Stats
What do all these numbers mean?
This is a first draft of Chapter 6 of
"Statistical Evidence."
6.0 Introduction
You will see a lot of statistics being
tossed around in medical journals. You don't have to know how to compute these
numbers but you do need to know how to interpret them. Here's a simple guide to
some of the numbers you are likely to encounter in a medical journal article.
6.1 Hypothesis testing
6.1.1 P-value
6.1.2 Confidence interval
6.1.3 Why you should prefer the confidence interval?
6.2 Measures of risk
The material in this section is based on
the publication: Understanding the odds ratio and the relative risk. Simon
SD. J Androl 2001: 22(4); 533-6.
Consider the following data on survival of passengers on the Titanic. There
were 462 female passengers: 308 survived and 154
died. There were 851 male passengers: 142
survived and 709 died (see table below).
| |
Alive |
Dead |
Total |
| Female |
308 |
154 |
462 |
| Male |
142 |
709 |
851 |
| Total |
450 |
863 |
1,313 |
Clearly, a male passenger on the Titanic was more likely to die than a
female passenger. But how much more likely? You can compute the odds ratio or
the relative risk to answer this question.
6.2.1 Odds ratio
The odds ratio compares the relative odds of death in each group. For
females, the odds were exactly 2 to 1 against dying
(154/308=0.5). For males, the odds were almost
5 to 1 in favor of death (709/142=4.993).
The odds ratio is 9.986 (4.993/0.5).
There is a ten fold greater odds of death for males than for females.
6.2.2. Relative risk
The relative risk (sometimes called the risk ratio) compares the
probability of death in each group rather than the odds. For females, the
probability of death is 33% (154/462=0.3333).
For males the probability is 83% (709/851=0.8331).
The relative risk of death is 2.5 (0.8331/0.3333).
There is a 2.5 greater probability of death for males than for females.
6.2.3 Number needed to treat
6.2.4 Which measure is best?
6.3 Diagnostic testing
6.3.1 Sensitivity
6.3.2 Specificity
6.3.3 Positive predictive value
6.3.4 Negative predictive value
6.3.5 Likelihood ratio
This webpage was written on (unknown date), edited by Steve
Simon, and was last modified on
2008-07-08.
Category: Statistical evidence