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  1. Article ; Online: The role of biostatistics in the response to COVID-19: a Belgian and international perspective.

    Molenberghs, Geert

    Israel journal of health policy research

    2023  Volume 12, Issue 1, Page(s) 6

    Abstract: In this commentary to Dattner et al. (Israel J Health Policy Res. 11:22, 2022), we highlight similarities and differences in the role that biostatistics and biostatisticians have been playing in the COVID-19 response in Belgium and Israel. We bring out ... ...

    Abstract In this commentary to Dattner et al. (Israel J Health Policy Res. 11:22, 2022), we highlight similarities and differences in the role that biostatistics and biostatisticians have been playing in the COVID-19 response in Belgium and Israel. We bring out implications and opportunities for our field and for science. We argue that biostatistics has an important place in the multidisciplinary COVID-19 response, in terms of research, policy advice, and science and public communication. In Belgium, biostatisticians located in various institutes, collaborated with epidemiologists, vaccinologists, infectiologists, immunologists, social scientists, and government policy makers to provide rapid and science-informed policy advice. Biostatisticians, who can easily be mobilized to work together in pandemic response, also played a role in public communication.
    MeSH term(s) Humans ; Belgium/epidemiology ; Biostatistics ; COVID-19 ; Israel/epidemiology ; Internationality ; Health Policy
    Language English
    Publishing date 2023-01-31
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 2657655-7
    ISSN 2045-4015 ; 2045-4015
    ISSN (online) 2045-4015
    ISSN 2045-4015
    DOI 10.1186/s13584-023-00554-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online ; E-Book: Estimands, estimators and sensitivity analysis in clinical trials

    Mallinckrodt, Craig / Molenberghs, Geert / Lipkovich, Ilya / Ratitch, Bohdana

    (Chapman & Hall/CRC biostatistics series)

    2020  

    Author's details Craig Mallinckrodt, Geert Molenberghs, Ilya Lipkovich, Bohdana Ratitch
    Series title Chapman & Hall/CRC biostatistics series
    Language English
    Size 1 Online-Ressource (xxv, 318 Seiten), Diagramme
    Publisher CRC Press
    Publishing place Boca Raton
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020383975
    ISBN 978-0-429-95006-3 ; 9781138592506 ; 0-429-95006-3 ; 1138592501
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Corrigendum to "Epidemiology and predictors of relapse in giant cell arteritis: A systematic review and meta-analysis" [Joint Bone Spine 2023;90 :105494].

    Moreel, Lien / Betrains, Albrecht / Molenberghs, Geert / Vanderschueren, Steven / Blockmans, Daniel

    Joint bone spine

    2024  , Page(s) 105706

    Language English
    Publishing date 2024-03-07
    Publishing country France
    Document type Published Erratum
    ZDB-ID 2020487-5
    ISSN 1778-7254 ; 1297-319X
    ISSN (online) 1778-7254
    ISSN 1297-319X
    DOI 10.1016/j.jbspin.2024.105706
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  4. Article: A dashboard for the evaluation of the effect of school closures on wellbeing of children and parents.

    Brackx, Febe / De Smedt, Bert / Molenberghs, Geert

    Archives of public health = Archives belges de sante publique

    2023  Volume 81, Issue 1, Page(s) 178

    Abstract: Background: We present a dashboard for the evaluation of the impact of school closures on children and parents during the first wave of the COVID pandemic in 2020 on the various components of wellbeing.: Methods: Starting from an explorative ... ...

    Abstract Background: We present a dashboard for the evaluation of the impact of school closures on children and parents during the first wave of the COVID pandemic in 2020 on the various components of wellbeing.
    Methods: Starting from an explorative literature search by a team of experts from diverse fields (e.g., epidemiology, virology, psychology, education, sociology), we developed a dashboard that allows for the quick evaluation of the general effect of school closures on various indicators of well-being in different groups and for the quality of the available research, at a time where a crisis is ongoing.
    Results: It is concluded that there is evidence that the school closures reduced the transmission of COVID in the first wave in springtime 2020. Nevertheless, a multitude of studies show that the school closures also had a negative impact on different components of wellbeing such as academic achievement, time spent on learning and mental health. Furthermore, the school closures affected not only the children and adolescents, but also the parents that were forced to provide more childcare and help with schoolwork. Longitudinal studies on large representative samples with repeated assessments of wellbeing are necessary to understand the long-term effects of the school closures.
    Conclusions: The dashboard provides a first visual overview of the effects of school closures on wellbeing, and can serve as the basis for a future more systematic review and meta-analysis of the effects of school closures on wellbeing. It can be considered as a paradigm for rapid obtention of scientific evidence, during a quickly unfolding crisis, also in view of underpinning policy advice.
    Language English
    Publishing date 2023-10-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 1117688-x
    ISSN 2049-3258 ; 0778-7367 ; 0003-9578
    ISSN (online) 2049-3258
    ISSN 0778-7367 ; 0003-9578
    DOI 10.1186/s13690-023-01114-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Discussion: Is the FDA in need of a major change in the way it regulates?

