Bibliography

  • The rise of cross-national survey data harmonization in the social sciences: emergence of an interdisciplinary methodological field
    Dubrow JK, Tomescu-Dubrow I
    Qual Quant 2016; 50: 1449–67
  • Maelstrom Research guidelines for rigorous retrospective data harmonization.
    Fortier I, Raina P, Van den Heuvel ER, et al.
    Int J Epidemiol 2017; 46: 103–5
  • DataSHIELD: taking the analysis to the data, not the data to the analysis.
    Gaye A, Marcon Y, Isaeva J, et al.
    Int J Epidemiol 2014; 43: 1929–44
  • Data Harmonization. Guidelines for Best Practice in Cross-Cultural Surveys.
    Granda P, Blasczyk E. (2016).
    Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan. Retrieved March 3rd 2020, from http://www.ccsg.isr.umich.edu/
  • Statistical approaches to harmonize data on cognitive measures in systematic reviews are rarely reported.
    Griffith LE, Van Den Heuvel E, Fortier I, et al.
    J Clin Epidemiol 2015; 68: 154–62
  • Collaborative, pooled and harmonized study designs for epidemiologic research: challenges and opportunities.
    Lesko CR, Jacobson LP, Althoff KN, et al.
    Int J Epidemiol 2018; 47: 654–68
  • Latent variable models for harmonization of test scores: A case study on memory.
    van den Heuvel ER, Griffith LE, Sohel N, Fortier I, Muniz-Terrera G, Raina P
    Biometrical J 2020; 62: 34–52