Hans C. van Houwelingen

Hans C. van Houwelingen

Universiteit Leiden

H-index: 94

Europe-Netherlands

About Hans C. van Houwelingen

Hans C. van Houwelingen, With an exceptional h-index of 94 and a recent h-index of 42 (since 2020), a distinguished researcher at Universiteit Leiden, specializes in the field of Biostatistics, Meta-analysis, Survival analysis, Prediction models.

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

Effective sample size: a measure of individual uncertainty in predictions

Landmarking 2.0: Bridging the gap between joint models and landmarking

Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models

On the relation between the cause‐specific hazard and the subdistribution rate for competing risks data: The Fine–Gray model revisited

A Th1/IFNγ gene signature is prognostic in the adjuvant setting of resectable high-risk melanoma but not in non–small cell lung cancer

Discussion on “Testing small study effects in multivariate meta-analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen

Meta-Analysis of Prediction Models

Empirical Bayes methods for monitoring health care quality

Hans C. van Houwelingen Information

University

Position

Professor Emeritus for Medical Statistics

Citations(all)

33933

Citations(since 2020)

7633

Cited By

29417

hIndex(all)

94

hIndex(since 2020)

42

i10Index(all)

257

i10Index(since 2020)

131

Email

University Profile Page

Universiteit Leiden

Google Scholar

View Google Scholar Profile

Hans C. van Houwelingen Skills & Research Interests

Biostatistics

Meta-analysis

Survival analysis

Prediction models

Top articles of Hans C. van Houwelingen

Title

Journal

Author(s)

Publication Date

Effective sample size: a measure of individual uncertainty in predictions

Statistics in Medicine

Doranne Thomassen

Saskia le Cessie

Hans C van Houwelingen

Ewout W Steyerberg

2024/1/31

Landmarking 2.0: Bridging the gap between joint models and landmarking

Statistics in Medicine

Hein Putter

Hans C van Houwelingen

2022/5/20

Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models

Statistics in medicine

Per Kragh Andersen

Maja Pohar Perme

Hans C van Houwelingen

Richard J Cook

Pierre Joly

...

2021/1/15

On the relation between the cause‐specific hazard and the subdistribution rate for competing risks data: The Fine–Gray model revisited

Biometrical Journal

Hein Putter

Martin Schumacher

Hans C van Houwelingen

2020/5

A Th1/IFNγ gene signature is prognostic in the adjuvant setting of resectable high-risk melanoma but not in non–small cell lung cancer

Clinical Cancer Research

Benjamin Dizier

Andrea Callegaro

Muriel Debois

Brigitte Dreno

Peter Hersey

...

2020/4/1

Discussion on “Testing small study effects in multivariate meta-analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen

Biometrics

Hans C van Houwelingen

2020/12

Meta-Analysis of Prediction Models

Ewout Steyerberg

Daan Nieboer

Thomas Debray

Hans van Houwelingen

2020/9/7

Empirical Bayes methods for monitoring health care quality

arXiv preprint arXiv:2009.03058

Hans C van Houwelingen

Ronald Brand

Thomas A Louis

2020/9/7

Prediction meets causal inference: the role of treatment in clinical prediction models

European journal of epidemiology

Nan van Geloven

Sonja A Swanson

Chava L Ramspek

Kim Luijken

Merel van Diepen

...

2020/7

See List of Professors in Hans C. van Houwelingen University(Universiteit Leiden)

Co-Authors

H-index: 174
Frits Rosendaal

Frits Rosendaal

Universiteit Leiden

H-index: 153
T.W.J. Huizinga

T.W.J. Huizinga

Universiteit Leiden

H-index: 114
Theo Stijnen

Theo Stijnen

Universiteit Leiden

H-index: 106
Hein Putter

Hein Putter

Universiteit Leiden

H-index: 92
Saskia le Cessie

Saskia le Cessie

Universiteit Leiden

H-index: 83
Truuske (G.H.) de Bock

Truuske (G.H.) de Bock

Rijksuniversiteit Groningen

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