Statistical Modeling of Sleep

Details

• Personal Author:
  Andrew, Michael E. ; Burchfiel CM ; Mnatsakanova A ; Slaven, James E. ; Vila BJ ; Violanti JM
• Description:
  As a consequence of this work, we expect to be able to analyze the actigraphy data of the BCOPS study with more accuracy and with more tools to find differences not only in sleep quality, but also in the corresponding disease association analyses. Using the K-statistic makes determining the quality of data sets easier and faster, as opposed to manually viewing each data set. SEM is capable of reducing the set of possible variables by grouping them and allowing investigators to select the ones best suited for that particular study. Nonlinear analysis, waiting time distributions, and the ability to use many nonstandard variables give research investigators more tools to identify differences in participants' sleep quality and in study populations. They also give researchers the ability to conduct more in-depth statistical and mathematical analysis. Ultimately, our work should help make wrist actigraphy more accurate and less expensive for research investigators and physicians who study and treat the millions of workers around the United States who suffer from sleep disorders. [Description provided by NIOSH]
• Subjects:
  Occupational Health Safety Sleep Sleep Initiation And Maintenance Disorders
• Keywords:
  Mathematical-models Sleep-deprivation Sleep-disorders Statistical-analysis
• ISSN:
  0933-2480
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  New York ; OSHA Region 10 ; OSHA Region 2 ; OSHA Region 3 ; Washington ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  16-21
• Volume:
  22
• Issue:
  1
• NIOSHTIC Number:
  nn:20035409
• Citation:
  Chance 2009 Winter; 22(1):16-21
• Federal Fiscal Year:
  2009
• NORA Priority Area:
  Services ; Public Safety
• Peer Reviewed:
  True
• Source Full Name:
  Chance
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:2d31162f2527cfdf5a78a79a0d2620d31affa74256badce9c9c8fb6ea7c720e4f65cab9d0422a3ea0c6fb4a56461ca0e8d614b4b36f25aca4876bcd5e85cf7ce
• Download URL:
  https://stacks.cdc.gov/view/cdc/187274/cdc_187274_DS1.pdf
• File Type:
  [PDF - 2.42 MB ]