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Timo B. Brakenhoff
Timo B. Brakenhoff
Julius Clinical
Verified email at juliusclinical.com
Title
Cited by
Cited by
Year
Measurement error is often neglected in medical literature: a systematic review
TB Brakenhoff, M Mitroiu, RH Keogh, KGM Moons, RHH Groenwold, ...
Journal of clinical epidemiology 98, 89-97, 2018
1082018
Random measurement error: why worry? An example of cardiovascular risk factors
TB Brakenhoff, M Van Smeden, FLJ Visseren, RHH Groenwold
PloS one 13 (2), e0192298, 2018
612018
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review
M Mitratza, BM Goodale, A Shagadatova, V Kovacevic, J Van de Wijgert, ...
The Lancet Digital Health 4 (5), e370-e383, 2022
442022
A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the remote early detection of …
TB Brakenhoff, B Franks, BM Goodale, J van de Wijgert, S Montes, ...
Trials 22 (1), 412, 2021
212021
Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: An interim analysis of a prospective …
M Risch, K Grossmann, S Aeschbacher, OC Weideli, M Kovac, F Pereira, ...
BMJ open 12 (6), e058274, 2022
172022
Bayesian sample size re-estimation using power priors
TB Brakenhoff, KCB Roes, S Nikolakopoulos
Statistical methods in medical research 28 (6), 1664-1675, 2019
172019
The effects of misclassification in routine healthcare databases on the accuracy of prognostic prediction models: a case study of the CHA2DS2-VASc score in atrial fibrillation
S van Doorn, TB Brakenhoff, KGM Moons, FH Rutten, AW Hoes, ...
Diagnostic and prognostic research 1, 1-9, 2017
132017
Investigating risk adjustment methods for health care provider profiling when observations are scarce or events rare
TB Brakenhoff, KGM Moons, J Kluin, RHH Groenwold
Health services insights 11, 1178632918785133, 2018
72018
Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4‐Chamber Ultrasounds
LH Cheng, PBJ Bosch, RFH Hofman, TB Brakenhoff, EF Bruggemans, ...
Journal of the American Heart Association 11 (16), e024168, 2022
42022
Adjusting for disease severity across ICUs in multicenter studies
TB Brakenhoff, NL Plantinga, BHJ Wittekamp, O Cremer, DW de Lange, ...
Critical Care Medicine 47 (8), e662-e668, 2019
22019
Outlier classification performance of risk adjustment methods when profiling multiple providers
TB Brakenhoff, KCB Roes, KGM Moons, RHH Groenwold
BMC Medical Research Methodology 18, 1-16, 2018
22018
Different inhibitor incidence for individual factor VIII concentrates in 1076 previously untreated patients with severe hemophilia A: data from the PedNet cohort
K Fischer, M Carcao, C Male, S Ranta, H Pergantou, G Kenet, ...
Journal of Thrombosis and Haemostasis 21 (3), 700-703, 2023
12023
Menstrual Cycle Influence on COVID-19 Detection Using Machine Learning and a Wearable Medical Device [A120]
V Kovacevic, A Markovic, D Veen, TB Brakenhoff, M Mitratza, BM Goodale
Obstetrics & Gynecology 139, 35S, 2022
12022
Sex-specific differences in physiological parameters related to SARS-CoV-2 infections among a national cohort (COVI-GAPP study)
K Grossmann, M Risch, A Markovic, S Aeschbacher, OC Weideli, L Velez, ...
Plos one 19 (3), e0292203, 2024
2024
Statistical Analysis—Measurement Error
TB Brakenhoff, M van Smeden, DL Oberski
Clinical Applications of Artificial Intelligence in Real-World Data, 97-108, 2023
2023
Physiological Response to COVID-19 Vaccine: Evidence for Sex Differences?
A Markovic, V Kovacevic, TB Brakenhoff, D Veen, P Klaver, M Mitratza, ...
Available at SSRN 4477224, 2023
2023
Confounding and measurement error correction in epidemiological research
TB Brakenhoff
Utrecht University, 2018
2018
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Articles 1–17