Lianne Ippel
Geciteerd door
Geciteerd door
A privacy-preserving infrastructure for analyzing personal health data in a vertically partitioned scenario
C Sun, L Ippel, J Van Soest, B Wouters, A Malic, O Adekunle, ...
MEDINFO 2019: Health and Wellbeing e-Networks for All, 373-377, 2019
Investigating longitudinal and cross cultural measurement invariance of Inglehart’s short post-materialism scale
L Ippel, JPTM Gelissen, GBD Moors
Social Indicators Research 115, 919-932, 2014
Dealing With Data Streams
L Ippel, M Kaptein, J Vermunt
Methodology 12, 124-138, 2016
Estimating random-intercept models on data streams
L Ippel, MC Kaptein, JK Vermunt
Computational Statistics & Data Analysis 104, 169-182, 2016
Putting the GDPR into practice: difficulties and uncertainties experienced in the conduct of big data health research
B Wouters, D Shaw, C Sun, L Ippel, J van Soest, B van den Berg, ...
Eur. Data Prot. L. Rev. 7, 206, 2021
A systematic review on privacy-preserving distributed data mining
C Sun, L Ippel, A Dekker, M Dumontier, J Van Soest
Data Science 4 (2), 121-150, 2021
Privacy Preserving -Party Scalar Product Protocol
F Van Daalen, L Ippel, A Dekker, I Bermejo
IEEE Transactions on Parallel and Distributed Systems 34 (4), 1060-1066, 2023
Estimating Multilevel Models on Data Streams
L Ippel, MC Kaptein, JK Vermunt
Psychometrika 84 (1), 41–64, 2019
Efficient standard errors in item response theory models for short tests
L Ippel, D Magis
Educational and Psychological Measurement 80 (3), 461-475, 2020
Analyzing partitioned fair health data Responsibly
C Sun, L Ippel, B Wouters, J van Soest, A Malic, O Adekunle, B Berg, ...
arXiv preprint arXiv:1812.00991, 2018
Privacy-preserving generalized linear models using distributed block coordinate descent
EJ van Kesteren, C Sun, DL Oberski, M Dumontier, L Ippel
arXiv preprint arXiv:1911.03183, 2019
Online estimation of individual-level effects using streaming shrinkage factors
L Ippel, MC Kaptein, JK Vermunt
Computational Statistics & Data Analysis 137 (September), 16-32, 2019
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values
F Van Daalen, L Ippel, A Dekker, I Bermejo
Complex & Intelligent Systems, 1-13, 2024
Digital health solutions to reduce the burden of atherosclerotic cardiovascular disease proposed by the CARRIER consortium
B Scheenstra, A Bruninx, F van Daalen, N Stahl, E Latuapon, M Imkamp, ...
JMIR cardio 6 (2), e37437, 2022
Getting started with [r]; a brief introduction
L Ippel
Modern Statistical Methods for HCI, 19-35, 2016
Federated Bayesian Network Ensembles
F Van Daalen, L Ippel, A Dekker, I Bermejo
2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC …, 2023
Federated Ensembles: a literature review
F Daalen, L Ippel, A Dekker, I Bermejo
Analyzing data streams for social scientists
L Ippel, M Kaptein, JK Vermunt
Handbook of Computational Social Science, Volume 2, 71-81, 2021
Learning from Partitioned Data
L Ippel
Multilevel modeling for data streams with dependent observations
L Ippel
Tilburg University, 2017
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