> 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
View the Publication

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 Methods14(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 Statistics16(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 & Infection149, 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 Health3(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 Health2(6).