The oldest multiple testing correction is the Bonferroni correction. It is a simple and conservative method that adjusts the p-value for each test by dividing it by the number of tests being conducted. This ensures that the overall Type I error rate does not exceed a specified level, such as 0.05.
The Bernoulli correction is another multiple testing correction that is based on the binomial distribution. It is more powerful than the Bonferroni correction, but it is also more complex.
The likelihood correction is a more recent multiple testing correction that is based on the likelihood ratio test. It is more powerful than the Bonferroni and Bernoulli corrections, but it is also more complex.
Therefore, the correct answer is A. Bonferroni correction.