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Understanding the Predictors of Missing Location Data to Inform Smartphone Study Design: Observational Study.

Anna L BeukenhorstJamie C SergeantDavid M SchultzJohn McBethBelay Birlie YimerWilliam Gregory Dixon
Published in: JMIR mHealth and uHealth (2021)
The predictors of missing location data reported in our study could inform app settings and user instructions for future smartphone (observational and interventional) studies. These predictors have implications for analysis methods to deal with missing location data, such as imputation of missing values or case-only analysis. Health studies using smartphones for data collection should assess context-specific consequences of high missing data, especially among iPhone users, during the night and for disengaged participants.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • public health
  • mental health
  • data analysis
  • cross sectional
  • current status