9.5 Tests for ORs
A study examined the mortality rates of lower-limb amputation, and factors that may be associated with mortality (Singh and Prasad 2016).
As part of the study, the researchers recorded the five-year mortality rate (the number of amputees who died within five years of amputation) and whether or not the person used an artificial limb.
The RQ was:
For this type of amputees, is the odds of being alive after five years the same for those who used an artificial limb, and those who did not?
A total of 105 subjects were used: 35 died within five years, and 70 were still alive after five years.
In addition, 65 subjects used an artificial limb, and 40 did not.
After five years, 49 people using an artificial limb were alive.
Construct the \(2\times 2\) table (Table 9.1) displaying the number of people alive or dead after five years (in columns, say) and whether or not they used an artificial limb or not (in rows).
|Used art. limb|
|Did not use art. limb|
For a person using an artificial limb, compute the odds of being alive after five years.
For a person not using an artificial limb, compute the odds of being alive after five years.
Then compute the odds ratio, complete Table 9.2, and carefully explain what the OR means.
- Write the hypotheses.
- Write down the value of \(\chi^2\).
- What \(z\)-score is this approximately equivalent to?
- What is the approximate \(P\)-value using the 68–95–99.7 rule?
- What is the exact \(P\)-value as reported by software?
- Write a conclusion.
|Percentage alive after 5 years||Odds alive after 5 years||Sample size|
|Use artificial limb|
|Did not use artifical limb|
Singh, Rajiv Kumar, and Guru Prasad. 2016. “Long-Term Mortality After Lower-Limb Amputation.” Prosthetics and Orthotics International 40 (5).