Statistics review 14: Logistic regression.

@article{citeulike:1556034, abstract = {This review introduces logistic regression, which is a method for modelling the dependence of a binary response variable on one or more explanatory variables. Continuous and categorical explanatory variables are considered.}, address = {School of Computing, Mathematical and Information Sciences, University of Brighton, Brighton, UK. v.bewick@brighton.ac.uk}, author = {Bewick, V. and Cheek, L. and Ball, J. }, citeulike-article-id = {1556034}, doi = {10.1186/cc3045}, issn = {1466-609X}, journal = {Crit Care}, keywords = {statistics}, month = {February}, number = {1}, pages = {112--118}, posted-at = {2008-05-09 03:23:45}, priority = {2}, title = {Statistics review 14: Logistic regression.}, url = {http://dx.doi.org/10.1186/cc3045}, volume = {9}, year = {2005} }

TY - JOUR ID - citeulike:1556034 L3 - citeulike-article-id:1556034 TI - Statistics review 14: Logistic regression. JF - Crit Care VL - 9 IS - 1 SP - 112 EP - 118 AD - School of Computing, Mathematical and Information Sciences, University of Brighton, Brighton, UK. v.bewick@brighton.ac.uk SN - 1466-609X N2 - This review introduces logistic regression, which is a method for modelling the dependence of a binary response variable on one or more explanatory variables. Continuous and categorical explanatory variables are considered. KW - statistics AU - Bewick, V AU - Cheek, L AU - Ball, J PY - 2005/02// UR - http://dx.doi.org/10.1186/cc3045 ER -