An Evaluation of Multiple Behavioral Risk Factors for Cancer in a Working Class, Multi-Ethnic Population

10.6339/JDS.2006.04(3).267

Melody S. Goodman；Yi Li；Gary G. Bennett；Anne M. Stoddard；Karen M. Emmons

Community based research ； conditional logistic regression ； multiple risk factors ； random effects

Journal of Data Science

4卷3期（2006 / 07 / 01）

291 - 306

英文

Behavioral risk factors for cancer tend to cluster within individuals, which can compound risk beyond that associated with the individual risk factors alone. There has been increasing attention paid to the prevalence of multiple risk factors (MRF) for cancer, and to the importance of designing interventions that help individuals reduce their risks across multiple behaviors simultaneously. The purpose of this paper is to develop methodology to identify an optimal linear combination of multiple risk factors (score function) which would facilitate evaluation of cancer interventions.