Stepwise Nonparametric Multiple Comparisons in Randomized Complete Block Designs

Details

• Personal Author:
  Bena J ; Groggel D ; Skillings J
• Description:
  Many commonly used nonparametric multiple comparison procedures have poor power for pairwise comparisons involving treatments whose effects are near the middle of an increasing ordered set. Pairwise all-subset procedures are compared to procedures using joint ranks and pairwise ranks in a Monte Carlo study. Tha pairwise all-subset procedures often show higher power while still controlling the experimentwise error rate at the desired level. [Description provided by NIOSH]
• Subjects:
  Occupational Health Safety
• Keywords:
  Control-methods Mathematical-models Statistical-analysis
• Publisher:
  American Statistical Association
• Document Type:
  Text
• Genre:
  Abstract or Summary ; Proceedings
• Place as Subject:
  Ohio ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  EID - Education and Information Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• NIOSHTIC Number:
  nn:20030475
• Citation:
  Joint Statistical Meetings, August 5, 2001, Atlanta, Georgia. Alexandria, VA: American Statistical Association, 2000 Aug; :300761
• Federal Fiscal Year:
  2001
• Peer Reviewed:
  False
• Source Full Name:
  Joint Statistical Meetings, August 5, 2001, Atlanta, Georgia
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:bd67120388468676ccbc12be1d03e567a5a4dff520f944090a0187947e51178fb463197e2403f156fb1fd2049f0247f46a0a06bf54c2c754c5c5040d5f8f2c4d
• Download URL:
  https://stacks.cdc.gov/view/cdc/191069/cdc_191069_DS1.pdf
• File Type:
  [PDF - 96.23 KB ]