Skip to main content
  • 3001 Accesses

Synonyms

Correlated data analysis; Growth curve modeling; Repeated measures analysis; Trajectory analysis

Definition

Longitudinal data analysis consists of the statistical tools and methods used to analyze data collected on the same group of individuals on multiple occasions over time.

Description

Longitudinal data, i.e., data collected on the same individuals over time, are commonly encountered in quality of life (QOL) research, because researchers are interested in how a disease or intervention affects an individual’s quality of life over time (Fairclough, 2005). Such studies generally measure the trajectory of QOL in patients with chronic or terminal diseases, in relation to their disease progression, to reveal whether different aspects of QOL become impaired over time (Swigris et al., 2005). They typically involve obtaining the same or similar assessment of QOL over time (e.g., every month) for a group of patients. Since repeated measurements assessed on the same individual over...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 6,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 9,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Breslow, N. E., & Clayton, D. G. (1993). Approximate inference in generalized linear mixed models. Journal of the American Statistical Association, 88(421), 9–25.

    Google Scholar 

  • Diggle, P., Heagerty, P., Liang, K. Y., & Zeger, S. (2002). Analysis of longitudinal data. USA: Oxford University Press.

    Google Scholar 

  • Fairclough, D. (2005). Analysing longitudinal studies of QoL. In P. Fayers & R. Hays (Eds.), Assessing quality of life in clinical trials: Methods and practice. USA: Oxford University Press.

    Google Scholar 

  • Guo, W., Ratcliffe, S. J., & Ten Have, T. T. (2004). A random pattern-mixture model for longitudinal data with dropouts. Journal of the American Statistical Association, 99(468), 929–937.

    Google Scholar 

  • Liang, K. Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73, 13–22.

    Google Scholar 

  • Neuhaus, J. M. (1992). Statistical methods for longitudinal and clustered designs with binary responses. Statistical Methods in Medical Research, 1, 249–273.

    Google Scholar 

  • Royall, R. M. (1986). Model robust confidence intervals using maximum likelihood estimation. International Statistical Review, 54, 221–226.

    Google Scholar 

  • Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.

    Google Scholar 

  • Stiratelli, R., Laird, N., & Ware, J. H. (1984). Random effects models for serial observations with binary response. Biometrics, 40, 961–971.

    Google Scholar 

  • Swigris, J. J., Gould, M. K., & Wilson, S. R. (2005). Health-related quality of life among patients with idiopathic pulmonary fibrosis. Chest, 127(1), 284–294.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abhik Das .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this entry

Cite this entry

Das, A. (2014). Longitudinal Data Analysis. In: Michalos, A.C. (eds) Encyclopedia of Quality of Life and Well-Being Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0753-5_1698

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-0753-5_1698

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-0752-8

  • Online ISBN: 978-94-007-0753-5

  • eBook Packages: Humanities, Social Sciences and Law

Publish with us

Policies and ethics