurinovic

Anne-Laure Boulesteix

2021/5

The multiplicity of analysis strategies jeopardizes replicability: lessons learned across disciplines

Royal Society Open Science

Sabine Hoffmann

Felix Schönbrodt

Ralf Elsas

Rory Wilson

Ulrich Strasser

...

2021/4/21

NetCoMi: network construction and comparison for microbiome data in R

Briefings in bioinformatics

Stefanie Peschel

Christian L Müller

Erika Von Mutius

Anne-Laure Boulesteix

Martin Depner

2021/7

Introduction to statistical simulations in health research

BMJ open

Anne-Laure Boulesteix

Rolf HH Groenwold

Michal Abrahamowicz

Harald Binder

Matthias Briel

...

2020/12/1

A replication crisis in methodological research?

Significance

Anne-Laure Boulesteix

Sabine Hoffmann

Alethea Charlton

Heidi Seibold

2020/10

See List of Professors in Anne-Laure Boulesteix University(Ludwig-Maximilians-Universität München)