Corpus ID: 211066135

Meta-Analysis of Generalized Additive Models in Neuroimaging Studies

@article{Sorensen2020MetaAnalysisOG,
  title={Meta-Analysis of Generalized Additive Models in Neuroimaging Studies},
  author={O. Sorensen and A. Brandmaier and D. M. Bros and Klaus P. Ebmeier and Paolo Ghisletta and R. Kievit and A. M. Mowinckel and K. Walhovd and R. Westerhausen and A. Fjell},
  journal={arXiv: Applications},
  year={2020}
}
  • O. Sorensen, A. Brandmaier, +7 authors A. Fjell
  • Published 2020
  • Mathematics
  • arXiv: Applications
  • Analyzing data from multiple neuroimaging studies has great potential in terms of increasing statistical power, enabling detection of effects of smaller magnitude than would be possible when analyzing each study separately and also allowing to systematically investigate between-study differences. Restrictions due to privacy or proprietary data as well as more practical concerns can make it hard to share neuroimaging datasets, such that analyzing all data in a common location might be… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 88 REFERENCES
    A new strategy for meta-analysis of continuous covariates in observational studies.
    30
    Multivariate meta-analysis for non-linear and other multi-parameter associations
    268
    Meta-analysis of multiple outcomes by regression with random effects.
    221
    A Pointwise Approach to Dose-Response Meta-Analysis of Aggregated Data
    2