Entering the era of "big Data": Getting our metrics right

Sleep

Volumn 36, Issue 4, 2013, Pages 465-469

  Redline, Susan ^a   Dean III, Dennis ^a   Sanders, Mark H ^b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DISEASE CLASSIFICATION; ELECTRONIC MEDICAL RECORD; EPIGENETICS; HUMAN; POLYSOMNOGRAPHY; PRIORITY JOURNAL; REVIEW; SCORING SYSTEM; SLEEP;

DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; POLYSOMNOGRAPHY; SLEEP APNEA SYNDROMES;

EID: 84875697103     PISSN: 01618105     EISSN: 15509109     Source Type: Journal    
DOI: 10.5665/sleep.2524     Document Type: Review

References (20)

1. Francis Collins, PhD, Director, National Institutes Health: http:// nihrecord.od.nih.gov/newsletters/2013/02-01-2013/story5.htm
2. Luyster FS, Strollo PJ Jr., Zee PC, Walsh JK. Sleep: A health imperative. Sleep 2012;35:727-34.
3. Magalang UJ, Chen NH, Cistulli PA, et al. Agreement in the scoring of respiratory events and sleep among international sleep centers. Sleep 2013;36:591-6.
4. Kuna ST, Benca R, Kushida CA, et al. Agreement in computer-assisted manual scoring of polysomnograms across sleep centers. Sleep 2013;36:583-9.
5. Malhotra A, Younes M, Kuna ST, et al. Performance of an automated polysomnography scoring system versus computer-assisted manual scoring. Sleep 2013;36:573-82.
6. Foley DJ, Masaki K, White L, Larkin EK, Monjan A, Redline S. Sleepdisordered breathing and cognitive impairment in elderly Japanese-American men. Sleep 2003;26:596-9.
7. Mehra R, Stone KL, Blackwell T, et al. Prevalence and correlates of sleepdisordered breathing in older men: the MrOS Sleep Study. J Am Gerontol Soc 2007;55:1356-64.
8. Redline S, Aylor J, Clark K, Graham G, Richardson S. Predictors of longitudinal change in the respiratory disturbance index. Am Resp Crit Care Med 1998;157:61.
9. Redline S, Sanders MH, Lind BK, et al. Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group. Sleep 1998;21:759-67.
10. Sorlie PD, Aviles-Santa LM, Wassertheil-Smoller S, et al. Design and implementation of the Hispanic Community Health Study/Study of Latinos. Ann Epidemiol 2010;20:629-41.
11. Yaffe K, Laffan AM, Harrison SL, et al. Sleep-disordered breathing, hypoxia, and risk of mild cognitive impairment and dementia in older women. JAMA 2011;306:613-9.
12. Redline S, Amin R, Beebe D, et al. The Childhood Adenotonsillectomy Trial (CHAT): rationale, design, and challenges of a randomized controlled trial evaluating a standard surgical procedure in a pediatric population. Sleep 2011;34:1509-17.
13. Rosenberg RS, Van Hout S. The American Academy of Sleep Medicine inter-scorer reliability program: sleep stage scoring. J Clin Sleep Med 2013;9:81-7.
14. Penzel T, Zhang X, Fietze I. Inter-scorer reliability between sleep centers can teach us what to improve in the scoring rules. J Clin Sleep Med 2013;9:89-91.
15. Redline S, Budhiraja R, Kapur V, et al. Reliability and validity of respiratory event measurement and scoring. J Clin Sleep Med 2007;3:169-200.
16. Silber MH, Ancoli-Israel S, Bonnet MH, et al. The visual scoring of sleep in adults. J Clin Sleep Med 2007;3:121-31.
17. Whitney CW, Gottlieb DJ, Redline S, et al. Reliability of scoring respiratory disturbance indices and sleep staging. Sleep 1998;21:749-58.
18. Flemons WW, Buysse D, Redline S, et al. Sleep-related breathing disorders in adults: Recommendations for syndrome definition and measurement techniques in clinical research: The report of an American Academy of Sleep Medicine Task Force. Sleep 1999;22:533-70.
19. Fung MM, Peters K, Redline S, et al. Decreased slow wave sleep increases risk of developing hypertension in elderly men. Hypertension 2011;58:596-603.
20. Charles EP. The correction for attenuation due to measurement error: clarifying concepts and creating confidence sets. Psychol Methods 2005;10:206-26.