Semiparametric Analysis of Panel Count Data with Correlated Observation and Follow-Up Times

Details

• Personal Author:
  He X ; Sun J ; Tong X
• Description:
  This paper discusses regression analysis of panel count data that often arise in longitudinal studies concerning occurrence rates of certain recurrent events. Panel count data mean that each study subject is observed only at discrete time points rather than under continuous observation. Furthermore, both observation and follow-up times can vary from subject to subject and may be correlated with the recurrent events. For inference, we propose some shared frailty models and estimating equations are developed for estimation of regression parameters. The proposed estimates are consistent and have asymptotically a normal distribution. The finite sample properties of the proposed estimates are investigated through simulation and an illustrative example from a cancer study is provided. [Description provided by NIOSH]
• Subjects:
  Mortality Neoplasms Occupational Health Safety Workplace
• Keywords:
  Analytical-methods Analytical-models Analytical-processes Author Keywords: Estimating Equation Cancer-rates Exposure-levels Exposure-methods Mathematical-models Informative Follow-up Time Informative Observation Times Mean Function Model Mortality-surveys Regression Analysis Statistical-analysis Therapeutic-agents Treatment Workplace-studies

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• ISSN:
  1380-7870
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Missouri ; Ohio ; OSHA Region 5 ; OSHA Region 7
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  177-196
• Volume:
  15
• Issue:
  2
• NIOSHTIC Number:
  nn:20035645
• Citation:
  Lifetime Data Anal 2009 Jun; 15(2):177-196
• Contact Point Address:
  Xin He, Division of Biostatistics, College of Public Health, The Ohio State University, B-116 Starling-Loving Hall, 320 West 10th Avenue, Columbus, OH 43210
• Email:
  xhe@cph.osu.edu
• Federal Fiscal Year:
  2009
• NORA Priority Area:
  Transportation, Warehousing and Utilities
• Performing Organization:
  University of Maryland - College Park
• Peer Reviewed:
  True
• Start Date:
  20060901
• Source Full Name:
  Lifetime Data Analysis
• End Date:
  20090831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:01eecc6d98a5d2ad64304171570380f4317d5cd84577226b31fbf18e8f961e96827abddb67442c9edeeeea1fbb2e1700af4ffa80a7a897da0a2d4cceba1c9689
• Download URL:
  https://stacks.cdc.gov/view/cdc/187439/cdc_187439_DS1.pdf
• File Type:
  [PDF - 370.79 KB ]