Chris Halpin1, Steven D Rauch. 1. Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts 02114, USA. cfhalpin@meei.harvard.edu
Abstract
OBJECTIVES: First, to examine a possible limit on significant results imposed by a progressive floor effect for hearing threshold improvement in a treatment study. This floor effect for hearing recovery suggests that if inclusion criteria are not set sufficiently high, the superiority of a treatment group may not be detectable. Second, to examine the outcomes when using two different types of criteria for significant change in a subject's word recognition score. METHODS: Several single-number criteria (e.g., 15 percentage points) are compared with the 95% (p=0.05) criteria from the binomial critical difference table for monosyllables. Critical differences for binomial variables change depending on whether the starting value lies in the middle (near 50% correct) or at either extreme of the range of scores (0 or 100%). Different judgments of significant word recognition improvement (or decrease) using binomial versus single-value criteria are presented. DATA SOURCE: A recent treatment study of sudden sensorineural hearing loss (n=318) is used to illustrate these effects. CONCLUSION: First, there is a progressive floor effect of presenting severity that co-varies with the outcome measure hearing threshold recovery. In some designs, this may act to constrain the ability to detect a significant difference. Second, in the example data set, the use of single-value criteria for significant within-subject change in word recognition (e.g., 15 percentage points) introduced a miscategorization error rate of approximately 9% when compared with the result of the binomial 95% critical difference table.
OBJECTIVES: First, to examine a possible limit on significant results imposed by a progressive floor effect for hearing threshold improvement in a treatment study. This floor effect for hearing recovery suggests that if inclusion criteria are not set sufficiently high, the superiority of a treatment group may not be detectable. Second, to examine the outcomes when using two different types of criteria for significant change in a subject's word recognition score. METHODS: Several single-number criteria (e.g., 15 percentage points) are compared with the 95% (p=0.05) criteria from the binomial critical difference table for monosyllables. Critical differences for binomial variables change depending on whether the starting value lies in the middle (near 50% correct) or at either extreme of the range of scores (0 or 100%). Different judgments of significant word recognition improvement (or decrease) using binomial versus single-value criteria are presented. DATA SOURCE: A recent treatment study of sudden sensorineural hearing loss (n=318) is used to illustrate these effects. CONCLUSION: First, there is a progressive floor effect of presenting severity that co-varies with the outcome measure hearing threshold recovery. In some designs, this may act to constrain the ability to detect a significant difference. Second, in the example data set, the use of single-value criteria for significant within-subject change in word recognition (e.g., 15 percentage points) introduced a miscategorization error rate of approximately 9% when compared with the result of the binomial 95% critical difference table.
Authors: Jaishri O Blakeley; D Gareth Evans; John Adler; Derald Brackmann; Ruihong Chen; Rosalie E Ferner; C Oliver Hanemann; Gordon Harris; Susan M Huson; Abraham Jacob; Michel Kalamarides; Matthias A Karajannis; Bruce R Korf; Victor-Felix Mautner; Andrea I McClatchey; Harry Miao; Scott R Plotkin; William Slattery; Anat O Stemmer-Rachamimov; D Bradley Welling; Patrick Y Wen; Brigitte Widemann; Kim Hunter-Schaedle; Marco Giovannini Journal: Am J Med Genet A Date: 2011-12-02 Impact factor: 2.802
Authors: Chris Halpin; Helen Shi; Domenic Reda; Patrick J Antonelli; Seilesh Babu; John P Carey; Bruce J Gantz; Joel A Goebel; Paul E Hammerschlag; Jeffrey P Harris; Brandon Isaacson; Daniel Lee; Chris J Linstrom; Lorne S Parnes; William H Slattery; Steven A Telian; Jeffrey T Vrabec; Steven Rauch Journal: Otol Neurotol Date: 2012-08 Impact factor: 2.311
Authors: Scott R Plotkin; Chris Halpin; Michael J McKenna; Jay S Loeffler; Tracy T Batchelor; Fred G Barker Journal: Otol Neurotol Date: 2010-09 Impact factor: 2.311
Authors: Alicia M Quesnel; Margaret Seton; Saumil N Merchant; Christopher Halpin; Michael J McKenna Journal: Otol Neurotol Date: 2012-10 Impact factor: 2.311
Authors: Matthias A Karajannis; Geneviève Legault; Mari Hagiwara; Filippo G Giancotti; Alexander Filatov; Anna Derman; Tsivia Hochman; Judith D Goldberg; Emilio Vega; Jeffrey H Wisoff; John G Golfinos; Amanda Merkelson; J Thomas Roland; Jeffrey C Allen Journal: Neuro Oncol Date: 2013-12-04 Impact factor: 12.300
Authors: Jaishri O Blakeley; Xiaobu Ye; Dan G Duda; Chris F Halpin; Amanda L Bergner; Alona Muzikansky; Vanessa L Merker; Elizabeth R Gerstner; Laura M Fayad; Shivani Ahlawat; Michael A Jacobs; Rakesh K Jain; Christopher Zalewski; Eva Dombi; Brigitte C Widemann; Scott R Plotkin Journal: J Clin Oncol Date: 2016-03-14 Impact factor: 44.544
Authors: Scott R Plotkin; Chris Halpin; Jaishri O Blakeley; William H Slattery; D Bradley Welling; Susan M Chang; Jay S Loeffler; Gordon J Harris; A Gregory Sorensen; Michael J McKenna; Fred G Barker Journal: J Neurooncol Date: 2009-05-09 Impact factor: 4.130
Authors: Scott R Plotkin; Anat O Stemmer-Rachamimov; Fred G Barker; Chris Halpin; Timothy P Padera; Alex Tyrrell; A Gregory Sorensen; Rakesh K Jain; Emmanuelle di Tomaso Journal: N Engl J Med Date: 2009-07-08 Impact factor: 91.245