A Visualization of Cross-Over Data Using Linear Functions

Details

• Personal Author:
  Miller, William E.
• Description:
  Previous work has shown that cross-over trial data can be analyzed using within-subject linear functions. Scores that result from linear functions are graphed in quantile comparison plots in order to visualize the differences between factor levels. An example suggests how this visualization can be used to identify outliers or to provide a more specific interpretation of results. Additional examples indicate how this approach can be used to track carry-over differences or interaction effects. This article is a U.S. Government work and is in the public domain in the United States. [Description provided by NIOSH]
• Subjects:
  Occupational Health Respiratory Function Tests Safety
• Keywords:
  Data-processing Medical-research Pharmacology Pulmonary-function-tests Statistical-analysis Visual-images
• ISSN:
  0277-6715
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DRDS - Division of Respiratory Disease Studies
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  18
• Issue:
  8
• NIOSHTIC Number:
  nn:20000894
• Citation:
  Stat Med 1999 Apr; 18(8):975-987
• Contact Point Address:
  William E. Miller, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, 1095 Willowdale Rd. Morgantown, WV 26505-2888, USA
• Email:
  wem0@cdc.gov
• Federal Fiscal Year:
  1999
• Peer Reviewed:
  True
• Source Full Name:
  Statistics in Medicine
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:79cae8a74d5c263c58f8c935a5258112e8a32fbc1cb29e6812d7fda16dbe5afb140996c0b08c3f25a45696d2be8cccb68ebd248a6c20c4941e0ac9a517968e8d
• Download URL:
  https://stacks.cdc.gov/view/cdc/198240/cdc_198240_DS1.pdf
• File Type:
  [PDF - 112.00 KB ]