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?