BMort                   BMort
ChisqTest_expect        Chi-square test to test for significant
                        difference between observed and expected number
                        of positive studies (not for end user).
expected_events         calculate the number of expected events from a
                        study included in a meta-analysis assuming
                        summary effect estimate (OR_hat) is true (not
                        for end user).
plot_chase_observed_expected
                        From a meta-analysis, analyse for publication
                        bias.  Calculates observed and expected number
                        of positive studies and P for difference.
test.n                  This runs test_one function for many
                        replicates, usually 10,000, for example, to
                        generate the type-2 error rate for one
                        constituent study (not for end user).
test.n.treated          Observed number of positive by testing for
                        significance from observed findings at given
                        alpha level (not intended for end user).
test.one.treated        Is one constituent study observed significant,
                        in favour of treatment, at a given alpha level?
                        (Not intended for end user)
test_one                For one constituent study and one simulation of
                        its outcome, test if p<type-1 error rate (not
                        for end user).
