Thank you for your response. I went through your article and carried out quantile regression. My dependent variable is continuous and measured as total length of stay in hospital in days. Independent variable is body temperature divided into five categorical groups. The image of the table is above. I am little confused about how to interpret the result. The 95% CI for the parameter estimates is not significant for the ed_tempc group 4, but p value is <0.0001. How do I interpret this? I chose the quantile as median. Also, looking at the result, can I say that: As compared to group 5 of ed_tempc (which is a reference group), the median length of stay for group 1 is 3 days more (95% CI 2.03-3.96). Am I interpreting it right???
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