I'm trying to understand the impact of waiting time at intersection on pedestrian signal violation behaviour. I have two variables, one is gender and other is age. I used a chi-square test of independence and observed gender and age, both are significantly associated with crossing behaviour (waited/violated). But when I fit a survival analysis model both with COX and Accelerated Failure Time, the gender and age both comes out to be insignificant @5% label.
I'm not able to understand if there is a relationship between gender and age with signal violation behaviour, then why the aggregate survival model estimates for gender and age are insignificant?
Any suggestion on these results will be appreciated.
0 Response to Need help on clarification why chi-square test shows significant relationship but Survival analysis shows no significant influence.
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