many_analyses

list of similar papers: https://docs.google.com/document/d/12XlCX0UWKLH1RJ9NsSciWxXn4DD0oh4slqd_TmKjp0A/edit

  • Bastiaansen et al., 2019 Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology
  • Boehm et al., 2018 Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations
  • Botvinik-Nezer et al., 2020 Variability in the analysis of a single neuroimaging dataset by many teams
  • Breznau et al., 2020 The Crowdsourced Replication Initiative: Investigating Immigration and Social Policy Preferences
  • Dulith et al., 2019 The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models Functional Imaging Analysis Contest 2006
  • Fillard 2011 Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom
  • Maier-Hein 2017 The challenge of mapping the human connectome based on diffusion tractography
  • Salganik et al., 2020 Measuring the predictability of life outcomes with a scientific mass collaboration
  • Schweinsberg et al., 2020 Radical dispersion in estimates when independent scientists operationalize and test the same hypothesis with the same data
  • Silberzahn et al., 2018 Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results
  • Starns et al., 2019 Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis
  • van Dongen et al., 2019 Multiple Perspectives on Inference for Two Simple Statistical Scenarios

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