Contents
How is Peto odds ratio calculated?
– where psi hat is the Peto odds ratio, n = a+b+c+d, zp is the asymptotically normal test statistic, CI is the 100(1-a)% confidence interval and zα/2 is a quantile from the standard normal distribution. V is both weighting factor and variance for the difference between observed and expected a, O-E.
What is Peto method?
It uses an inverse variance approach but utilizes an approximate method of estimating the log odds ratio, and uses different weights. An alternative way of viewing the Peto method is as a sum of ‘O – E’ statistics.
What is a combined odds ratio?
Typically you combine by taking the weighted average of the log of the odds ratio and then exponentiating. If the sizes of the data sets are roughly equal for your odds ratios then it’s the average of the log odds.
What is Mantel-Haenszel odds ratio?
The Mantel-Haenszel test can be used to estimate the common odds ratio and to test whether the overall degree of association is significant. It is a consistent estimator in the following two cases: When the number of tables is fixed, and possibly small, but each table has large marginal frequencies.
What pooled odds ratio?
The odds ratio is commonly used in survey research, in epidemiology, and to express the results of some clinical trials, such as in case-control studies. It is often abbreviated “OR” in reports. When data from multiple surveys is combined, it will often be expressed as “pooled OR”.
What is the Mantel-Haenszel method?
The Cochran-Mantel-Haenszel method is a technique that generates an estimate of an association between an exposure and an outcome after adjusting for or taking into account confounding. The method is used with a dichotomous outcome variable and a dichotomous risk factor.
What is a good diagnostic odds ratio?
The value of an odds ratio, like that of other measures of test performance—for example, sensitivity, specificity, and likelihood ratios—depends on prevalence. For example, a test with a diagnostic odds ratio of 10.00 is considered to be a very good test by current standards.