I am working on disease infection data, and I am puzzled on whether to handle the data as "categorical" or "continuous".
- "Infection Count"
- the number of infection cases found in a specific period of time, the count is generated from categorical data (i.e. no. of patient tagged as "infected")
"Patient Bed Days"
- sum of total number of day stay in the ward by all patients in that ward, again, the count is generated from categorical data (i.e. no. of patient tagged as "staying in that particular ward")
"infection per patient bed days"
- "infection count" / "patient bed days" both were originally count data, but now becomes a rate
- Can I use Chi-Square here to assess whether the difference in "infections per patient bed days" is statistically significant or not?
I have found that I can compare the incidence rate (or call it infection rate), but doing something like "incidence rate difference" (IRD) or "incidence rate ratio" (IRR). (I found it from here)
- What is the difference between IRD and t-test?
- Is there any statistical test complementary for IRR?