Generalized Linear Models

  • Eric Vittinghoff
  • David V. Glidden
  • Stephen C. Shiboski
  • Charles E. McCulloch
Chapter
Part of the Statistics for Biology and Health book series (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.

Keywords

Placebo Depression Osteoporosis Brittle Syringe 

References

  1. 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.CrossRefGoogle Scholar
  2. Bradu, D. and Mundlak, Y. (1970). Estimation in lognormal linear models. Journal of the American Statistical Association, 65, 198–211.CrossRefGoogle Scholar
  3. Goldberger, A. S. (1968). The interpretation and estimation of Cobb-Douglas functions. Econometrica, 36, 464–472.MathSciNetMATHCrossRefGoogle Scholar
  4. Lachenbruch, P. A. (2002). Analysis of data with excess zeros. Statistical Methods in Medical Research, 11, 297–302.MATHCrossRefGoogle Scholar
  5. Merwin, E., Stern, S., Jordan, L. M. and Bucci, M. (2009). New estimates for crna vacancies. AANA Journal, 77, 121–129.Google Scholar
  6. Vittinghoff, E., Sen, S. and McCulloch, C. E. (2009). Sample size calculations for evaluating mediation. Statistics in Medicine, 28(4), 1623–1634.MathSciNetCrossRefGoogle Scholar
  7. Dobson, A. J. (2001). An Introduction to Generalized Linear Models. Chapman & Hall Ltd, London, 2nd ed.Google Scholar
  8. McCullagh, P. and Nelder, J. A. (1989). Generalized linear models. Chapman & Hall Ltd, New York, 2nd ed.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Eric Vittinghoff
    • 1
  • David V. Glidden
    • 1
  • Stephen C. Shiboski
    • 1
  • Charles E. McCulloch
    • 2
  1. 1.Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoUSA
  2. 2.Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoUSA

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