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M. Jonker

6 papers hereh-index 448 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • math.ST1
  • stat.AP1
same name
  • M. Jonker — 16 papers, h 18
  • M. Jonker — 10 papers, h 35
  • M. Jonker — 5 papers, h 8
  • M. Jonker — 1 paper
  • M. Jonker — 1 paper, h 1
  • M. Jonker — 1 paper, h 34

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedCorrection of overfitting bias in regression models

6 citations · 12 across the 6 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2026

BFI: An R Package for Bayesian Federated Inference

Hassan Pazira, Marianne A. Jonker

Bayesian Federated Inference (BFI) estimates statistical models from multicenter data when individual-level observations cannot be combined across centers. We present \pkg{BFI}, an…

stat.ME2026

An Accurate and Single-Communication Federated Inference Algorithm

Laura Montagnani, Anthony CC Coolen, Marianne A Jonker

Joint analyses across multiple institutions are increasingly important in biomedical and epidemiological research, particularly for rare diseases where datasets are typical small.…

stat.ME2024★ 1 cited

Bayesian Federated Inference for Survival Models

Hassan Pazira, Emanuele Massa, Jetty AM Weijers +2

In cancer research, overall survival and progression free survival are often analyzed with the Cox model. To estimate accurately the parameters in the model, sufficient data and, m…

stat.ME2022★ 6 cited

Correction of overfitting bias in regression models

Emanuele Massa, Marianne Jonker, Kit Roes +1

Regression analysis based on many covariates is becoming increasingly common. However, when the number of covariates p is of the same order as the number of observations n, max…

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