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# Function to calculate odds ratios and confidence intervals
# on odds ratios.
# Written by Kevin Middleton
# Successes in Column 1
# Treatment of interest in Row 2
odds.ratio <- function(x, conf.level = 0.95){
rowsums <- rowSums(x)
p1 <- x[1, 1] / rowsums[1]
p2 <- x[2, 1] / rowsums[2]
o1 <- p1 / (1 - p1)
o2 <- p2 / (1 - p2)
OR <- o2 / o1
log.OR <- log(OR)
SE.log.OR <- sqrt(sum(1/x))
crit <- qnorm((1 - conf.level)/2, lower.tail = FALSE)
log.lower <- log.OR - crit * SE.log.OR
log.upper <- log.OR + crit * SE.log.OR
lower <- exp(log.lower)
upper <- exp(log.upper)
zz <- list(p1 = p1, p2 = p2, o1 = o1, o2 = o2, OR = OR,
lower = lower, upper = upper, conf.level = conf.level)
class(zz) <- "odds.ratio"
zz
}
print.odds.ratio <- function(x, digits = 4, ...){
cat("\n")
cat("Odds Ratio\n")
cat("\n")
cat("Proportions\n")
cat("\tProp. 1:\t", format(x$p1, digits = digits), "\n")
cat("\tProp. 2:\t", format(x$p2, digits = digits), "\n\n")
cat("Odds\n")
cat("\tOdds 1:\t\t", format(x$o1, digits = digits), "\n")
cat("\tOdds 2:\t\t", format(x$o2, digits = digits), "\n\n")
cat("Odds Ratio\n")
cat("\tOdds Ratio:\t", format(x$OR, digits = digits), "\n\n")
cat(format(100 * x$conf.level), "percent confidence interval:\n\t")
cat(format(x$lower, digits = digits), "< OR <", format(x$upper, digits = digits), "\n")
}
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