T. Klausch

发表

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

Mark Hoogendoorn, Ari Ercole, Tingjie Guo, 2020, Intensive Care Medicine.

Measurement Effects of Survey Mode on the Equivalence of Attitudinal Rating Scale Questions

Barry Schouten, Joop J. Hox, Thomas Klausch, 2013 .

Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock — rationale and design of a multicenter randomized controlled superiority trial

P. V. D. van der Voort, P. Elbers, E. Swart, 2019, Trials.

A progressive three-state model to estimate time to cancer: a likelihood-based approach

Eddymurphy U. Akwiwu, J. Berkhof, M. Kalager, 2022, BMC Medical Research Methodology.

Estimation of predictive performance in high-dimensional data settings using learning curves

M. V. D. Wiel, T. Klausch, Jeroen M. Goedhart, 2022, Comput. Stat. Data Anal..

Short-term outcome for high-risk patients after esophagectomy

F. Daams, T. Klausch, D. L. van der Peet, 2021, Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus.

AB0160 HIGH NUMBER OF CONCOMITANT MEDICATIONS AND COMORBIDITIES AT BASELINE IN THE GLUCOCORTICOID LOW-DOSE OUTCOME IN RHEUMATOID ARTHRITIS (GLORIA) STUDY: AN OLDER POPULATION WITH RHEUMATOID ARTHRITIS

C. Allaart, M. Boers, F. Buttgereit, 2021, Annals of the Rheumatic Diseases.

Validation of the Dutch-Flemish PROMIS Pain Interference Item Bank in Patients With Musculoskeletal Complaints

C. Terwee, H. D. de Vet, B. Terluin, 2019, Spine.

Psychometric properties of the Dutch-Flemish PROMIS Pain Behavior item bank in patients with musculoskeletal complaints.

C. Terwee, H. D. de Vet, B. Terluin, 2019, The journal of pain : official journal of the American Pain Society.

Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome

Ellen G. M. Smit, M. Hoogendoorn, D. Gommers, 2021, Critical care explorations.

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

Ali el Hassouni, Ellen G. M. Smit, M. Hoogendoorn, 2022, Annals of Intensive Care.

Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse

Masoume M. Raeissi, Ellen G. M. Smit, M. Hoogendoorn, 2021, Intensive Care Medicine.

A progressive three-state model to estimate time to cancer: a likelihood-based approach

Eddymurphy U. Akwiwu, J. Berkhof, M. Kalager, 2022, BMC Medical Research Methodology.

Tree-based machine learning methods for survey research

Frauke Kreuter, Christoph Kern, Thomas Klausch, 2019 .

Estimating Bayesian Optimal Treatment Regimes for Dichotomous Outcomes using Observational Data.

Mark A. van de Wiel, Thomas Klausch, Peter van de Ven, 2018, 1809.06679.

Association of Cognitive Function Trajectories in Centenarians With Postmortem Neuropathology, Physical Health, and Other Risk Factors for Cognitive Decline

P. Scheltens, S. Sikkes, M. Hulsman, 2021, JAMA network open.

Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project

J. Berkhof, F. Hoebers, C. R. Leemans, 2020, Head & neck.

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

Ali el Hassouni, Ellen G. M. Smit, M. Hoogendoorn, 2021, Intensive Care Medicine Experimental.

The important role of cisplatin in the treatment of HPV-positive oropharyngeal cancer assessed by real-world data analysis.

J. Berkhof, F. Hoebers, T. Poli, 2021, Oral oncology.

Harm, benefit and costs associated with low-dose glucocorticoids added to the treatment strategies for rheumatoid arthritis in elderly patients (GLORIA trial): study protocol for a randomised controlled trial

W. Lems, M. Boers, S. Ralston, 2018, Trials.

Selection error in single‐ and mixed mode surveys of the Dutch general population

Barry Schouten, Joop J. Hox, Thomas Klausch, 2015 .

Disentangling mode-specific selection and measurement bias in social surveys.

Barry Schouten, Bart Buelens, Thomas Klausch, 2013, Social science research.

Adjusting Measurement Bias in Sequential Mixed-Mode Surveys using re-interview data

Barry Schouten, Bart Buelens, Jan van den Brakel, 2017 .

Watching Closely: Shot Scale Influences Theory of Mind Response in Visual Narratives

Thomas Klausch, Tibor Pólya, Katalin Bálint, 2018, J. Media Psychol. Theor. Methods Appl..

A Bayesian accelerated failure time model for interval censored three-state screening outcomes

Thomas Klausch, Johannes Berkhof, Mark A. van de Wiel, 2021, The Annals of Applied Statistics.

The Dutch-Flemish PROMIS Physical Function item bank exhibited strong psychometric properties in patients with chronic pain.

C. Terwee, D. Cella, H. D. de Vet, 2017, Journal of clinical epidemiology.

Estimating adjuvant treatment effects in Stage II colon cancer: Comparing the synthesis of randomized clinical trial data to real‐world data

M. Koopman, C. Punt, T. Klausch, 2019, International journal of cancer.

Evaluating Bias of Sequential Mixed-mode Designs Against Benchmark Surveys

Barry Schouten, Joop J. Hox, Thomas Klausch, 2017 .

Psychometric properties of the PROMIS Physical Function item bank in patients receiving physical therapy

C. Terwee, L. Roorda, P. J. van der Wees, 2018, PloS one.