Skip to main content

Generalized Linear Models

  • Chapter
  • First Online:
Regression Methods in Biostatistics

Part of the book series: Statistics for Biology and Health ((SBH))

Abstract

A new program for depression is instituted in the hopes of reducing the number of visits each patient makes to the emergency room in the year following treatment. Predictors include (among many others) treatment (yes/no), race, and drug and alcohol usage indices. A common and minimally invasive treatment for jaundice in newborns is exposure to light. Yet the cost of this is high, mainly because of longer hospital stays, which are expensive. Predictors of the cost include race, gestational age, and birthweight.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
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

  • Black, D., Cummings, S., Karpf, D., Cauley, J., Thompson, D., Nevitt, M., Bauer, D., Genant, H., Haskell, W., Marcus, R. et al. (1996b). Randomised trial of effect of alendronate on risk of fracture in women with existing vertebral fractures. The Lancet, 348(9041), 1535–1541.

    Article  Google Scholar 

  • Bradu, D. and Mundlak, Y. (1970). Estimation in lognormal linear models. Journal of the American Statistical Association, 65, 198–211.

    Article  Google Scholar 

  • Goldberger, A. S. (1968). The interpretation and estimation of Cobb-Douglas functions. Econometrica, 36, 464–472.

    Article  MathSciNet  MATH  Google Scholar 

  • Lachenbruch, P. A. (2002). Analysis of data with excess zeros. Statistical Methods in Medical Research, 11, 297–302.

    Article  MATH  Google Scholar 

  • Merwin, E., Stern, S., Jordan, L. M. and Bucci, M. (2009). New estimates for crna vacancies. AANA Journal, 77, 121–129.

    Google Scholar 

  • Vittinghoff, E., Sen, S. and McCulloch, C. E. (2009). Sample size calculations for evaluating mediation. Statistics in Medicine, 28(4), 1623–1634.

    Article  MathSciNet  Google Scholar 

  • Dobson, A. J. (2001). An Introduction to Generalized Linear Models. Chapman & Hall Ltd, London, 2nd ed.

    Google Scholar 

  • McCullagh, P. and Nelder, J. A. (1989). Generalized linear models. Chapman & Hall Ltd, New York, 2nd ed.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Vittinghoff, E., Glidden, D.V., Shiboski, S.C., McCulloch, C.E. (2012). Generalized Linear Models. In: Regression Methods in Biostatistics. Statistics for Biology and Health. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1353-0_8

Download citation

Publish with us

Policies and ethics