Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bram Timmers"'
Autor:
Koen Derks, Julian Burger, Johnny van Doorn, Jolanda J. Kossakowski, Dora Matzke, Ludovica Atticciati, Julia Beitner, Viket Benzesin, Anne L. de Bruijn, Tara R. H. Cohen, Elisa P. A. Cordesius, Marit van Dekken, Nora Delvendahl, Simone Dobbelaar, Eva R. Groenendijk, Merel E. Hermans, Anu P. Hiekkaranta, Ria H. A. Hoekstra, Agnes M. Hoffmann, Sally A. M. Hogenboom, Sercan Kahveci, Irina J. Karaban, Sofieke Kevenaar, Jurriaan L. te Koppele, Anne-wil Kramer, Emese Kroon, Šimon Kucharský, Ricardo Lieuw-On, Gaby Lunansky, Timo P. Matzen, Annemarie Meijer, Annika Nieper, Laura de Nooij, Leonie Poelstra, Wikke J. van der Putten, Alexandra Sarafoglou, Jessica V. Schaaf, Sara A. J. van de Schraaf, Steven van Schuppen, Manon H. M. Schutte, Mitja Seibold, Scarlett K. Slagter, Aishah C. Snoek, Selina Stracke, Zenab Tamimy, Bram Timmers, Han Tran, Elizabeth S. Uduwa-Vidanalage, Laura Vergeer, Linos Vossoughi, Dilan E. Yücel, Eric-Jan Wagenmakers
Publikováno v:
Journal of European Psychology Students, Vol 9, Iss 1, Pp 48-57 (2018)
We outline a network method to synthesize a literature overview from search results obtained by multiple team members. Several network statistics are used to create a single representativeness ranking. We illustrate the method with the dispersed lite
Externí odkaz:
https://doaj.org/article/9800a8d01f1f48d0a44163995f301424
Autor:
Bram Timmers, Willem M. Otte, Eric-Jan Wagenmakers, Quentin Frederik Gronau, Alexander Ly, František Bartoš
Publikováno v:
Statistics in Medicine, 40(30), 6743-6761. John Wiley and Sons Ltd
Statistics in Medicine, 2021, 1-19
Statistics in Medicine, 2021, 1-19
We outline a Bayesian model-averaged (BMA) meta-analysis for standardized mean differences in order to quantify evidence for both treatment effectiveness δ and across-study heterogeneity 𝜏. We construct four competing models by orthogonally combi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed59d78b1e3e7137161b1f07a6efe36
https://dare.uva.nl/personal/pure/en/publications/bayesian-modelaveraged-metaanalysis-in-medicine(9926e3b0-0e75-4919-a4f7-f2e69f0b465d).html
https://dare.uva.nl/personal/pure/en/publications/bayesian-modelaveraged-metaanalysis-in-medicine(9926e3b0-0e75-4919-a4f7-f2e69f0b465d).html
Autor:
Šimon Kucharský, Viket Benzesin, Annika Nieper, Simone Dobbelaar, Ricardo L.R. Lieuw-On, Laura Vergeer, Alexandra Sarafoglou, Jurriaan L. te Koppele, Julia Beitner, Wikke J Van der Putten, Ria H. A. Hoekstra, Selina Stracke, Aishah Snoek, Nora Delvendahl, Sally A. M. Hogenboom, Marit van Dekken, Steven van Schuppen, Sercan Kahveci, Koen Derks, Dora Matzke, Scarlett K. Slagter, Anne-wil Kramer, Mitja Seibold, Johnny van Doorn, Bram Timmers, Han Tran, Sofieke T. Kevenaar, Irina J. Karaban, Sara A. J. van de Schraaf, Elizabeth S. Uduwa-Vidanalage, Emese Kroon, Gaby Lunansky, Leonie Poelstra, Eric-Jan Wagenmakers, Anne Leonore de Bruijn, Zenab Tamimy, Eva Groenendijk, Dilan E. Yücel, Ludovica Atticciati, Manon H. M. Schutte, Jolanda J. Kossakowski, Timo P. Matzen, A. M. Meijer, Linos Vossoughi, Agnes M. Hoffmann, Elisa Cordesius, Anu P. Hiekkaranta, Merel E. Hermans, Jessica V. Schaaf, Tara R. H. Cohen, Julian Burger, Laura de Nooij
Publikováno v:
Journal of European Psychology Students
Journal of European Psychology Students, Vol 9, Iss 1, Pp 48-57 (2018)
Journal of European Psychology Students, 9, 48-57
Derks, K, Burger, J, . .],, Tamimy, Z, . .] & Wagenmakers, E-J 2018, ' Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance ', Journal of European Psychology Students . https://doi.org/10.5334/jeps.458
Journal of European Psychology Students; Vol 9, No 1 (2018); 48-57
Journal of European Psychology Students, Vol 9, Iss 1, Pp 48-57 (2018)
Journal of European Psychology Students, 9, 48-57
Derks, K, Burger, J, . .],, Tamimy, Z, . .] & Wagenmakers, E-J 2018, ' Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance ', Journal of European Psychology Students . https://doi.org/10.5334/jeps.458
Journal of European Psychology Students; Vol 9, No 1 (2018); 48-57
We outline a network method to synthesize a literature overview from search results obtained by multiple team members. Several network statistics are used to create a single representativeness ranking. We illustrate the method with the dispersed lite