> This section showcases publications on research conducted by ReCoDID consortium members
Continual updating and monitoring of clinical prediction models: time for dynamic prediction models?
Diagnostic and Prognostic Research, 2021.
David A. Jenkins, Glen P. Martin, Matthew Sperrin, Richard D.Riley, Thomas P.A. Debray, Gary S. Collins & Niels Peek
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Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example
Res Synth Methods. 2019 Nov 23.
Jong VMT, Moons KGM, Riley RD, Smith CT, Marson AG, Eijkemans MJC, Debray TPA
Manual and R-Code: Adjusting for misclassification of an exposure in an individual participant data meta-analysis
Github
Valentijn M. T. de Jong, Harlan Campbell, Lauren Maxwell, Thomas Jaenisch, Paul Gustafson, Thomas P. A. Debray
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic
euclid 2022 March
Harlan Campbell, Perry de Valpine, Lauren Maxwell, Valentijn M. T. de Jong, Thomas P. A. Debray, Thomas Jaenisch, Paul Gustafson
Dealing with missing data using the Heckman selection model: methods primer for epidemiologists
International Journal of Epidemiology 2023 Jan 04
Muñoz J, Hufstedler H, Gustafson P, Bärnighausen T, De Jong VMT, Debray TPA
Multiple imputation of incomplete multilevel data using Heckman selection models
ArXiv 2023 Jan 12
Johanna Muñoz, Matthias Egger, Orestis Efthimiou, Vincent Audigier, Valentijn M. T. de Jong, Thomas. P. A. Debray
Limitations introduced by a low participation rate of SARS-CoV-2 seroprevalence data
Int J Epidemiol. 2022 Sep 26
Olivia Pluss, Harlan Campbell, Laura Pezzi, Ivonne Morales, Yannik Roell, Talia M Quandelacy, Rahul Krishan Arora, Emily Boucher, Molly M Lamb, May Chu, Till Bärnighausen, Thomas Jaenisch
Challenges of data sharing in European Covid-19 projects: A learning opportunity for advancing pandemic preparedness and response
Lancet Reg Health Eur 2022 Oct
Tacconelli E, Gorska A, Carrara E, Davis RJ, Bonten M, Friedrich AW, Glasner C, Goossens H, Hasenauer J, Abad JMH, Peñalvo JL, Sanchez-Niubo A, Sialm A, Scipione G, Soriano G, Yazdanpanah Y, Vorstenbosch E, Jaenisch T.
Perpetual Observational Studies: New strategies to support efficient implementation of observational studies and randomized trials in infectious diseases
Clin Microbiol Inf. 2022 August
Hassoun-Kheir N, van Werkhofen CH, Dunning J, Jaenisch T, van Beek J, Bielicki J, Butler C, Francois B, Harbarth S, Hernandez Padilla AC, Horby P, Koopmans M, Lee J, Rodriguez/Bano J, Tacconelli E, Themistocleous Y, van der Welden AW, Bonten M, Goosens H, de Kraker MEA.
Systematic Review Reveals Lack of Causal Methodology Applied to Pooled Longitudinal Observational Infectious Disease Studies
J Clin Epidemiol. 2022 Jan 16
Hufstedler H*, Rahman S, Danzer AM, Goymann H, de Jong VMT, Campbell H, Gustafson P, Debray TPA, Jaenisch T, Maxwell L, Matthay EC, Bärnighausen T.
Adjusting for misclassification of an exposure in an individual participant data meta-analysis
de Jong, V. M., Campbell, H., Maxwell, L., Jaenisch, T., Gustafson, P., & Debray, T. P. (2023). Adjusting for misclassification of an exposure in an individual participant data meta‐analysis. Research Synthesis Methods, 14(2), 193-210.
Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate
Campbell, H., De Valpine, P., Maxwell, L., De Jong, V. M., Debray, T. P., Jaenisch, T., & Gustafson, P. (2022). Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic. The Annals of Applied Statistics, 16(1), 436-459.
Inferring the COVID-19 infection fatality rate in the community-dwelling population: a simple Bayesian evidence synthesis of seroprevalence study data and imprecise mortality data.
Campbell, H., & Gustafson, P. (2021). Inferring the COVID-19 infection fatality rate in the community-dwelling population: a simple Bayesian evidence synthesis of seroprevalence study data and imprecise mortality data. Epidemiology & Infection, 149, e243.
" How about me giving blood for the COVID vaccine and not being able to get vaccinated?" A cognitive interview study on understanding of and agreement with broad consent for future use of data and samples in Colombia and Nicaragua
Maxwell, L., Chamorro, J. B., Leegstra, L. M., Laguna, H. S., & Miranda Montoya, M. C. (2023). ” How about me giving blood for the COVID vaccine and not being able to get vaccinated?” A cognitive interview study on understanding of and agreement with broad consent for future use of data and samples in Colombia and Nicaragua. PLOS Global Public Health, 3(5), e0001253.
A blank check or a global public good? A qualitative study of how ethics review committee members in Colombia weigh the risks and benefits of broad consent for data and sample sharing during a pandemic.
Montoya, M. C. M., Chamorro, J. B., Leegstra, L. M., Ortiz, D. D., & Maxwell, L. (2022). A blank check or a global public good? A qualitative study of how ethics review committee members in Colombia weigh the risks and benefits of broad consent for data and sample sharing during a pandemic. PLOS Global Public Health, 2(6).