Search Results - "Marcon, Yannick"

Fostering population-based cohort data discovery: The Maelstrom Research cataloguing toolkit by Bergeron, Julie, Doiron, Dany, Marcon, Yannick, Ferretti, Vincent, Fortier, Isabel

“…The lack of accessible and structured documentation creates major barriers for investigators interested in understanding, properly interpreting and analyzing…”
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Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD by Marcon, Yannick, Bishop, Tom, Avraam, Demetris, Escriba-Montagut, Xavier, Ryser-Welch, Patricia, Wheater, Stuart, Burton, Paul, González, Juan R

“…Combined analysis of multiple, large datasets is a common objective in the health- and biosciences. Existing methods tend to require researchers to physically…”
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Data harmonization and federated analysis of population-based studies: the BioSHaRE project by Doiron, Dany, Burton, Paul, Marcon, Yannick, Gaye, Amadou, Wolffenbuttel, Bruce H R, Perola, Markus, Stolk, Ronald P, Foco, Luisa, Minelli, Cosetta, Waldenberger, Melanie, Holle, Rolf, Kvaløy, Kirsti, Hillege, Hans L, Tassé, Anne-Marie, Ferretti, Vincent, Fortier, Isabel

“…Individual-level data pooling of large population-based studies across research centres in international research projects faces many hurdles. The BioSHaRE…”
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Worldwide mapping of initiatives that integrate population cohorts by Rico-Uribe, Laura Alejandra, Morillo-Cuadrado, Daniel, Rodríguez-Laso, Ángel, Vorstenbosch, Ellen, Weser, Andreas J., Fincias, Laura, Marcon, Yannick, Rodriguez-Mañas, Leocadio, Haro, Josep María, Ayuso-Mateos, José Luis

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Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination by Doiron, Dany, Marcon, Yannick, Fortier, Isabel, Burton, Paul, Ferretti, Vincent

“…Improving the dissemination of information on existing epidemiological studies and facilitating the interoperability of study databases are essential to…”
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DataSHIELD: taking the analysis to the data, not the data to the analysis by GAYE, Amadou, MARCON, Yannick, WILSON, Rebecca, BUTTERS, Oliver, MURTAGH, Barnaby, DEMIR, Ipek, DOIRON, Dany, GIEPMANS, Lisette, WALLACE, Susan E, BUDIN-LJØSNE, Isabelle, SCHMIDT, Carsten Oliver, BOFFETTA, Paolo, ISAEVA, Julia, BONIOL, Mathieu, BOTA, Maria, CARTER, Kim W, DEKLERK, Nick, DIBBEN, Chris, FRANCIS, Richard W, HIEKKALINNA, Tero, HVEEM, Kristian, KVALOY, Kirsti, MILLAR, Sean, LAFLAMME, Philippe, PERRY, Ivan J, PETERS, Annette, PHILLIPS, Catherine M, POPHAM, Frank, RAAB, Gillian, REISCHL, Eva, SHEEHAN, Nuala, WALDENBERGER, Melanie, PEROLA, Markus, VAN DEN HEUVEL, Edwin, TURNER, Andrew, MACLEOD, John, KNOPPERS, Bartha M, STOLK, Ronald P, FORTIER, Isabel, HARRIS, Jennifer R, WOFFENBUTTEL, Bruce Hr, MURTAGH, Madeleine J, FERRETTI, Vincent, BURTON, Paul R, JONES, Elinor M, MINION, Joel, BOYD, Andrew W, NEWBY, Christopher J, NUOTIO, Marja-Liisa

“…Research in modern biomedicine and social science requires sample sizes so large that they can often only be achieved through a pooled co-analysis of data from…”
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Software Application Profile: ShinyDataSHIELD—an R Shiny application to perform federated non-disclosive data analysis in multicohort studies by Escribà-Montagut, Xavier, Marcon, Yannick, Avraam, Demetris, Banerjee, Soumya, Bishop, Tom R P, Burton, Paul, González, Juan R

“…Abstract Motivation DataSHIELD is an open-source software infrastructure enabling the analysis of data distributed across multiple databases (federated data)…”
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dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning by Cao, Han, Zhang, Youcheng, Baumbach, Jan, Burton, Paul R, Dwyer, Dominic, Koutsouleris, Nikolaos, Matschinske, Julian, Marcon, Yannick, Rajan, Sivanesan, Rieg, Thilo, Ryser-Welch, Patricia, Späth, Julian, Herrmann, Carl, Schwarz, Emanuel

“…Abstract Motivation In multi-cohort machine learning studies, it is critical to differentiate between effects that are reproducible across cohorts and those…”
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Towards an Interoperable Ecosystem of Research Cohort and Real-world Data Catalogues Enabling Multi-center Studies by Swertz, Morris, van Enckevort, Esther, Oliveira, José Luis, Fortier, Isabel, Bergeron, Julie, Thurin, Nicolas H., Hyde, Eleanor, Kellmann, Alexander, Pahoueshnja, Romin, Sturkenboom, Miriam, Cunnington, Marianne, Nybo Andersen, Anne-Marie, Marcon, Yannick, Gonçalves, Gonçalo, Gini, Rosa

“…Objectives: Existing individual-level human data cover large populations on many dimensions such as lifestyle, demography, laboratory measures, clinical…”
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Life course of retrospective harmonization initiatives: key elements to consider by Fortier, Isabel, Wey, Tina W, Bergeron, Julie, Pinot de Moira, Angela, Nybo-Andersen, Anne-Marie, Bishop, Tom, Murtagh, Madeleine J, Miočević, Milica, Swertz, Morris A, van Enckevort, Esther, Marcon, Yannick, Mayrhofer, Michaela Th, Ornelas, Jos Pedro, Sebert, Sylvain, Santos, Ana Cristina, Rocha, Artur, Wilson, Rebecca C, Griffith, Lauren E, Burton, Paul

“…Optimizing research on the developmental origins of health and disease (DOHaD) involves implementing initiatives maximizing the use of the available cohort…”
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Towards an Interoperable Ecosystem of Research Cohort and Real-world Data Catalogues Enabling Multi-center Studies by Swertz, Morris, van Enckevort, Esther, Oliveira, José Luis, Fortier, Isabel, Bergeron, Julie, Thurin, Nicolas H, Hyde, Eleanor, Kellmann, Alexander, Pahoueshnja, Romin, Sturkenboom, Miriam, Cunnington, Marianne, Nybo Andersen, Anne-Marie, Marcon, Yannick, Gonçalves, Gonçalo, Gini, Rosa

“…Existing individual-level human data cover large populations on many dimensions such as lifestyle, demography, laboratory measures, clinical parameters, etc…”
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