Flygare2022 - Empirically defining treatment response and remission in obsessive-compulsive disorder using the Obsessive-Compulsive Inventory-Revised

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Key takeaways

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46.04 - Response to reviewer comments

  • Hoarding subscale, OCI-12
    • Yea would have been prefereable, but we will most likely not have access to item-level or subscale-level data from all trials. If anything this should mean that we underestimate the accuracy of the full OCI-R and that similar evaluations using the OCI-12 will have higher accuracy.
  • ROC-concepts
    • sens/spec
      • This is with the “true” values as vantage point. How many true cases will we identify (sensitivity) and how many true non-cases will we exclude (specificity)?
    • PPV/NPV
      • This is with our prediction as vantage point. When we say that there is a case, how many times is that prediction correct (PPV), when we say that there is no-case how often is that prediction correct (NPV)?
    • Accuracy/Cohen’s kappa/AUC
      • Accuracy is the proportion of correct classifications
      • Cohen’s kappa ranges 0-1, where 0 is not better than what would have occured by chance, and 1 is perfect agreement. Kappa is higher if there are multiple available categories, so our binary classifications likely does not overstate the predictive power at least.
      •  0–0.20 as slight, 0.21–0.40 as fair, 0.41–0.60 as moderate, 0.61–0.80 as substantial, and 0.81–1 as almost perfect agreement (Landis & Koch cut-offs)