**150**wrote:

From this Research paper Table1 Association of RAD51-AS1 expression with clinicopathological features of EOC patients I see that `p-value`

is calculated based on Chi-square test.

```
Age Low-RAD51-AS1 High-RAD51-AS1 P-value
<50 25 (38.5) 17 (26.6) 0.149
≥50 40 (61.5) 47 (73.4)
```

For the Variable Age the `p-value`

is 0.149

But when I calculated it gave a different value.

```
data <- data.frame(x= c(25, 40), y=c(17, 47))
chisq.test(data, correct = T)
Pearson's Chi-squared test with Yates' continuity
correction
data: data
X-squared = 1.5728, df = 1, p-value = 0.2098
```

It is not only with Age even the rest all variable data also gives different p-values compared with the p-values in the Research paper.

What could be the reason for this different p-values? Did I do anything wrong?

**39k**• written 7 months ago by Biologist •

**150**