Research Synthesis Methods

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  • 2024 Journal Article | 
    ​ ​Bayesian random‐effects meta‐analysis with empirical heterogeneity priors for application in health technology assessment with very few studies​
    Lilienthal, J.; Sturtz, S.; Schürmann, C.; Maiworm, M.; Röver, C. ; Friede, T. & Bender, R.​ (2024) 
    Research Synthesis Methods15(2) art. jrsm.1685​.​ DOI: https://doi.org/10.1002/jrsm.1685 
    Details  DOI  PMID  PMC 
  • 2024 Journal Article
    ​ ​Footprint of publication selection bias on meta‐analyses in medicine, environmental sciences, psychology, and economics​
    Bartoš, F.; Maier, M.; Wagenmakers, E.; Nippold, F.; Doucouliagos, H.; Ioannidis, J. P. A. & Otte, W. M. et al.​ (2024) 
    Research Synthesis Methods, art. jrsm.1703​.​ DOI: https://doi.org/10.1002/jrsm.1703 
    Details  DOI 
  • 2024 Journal Article
    ​ ​Estimating the extent of selective reporting: An application to economics​
    Bruns, S. B.; Deressa, T. K.; Stanley, T. D.; Doucouliagos, C. & Ioannidis, J. P. A.​ (2024) 
    Research Synthesis Methods, art. jrsm.1711​.​ DOI: https://doi.org/10.1002/jrsm.1711 
    Details  DOI 
  • 2023 Journal Article
    ​ ​The consequences of neglected confounding and interactions in mixed‐effects meta‐regression: An illustrative example​
    Knop, E. S.; Pauly, M.; Friede, T. & Welz, T.​ (2023) 
    Research Synthesis Methods, art. jrsm.1643​.​ DOI: https://doi.org/10.1002/jrsm.1643 
    Details  DOI 
  • 2023 Journal Article
    ​ ​How trace plots help interpret meta‐analysis results​
    Röver, C.; Rindskopf, D. & Friede, T.​ (2023) 
    Research Synthesis Methods, art. jrsm.1693​.​ DOI: https://doi.org/10.1002/jrsm.1693 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​Double arcsine transform not appropriate for meta‐analysis​
    Röver, C.   & Friede, T.​ (2022) 
    Research Synthesis Methods13(5) art. jrsm.1591​.​ DOI: https://doi.org/10.1002/jrsm.1591 
    Details  DOI  arXiv 
  • 2021 Journal Article | 
    ​ ​A confidence interval robust to publication bias for random‐effects meta‐analysis of few studies​
    Henmi, M.; Hattori, S. & Friede, T. ​ (2021) 
    Research Synthesis Methods,.​ DOI: https://doi.org/10.1002/jrsm.1482 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis​
    Röver, C. ; Bender, R.; Dias, S.; Schmid, C. H.; Schmidli, H.; Sturtz, S. & Weber, S. et al.​ (2021) 
    Research Synthesis Methods,.​ DOI: https://doi.org/10.1002/jrsm.1475 
    Details  DOI 
  • 2021 Journal Article
    ​ ​Using clinical trial registries to inform Copas selection model for publication bias in meta‐analysis​
    Huang, A.; Komukai, S.; Friede, T. & Hattori, S.​ (2021) 
    Research Synthesis Methods12(5) pp. 658​-673​.​ DOI: https://doi.org/10.1002/jrsm.1506 
    Details  DOI 
  • 2020 Journal Article | Research Paper
    ​ ​Assessing context suitability (generalizability, external validity, applicability or transferability) of findings in evidence syntheses in healthcare-An integrative review of methodological guidance​
    Weise, A.; Büchter, R.; Pieper, D. & Mathes, T. ​ (2020) 
    Research Synthesis Methods11(6) pp. 760​-779​.​ DOI: https://doi.org/10.1002/jrsm.1453 
    Details  DOI  PMID  PMC 
  • 2020 Journal Article | Research Paper
    ​ ​Epidemiology and reporting characteristics of non-Cochrane updates of systematic reviews: A cross-sectional study​
    Rombey, T.; Lochner, V.; Puljak, L.; Könsgen, N.; Mathes, T.   & Pieper, D.​ (2020) 
    Research Synthesis Methods11(3) pp. 471​-483​.​ DOI: https://doi.org/10.1002/jrsm.1409 
    Details  DOI  PMID  PMC 
  • 2019 Journal Article | Research Paper
    ​ ​Systematic reviews of health economic evaluations: A structured analysis of characteristics and methods applied​
    Luhnen, M.; Prediger, B.; Neugebauer, E. A. M. & Mathes, T. ​ (2019) 
    Research Synthesis Methods10(2) pp. 195​-206​.​ DOI: https://doi.org/10.1002/jrsm.1342 
    Details  DOI  PMID  PMC 
  • 2019 Journal Article | 
    ​ ​Random‐effects meta‐analysis of few studies involving rare events​
    Günhan, B. K. ; Röver, C.   & Friede, T. ​ (2019) 
    Research Synthesis Methods11(1) pp. 74​-90​.​ DOI: https://doi.org/10.1002/jrsm.1370 
    Details  DOI 
  • 2018 Journal Article | Research Paper
    ​ ​A comparison of methods for meta-analysis of a small number of studies with binary outcomes​
    Mathes, T.   & Kuss, O.​ (2018) 
    Research Synthesis Methods9(3) pp. 366​-381​.​ DOI: https://doi.org/10.1002/jrsm.1296 
    Details  DOI  PMID  PMC 
  • 2018 Journal Article
    ​ ​Methods for evidence synthesis in the case of very few studies​
    Bender, R.; Koch, A.; Kuss, O.; Schlattmann, P.; Schwarzer, G.; Skipka, G. & Friede, T. ​ (2018) 
    Research Synthesis Methods9(3) pp. 382​-392​.​ DOI: https://doi.org/10.1002/jrsm.1297 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations​
    Günhan, B. K. ; Friede, T.   & Held, L.​ (2018) 
    Research Synthesis Methods9(2) pp. 179​-194​.​ DOI: https://doi.org/10.1002/jrsm.1285 
    Details  DOI  PMID  PMC 
  • 2017 Journal Article | 
    ​ ​Meta-analysis of few small studies in orphan diseases​
    Friede, T.; Roever, C. ; Wandel, S. & Neuenschwander, B.​ (2017) 
    Research Synthesis Methods8(1) pp. 79​-91​.​ DOI: https://doi.org/10.1002/jrsm.1217 
    Details  DOI  PMID  PMC  WoS 
  • 2015 Journal Article
    ​ ​Finding your way out of the forest without a trail of bread crumbs: development and evaluation of two novel displays of forest plots​
    Schild, A. H. E. & Voracek, M.​ (2015) 
    Research Synthesis Methods6(1) pp. 74​-86​.​ DOI: https://doi.org/10.1002/jrsm.1125 
    Details  DOI  PMID  PMC  WoS 
  • 2014 Journal Article | Research Paper
    ​ ​Methodological approaches in conducting overviews: current state in HTA agencies​
    Pieper, D.; Antoine, S.-L.; Morfeld, J.-C.; Mathes, T.   & Eikermann, M.​ (2014) 
    Research Synthesis Methods5(3) pp. 187​-199​.​ DOI: https://doi.org/10.1002/jrsm.1107 
    Details  DOI  PMID  PMC 

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