Relative Mortality for Correlated Lifetime Data

Details

• Personal Author:
  Kapadia A ; Song JX ; Wassell, James T.
• Description:
  Comparing correlated lifetimes for a group of individuals to a standard reference population may require variance adjustment of marginal model estimates or the use of conditional random effects models with shared frailty. We present the cumulative relative mortality, the marginal model robust variance estimator and the frailty models in estimating relative mortality for individuals who have correlated lifetimes due to group clustering. The positive stable and gamma frailty distributions are considered in the frailty models. The performances of both marginal and frailty models are compared using simulation. Applying these methods, we show siblings for centenarians had longer life spans than their US cohort reference population. [Description provided by NIOSH]
• Subjects:
  Explosions Explosive Agents Mining Occupational Health Safety
• Keywords:
  Author Keywords: Correlated Survival Data Computer-models Cumulative Relative Mortality Data-processing Epidemiology Frailty Model Lifespan Marginal Survival Mode Mathematical-models Mortality-data Risk-analysis Risk-factors Robust Variance Estimator Statistical-analysis Survival-rate Taylor Linearization

  More +
• ISSN:
  0167-9473
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Connecticut ; OSHA Region 1 ; OSHA Region 3 ; OSHA Region 6 ; Texas ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DSR - Division of Safety Research
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  45
• Issue:
  4
• NIOSHTIC Number:
  nn:20024695
• Citation:
  Comput Stat Data Anal 2004 May; 45(4):849-864
• Contact Point Address:
  James X. Song, Bayer Pharmaceuticals Corporation, Department of Biometry, 400 Morgan Lane, West Haven, CT 06516
• Email:
  james.song.b@bayer.com
• Federal Fiscal Year:
  2004
• NORA Priority Area:
  Construction
• Peer Reviewed:
  True
• Source Full Name:
  Computational Statistics & Data Analysis
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:0bd9e0db97d792dbda5274ef69ab3583e0ef443a5768435d8aeb3ffdd5af7c4237b7072980f921df4f94d0af0364bbbead884d5d6adc33b09512238373c287c3
• Download URL:
  https://stacks.cdc.gov/view/cdc/196359/cdc_196359_DS1.pdf
• File Type:
  [PDF - 390.32 KB ]