Interpretation of research data: regression analysis
- PMID: 7211887
Interpretation of research data: regression analysis
Abstract
The types of problems that can be analyzed with regression analysis, and interpretation of the resulting summary statistics, are discussed. Linear and multiple regression models, regression coefficients are described. Regression analysis can answer questions about the existence and strength of relationships and the relative importance of independent variables, and can forecast the outcome from changes in the values of independent variables. Multivariate regression analysis can detect the contribution of each of several independent variables on the dependent variable.
Similar articles
-
Quantile regression and restricted cubic splines are useful for exploring relationships between continuous variables.J Clin Epidemiol. 2009 May;62(5):511-7.e1. doi: 10.1016/j.jclinepi.2008.05.015. Epub 2009 Jan 9. J Clin Epidemiol. 2009. PMID: 19135859
-
A comparison of methods to handle skew distributed cost variables in the analysis of the resource consumption in schizophrenia treatment.J Ment Health Policy Econ. 2002 Mar;5(1):21-31. J Ment Health Policy Econ. 2002. PMID: 12529567
-
Advanced statistics: linear regression, part I: simple linear regression.Acad Emerg Med. 2004 Jan;11(1):87-93. Acad Emerg Med. 2004. PMID: 14709436
-
[Logistic regression: a useful tool in rehabilitation research].Rehabilitation (Stuttg). 2008 Feb;47(1):56-62. doi: 10.1055/s-2007-992790. Rehabilitation (Stuttg). 2008. PMID: 18247272 Review. German.
-
Bayesian perspectives for epidemiological research. II. Regression analysis.Int J Epidemiol. 2007 Feb;36(1):195-202. doi: 10.1093/ije/dyl289. Epub 2007 Feb 28. Int J Epidemiol. 2007. PMID: 17329317 Review.