Abstract
Logistic regression is a technique similar to multiple regression with the new feature that the predicted response is a probability.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
B.W. Brown Jr., Prediction analyses for binary data, in Biostatistics Casebook, ed. by R.G. Miller Jr., B. Efron, B.W. Brown Jr., L.E. Moses (Wiley, New York, 1980)
D.R. Collett, Modelling Binary Data (Chapman & Hall, London, 1991)
Cytel Software Corporation, Logxact Statistical Software: Release 5 (2004). URL: http://www.cytel.com/LogXact/logxact_brochure.pdf
S.R. Dalal, E.B. Fowlkes, B. Hoadley, Risk analysis of the space shuttle: pre-challenger prediction of failure. J. Am. Stat. Assoc. 84, 945–957 (1989)
D.J. Hand, F. Daly, A.D. Lunn, K.J. McConway, E. Ostrowski, A Handbook of Small Data Sets (Chapman and Hall, London, 1994)
J.E. Higgens, G.G. Koch, Variable selection and generalized chi-square analysis of categorical data applied to a large cross-sectional occupational health survey. Int. Stat. Rev. 45, 51–62 (1977)
D.W. Hosmer, S. Lemeshow, Applied Logistic Regression, 2nd edn. (Wiley, New York, 2000)
M. Lavine, Problems in extrapolation illustrated with space shuttle o-ring data. J. Am. Stat. Assoc. 86, 919–921 (1991)
E.T. Lee, Statistical Methods for Survival Data Analysis (Lifetime Learning Publications, Belmont, 1980)
P. McCullagh, J.A. Nelder, Generalized Linear Models (Chapman and Hall, London, 1983)
C.R. Mehta, N.R. Patel, P. Senchaudhuri, Efficient Monte Carlo methods for conditional logistic regression. J. Am. Stat. Assoc. 95(449), 99–108 (2000)
W.M. Mendenhall, J.T. Parsons, S.P. Stringer, N.J. Cassissi, R.R. Million, T2 oral tongue carcinoma treated with radiotherapy: analysis of local control and complications. Radiother. Oncol. 16, 275–282 (1989)
J.D. Murray, G. Dunn, P. Williams, A. Tarnopolsky, Factors affecting the consumption of psychotropic drugs. Psychol. Med. 11, 551–560 (1981)
W.N. Venables, B.D. Ripley, Modern Applied Statistics with S-PLUS, 2nd edn. (Springer, New York, 1997)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this chapter
Cite this chapter
Heiberger, R.M., Holland, B. (2015). Logistic Regression. In: Statistical Analysis and Data Display. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2122-5_17
Download citation
DOI: https://doi.org/10.1007/978-1-4939-2122-5_17
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-2121-8
Online ISBN: 978-1-4939-2122-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)