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Comment
. 2017 Nov;5(21):439.
doi: 10.21037/atm.2017.09.31.

Challenges to interpreting patient reported outcomes in clinical trials: author rejoinder

Melanie L Bell  1
Affiliations
Comment

Challenges to interpreting patient reported outcomes in clinical trials: author rejoinder

Melanie L Bell. Ann Transl Med. 2017 Nov.
No abstract available

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Conflict of interest statement

Conflicts of Interest: The author has no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Results from a RCT of 242 cancer survivors to test a web-based brain training program for reducing self-reported cognitive impairment. The difference between arms as a percentage of each of the PRO scales is shown, along with the unstandardized differences. RCT, randomized controlled trial; PRO, patient reported outcome.
See this image and copyright information in PMC

Comment on

References

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    1. Bell ML, Fiero MH, Dhillon HM, et al. Statistical controversies in cancer research: using standardized effect size graphs to enhance interpretability of cancer-related clinical trials with patient-reported outcomes. Ann Oncol 2017;28:1730-3. 10.1093/annonc/mdx064 - DOI - PMC - PubMed
    1. Cohen J. Statistical Power Analysis for the Behavioral Sciences (2nd Edition). Hillsdale, NJ: Lawrence Earlbaum Associates, 1988.
    1. Revicki D, Hays RD, Cella D, et al. Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. J Clin Epidemiol 2008;61:102-9. 10.1016/j.jclinepi.2007.03.012 - DOI - PubMed
    1. Olivier J, Bell ML. Effect sizes for 2×2 contingency tables. PLoS One 2013;8:e58777. 10.1371/journal.pone.0058777 - DOI - PMC - PubMed

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