    Molenberghs, Geert

    Biostatistics (Oxford, England)

    2017  Volume 18, Issue 3, Page(s) 408–410

    MeSH term(s) Humans ; Stakeholder Participation ; United States ; United States Food and Drug Administration/organization & administration ; United States Food and Drug Administration/standards ; United States Food and Drug Administration/trends
    Language English
    Publishing date 2017-06-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2031500-4
    ISSN 1468-4357 ; 1465-4644
    ISSN (online) 1468-4357
    ISSN 1465-4644
    DOI 10.1093/biostatistics/kxx020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Comparing COVID‐19 incidences longitudinally per economic sector against the background of preventive measures and vaccination

    Stijven, Florian / Verbeeck, Johan / Molenberghs, Geert

    Biometrics. 2023 Sept., v. 79, no. 3 p.2516-2524

    2023  

    Abstract: In the COVID‐19 pandemic, workplace transmission plays an important role. For this type of transmission, the longitudinal 14‐day incidence curve of SARS‐CoV‐2 infections per economic sector is a proxy. In Belgium, a census of confirmed 14‐day incidences ... ...

    Abstract In the COVID‐19 pandemic, workplace transmission plays an important role. For this type of transmission, the longitudinal 14‐day incidence curve of SARS‐CoV‐2 infections per economic sector is a proxy. In Belgium, a census of confirmed 14‐day incidences per NACE‐BEL sector level three is available from September 2020 until June 2021, encompassing two waves of infections. However, these high‐dimensional data, with a relatively small number of NACE‐BEL sectors, are challenging to analyze. We propose a nonlinear Gaussian–Gaussian model that combines parametric and semi‐parametric elements to describe the incidence curves with a small set of meaningful parameters. These parameters are further analyzed with conventional statistical methods, such as CCA and linear models, to provide insight into predictive characteristics of the first wave for the second wave. Those nonlinear models classify economic sectors into three groups: sectors with two regular waves of infections, sectors with only a first wave and sectors with a more irregular profile, which may indicate a clear effect of COVID‐19 vaccination. The Gaussian–Gaussian model thus allows for analyzing and comparing incidence curves and to bring out key characteristics of such curves. Finally, we consider in which other settings the proposed approach could be applied, together with possible pitfalls.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; economic sectors ; models ; vaccination ; working conditions ; Belgium
    Language English
    Dates of publication 2023-09
    Size p. 2516-2524.
    Publishing place John Wiley & Sons, Ltd
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 213543-7
    ISSN 0099-4987 ; 0006-341X
    ISSN 0099-4987 ; 0006-341X
    DOI 10.1111/biom.13766
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

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  7. Book: Missing data in clinical studies

    Molenberghs, Geert / Kenward, Michael G.

    (Statistics in practice)

    2007  

    Author's details Geert Molenberghs ; Michael G. Kenward
    Series title Statistics in practice
    Keywords Clinical trials/Statistical methods ; Missing observations (Statistics) ; Medizinische Statistik ; Klinisches Experiment ; Fehlende Daten
    Subject Missing data ; Datenmangel ; Therapiestudie ; Klinische Studie ; Klinischer Versuch ; Klinische Forschung
    Subject code 610.724
    Language English
    Size XX, 504 S. : graph. Darst.
    Publisher Wiley
    Publishing place Chichester u.a.
    Publishing country Great Britain
    Document type Book
    HBZ-ID HT014935762
    ISBN 978-0-470-84981-1 ; 0-470-84981-9
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2007 A 1864 order for loan Magazin

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  8. Article ; Online: Comparing COVID-19 incidences longitudinally per economic sector against the background of preventive measures and vaccination.

    Stijven, Florian / Verbeeck, Johan / Molenberghs, Geert

    Biometrics

    2022  Volume 79, Issue 3, Page(s) 2516–2524

    Abstract: In the COVID-19 pandemic, workplace transmission plays an important role. For this type of transmission, the longitudinal 14-day incidence curve of SARS-CoV-2 infections per economic sector is a proxy. In Belgium, a census of confirmed 14-day incidences ... ...

