Hooft, Lotty

Reporting Diagnostic Accuracy Studies: Some Improvements after 10 Years of STARD

Korevaar, D. A., Wang, J., van Enst, W. A., Leeflang, M. M., Hooft, L., Smidt, N., & Bossuyt, P. M. M. (2015) · Radiology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 110

Risk of bias of prognostic models developed using machine learning: a systematic review in oncology

Dhiman, P., Ma, J., Andaur Navarro, C. L., Speich, B., Bullock, G., Damen, J. A. A., Hooft, L., Kirtley, S., Riley, R. D., Van Calster, B., et al. (2022) · Diagnostic and Prognostic Research

Statistical Methods in EpidemiologyMachine Learning in Healthcare

Cited by 79

Trial Registration Numbers Are Underreported in Biomedical Publications

van de Wetering, F. T., Scholten, R. J. P. M., Haring, T., Clarke, M., & Hooft, L. (2012) · PLoS ONE

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 79

Routine laboratory testing to determine if a patient has COVID-19

Stegeman, I., Ochodo, E. A., Guleid, F., Holtman, G. A., Yang, B., Davenport, C., Deeks, J. J., Dinnes, J., Dittrich, S., Emperador, D., et al. (2020) · Cochrane Database of Systematic Reviews

COVID-19 Clinical Research StudiesSARS-CoV-2 detection and testing

Cited by 76

Transparent Reporting of Multivariable Prediction Models in Journal and Conference Abstracts: TRIPOD for Abstracts

Heus, P., Reitsma, J. B., Collins, G. S., Damen, J. A. A. G., Scholten, R. J. P. M., Altman, D. G., Moons, K. G. M., & Hooft, L. (2020) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 70

Meta-epidemiologic analysis indicates that MEDLINE searches are sufficient for diagnostic test accuracy systematic reviews

van Enst, W. A., Scholten, R. J. P. M., Whiting, P., Zwinderman, A. H., & Hooft, L. (2014) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 69

Clinical trial registration was associated with lower risk of bias compared with non-registered trials among trials included in systematic reviews

Lindsley, K., Fusco, N., Li, T., Scholten, R., & Hooft, L. (2022) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 52

Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review

Dhiman, P., Ma, J., Andaur Navarro, C. L., Speich, B., Bullock, G., Damen, J. A. A., Hooft, L., Kirtley, S., Riley, R. D., Van Calster, B., et al. (2023) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 41

Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with symptoms in the omicron period: cross sectional study

Schuit, E., Venekamp, R. P., Hooft, L., Veldhuijzen, I. K., van den Bijllaardt, W., Pas, S. D., Zwart, V. F., Lodder, E. B., Hellwich, M., Koppelman, M., et al. (2022) · BMJ

SARS-CoV-2 detection and testingCOVID-19 Clinical Research Studies

Cited by 41

Effectiveness of contact tracing apps for SARS-CoV-2: a rapid systematic review

Jenniskens, K., Bootsma, M. C. J., Damen, J. A. A. G., Oerbekke, M. S., Vernooij, R. W. M., Spijker, R., Moons, K. G. M., Kretzschmar, M. E. E., & Hooft, L. (2021) · BMJ Open

COVID-19 Digital Contact TracingCOVID-19 epidemiological studies

Cited by 40

Potential impact of missing outcome data on treatment effects in systematic reviews: imputation study

Kahale, L. A., Khamis, A. M., Diab, B., Chang, Y., Lopes, L. C., Agarwal, A., Li, L., Mustafa, R. A., Koujanian, S., Waziry, R., et al. (2020) · BMJ

Meta-analysis and systematic reviewsStatistical Methods and Bayesian Inference

Cited by 33

Reporting summary results in clinical trial registries: updated guidance from WHO

Chan, A.-W., Karam, G., Pymento, J., Askie, L. M., da Silva, L. R., Aymé, S., Taylor, C. M., Hooft, L., Ross, A. L., & Moorthy, V. (2025) · The Lancet Global Health

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 24

Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST): an evaluation of its use and practical application

Kaul, T., Damen, J. A. A., Wynants, L., Van Calster, B., van Smeden, M., Hooft, L., & Moons, K. G. M. (2025) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 16

Poor compliance of clinical trial registration among trials included in systematic reviews: a cohort study

Lindsley, K., Fusco, N., Teeuw, H., Mooij, E., Scholten, R., & Hooft, L. (2021) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 14

Acetaminophen for self‐reported sleep problems in an elderly population (ASLEEP): a randomized double‐blind placebo‐controlled trial

van de Glind, E. M. M., Hooft, L., Tulner, L. R., Tulen, J. H. M., te Water, W., Kuper, I. M. J. A., Hamburger, H. L., de Rooij, S. E., & van Munster, B. C. (2016) · International Journal of Geriatric Psychiatry

Sleep and related disordersObstructive Sleep Apnea Research

Cited by 9

Write your abstracts carefully—The impact of abstract reporting quality on findability by semi-automated title-abstract screening tools

Spiero, I., Leeuwenberg, A. M., Moons, K. G. M., Hooft, L., & Damen, J. A. A. (2025) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsAcademic Writing and Publishing

Cited by 3