New statistical methods: their role in health promotion research and evaluation practice - Part II
Roberto Forero, Jack Chen, Chris Rissel and Adrian Bauman
Health Promotion Journal of Australia
13(3) 242 - 246
Published: 01 December 2002
Abstract
Issue addressed: This second paper continues to explore advanced statistical methods and their application in health promotion research and evaluation of intervention programs; in particular, the application of multiple linear regression; Cox regression models; logistic regression (binary, multinomial and ordinal regression) and structural equation modelling is reviewed.https://doi.org/10.1071/HE02242
© Australian Health Promotion Association 2002