Two-sample likelihood ratio test

1. What does a likelihood ratio test tell you?
2. What is the likelihood ratio test hypothesis?
3. How do you calculate likelihood ratio?
4. How do you report a likelihood ratio test?

What does a likelihood ratio test tell you?

In statistics, the likelihood-ratio test assesses the goodness of fit of two competing statistical models based on the ratio of their likelihoods, specifically one found by maximization over the entire parameter space and another found after imposing some constraint.

What is the likelihood ratio test hypothesis?

The likelihood ratio (LR) test is a test of hypothesis in which two different maximum likelihood estimates of a parameter are compared in order to decide whether to reject or not to reject a restriction on the parameter.

How do you calculate likelihood ratio?

The likelihood ratio for each stratum is calculated as the likelihood of that test result in patients with a positive test divided by the likelihood of that result in patients with a negative test.

How do you report a likelihood ratio test?

One should report exact p-value and an effect size along with its confidence interval. In the case of likelihood ratio test one should report the test's p-value and how much more likely the data is under model A than under model B.