    Abstract In the COVID-19 pandemic, workplace transmission plays an important role. For this type of transmission, the longitudinal 14-day incidence curve of SARS-CoV-2 infections per economic sector is a proxy. In Belgium, a census of confirmed 14-day incidences per NACE-BEL sector level three is available from September 2020 until June 2021, encompassing two waves of infections. However, these high-dimensional data, with a relatively small number of NACE-BEL sectors, are challenging to analyze. We propose a nonlinear Gaussian-Gaussian model that combines parametric and semi-parametric elements to describe the incidence curves with a small set of meaningful parameters. These parameters are further analyzed with conventional statistical methods, such as CCA and linear models, to provide insight into predictive characteristics of the first wave for the second wave. Those nonlinear models classify economic sectors into three groups: sectors with two regular waves of infections, sectors with only a first wave and sectors with a more irregular profile, which may indicate a clear effect of COVID-19 vaccination. The Gaussian-Gaussian model thus allows for analyzing and comparing incidence curves and to bring out key characteristics of such curves. Finally, we consider in which other settings the proposed approach could be applied, together with possible pitfalls.
    MeSH term(s) Humans ; COVID-19/epidemiology ; COVID-19/prevention & control ; Incidence ; SARS-CoV-2 ; Pandemics/prevention & control ; COVID-19 Vaccines ; Vaccination
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-10-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 213543-7
    ISSN 1541-0420 ; 0099-4987 ; 0006-341X
    ISSN (online) 1541-0420
    ISSN 0099-4987 ; 0006-341X
    DOI 10.1111/biom.13766
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A linear mixed model to estimate COVID‐19‐induced excess mortality

    Verbeeck, Johan / Faes, Christel / Neyens, Thomas / Hens, Niel / Verbeke, Geert / Deboosere, Patrick / Molenberghs, Geert

    Biometrics. 2023 Mar., v. 79, no. 1 p.417-425

    2023  

    Abstract: The Corona Virus Disease (COVID‐19) pandemic has increased mortality in countries worldwide. To evaluate the impact of the pandemic on mortality, the use of excess mortality rather than reported COVID‐19 deaths has been suggested. Excess mortality, ... ...

    Abstract The Corona Virus Disease (COVID‐19) pandemic has increased mortality in countries worldwide. To evaluate the impact of the pandemic on mortality, the use of excess mortality rather than reported COVID‐19 deaths has been suggested. Excess mortality, however, requires estimation of mortality under nonpandemic conditions. Although many methods exist to forecast mortality, they are either complex to apply, require many sources of information, ignore serial correlation, and/or are influenced by historical excess mortality. We propose a linear mixed model that is easy to apply, requires only historical mortality data, allows for serial correlation, and down‐weighs the influence of historical excess mortality. Appropriateness of the linear mixed model is evaluated with fit statistics and forecasting accuracy measures for Belgium and the Netherlands. Unlike the commonly used 5‐year weekly average, the linear mixed model is forecasting the year‐specific mortality, and as a result improves the estimation of excess mortality for Belgium and the Netherlands.
    Keywords COVID-19 infection ; autocorrelation ; mortality ; pandemic ; statistical models ; Belgium ; Netherlands
    Language English
    Dates of publication 2023-03
    Size p. 417-425.
    Publishing place John Wiley & Sons, Ltd
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 213543-7
    ISSN 0099-4987 ; 0006-341X
    ISSN 0099-4987 ; 0006-341X
    DOI 10.1111/biom.13578
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: The doubling effect of COVID-19 cases on key health indicators.

    Petrof, Oana / Fajgenblat, Maxime / Neyens, Thomas / Molenberghs, Geert / Faes, Christel

    PloS one

    2022  Volume 17, Issue 11, Page(s) e0275523

    Abstract: From the beginning of the COVID-19 pandemic, researchers advised policy makers to make informed decisions towards the adoption of mitigating interventions. Key easy-to-interpret metrics applied over time can measure the public health impact of epidemic ... ...

    Abstract From the beginning of the COVID-19 pandemic, researchers advised policy makers to make informed decisions towards the adoption of mitigating interventions. Key easy-to-interpret metrics applied over time can measure the public health impact of epidemic outbreaks. We propose a novel method which quantifies the effect of hospitalizations or mortality when the number of COVID-19 cases doubles. Two analyses are used, a country-by-country analysis and a multi-country approach which considers all countries simultaneously. The new measure is applied to several European countries, where the presence of different variants, vaccination rates and intervention measures taken over time leads to a different risk. Based on our results, the vaccination campaign has a clear effect for all countries analyzed, reducing the risk over time. However, the constant emergence of new variants combined with distinct intervention measures impacts differently the risk per country.
    MeSH term(s) Humans ; COVID-19/epidemiology ; COVID-19/prevention & control ; Pandemics/prevention & control ; Public Health ; Administrative Personnel ; Europe/epidemiology
    Language English
    Publishing date 2022-11-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0275523
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