scispace - formally typeset
J

Jelle J. Goeman

Researcher at Leiden University Medical Center

Publications -  209
Citations -  10956

Jelle J. Goeman is an academic researcher from Leiden University Medical Center. The author has contributed to research in topics: Multiple comparisons problem & Medicine. The author has an hindex of 43, co-authored 182 publications receiving 8598 citations. Previous affiliations of Jelle J. Goeman include Leiden University & Royal Holloway, University of London.

Papers
More filters
Journal ArticleDOI

A global test for groups of genes: testing association with a clinical outcome

TL;DR: A global test to be used for the analysis of microarray data to determine whether the global expression pattern of a group of genes is significantly related to some clinical outcome of interest.
Journal ArticleDOI

Plea for routinely presenting prediction intervals in meta-analysis.

TL;DR: The prediction interval reflects the variation in treatment effects over different settings, including what effect is to be expected in future patients, such as the patients that a clinician is interested to treat, in meta-analyses.
Journal ArticleDOI

Analyzing gene expression data in terms of gene sets

TL;DR: It is argued that methods that competitively test each gene set against the rest of the genes create an unnecessary rift between single gene testing and gene set testing.
Journal ArticleDOI

L1 Penalized Estimation in the Cox Proportional Hazards Model

TL;DR: A novel algorithm that efficiently computes L1 penalized (lasso) estimates of parameters in high‐dimensional models, based on a combination of gradient ascent optimization with the Newton–Raphson algorithm, which is described for a general likelihood function.
Journal ArticleDOI

Variability in the analysis of a single neuroimaging dataset by many teams

Rotem Botvinik-Nezer, +220 more
- 04 Jun 2020 - 
TL;DR: The results obtained by seventy different teams analysing the same functional magnetic resonance imaging dataset show substantial variation, highlighting the influence of analytical choices and the importance of sharing workflows publicly and performing multiple analyses.