test.one.treated
(Package: PubBias) :
Is one constituent study observed significant, in favour of treatment, at a given alpha level? (Not intended for end user)
Is one constituent study observed significant, in favour of treatment, at a given alpha level? (Not intended for end user)
ChisqTest_expect
(Package: PubBias) :
Chi-square test to test for significant difference between observed and expected number of positive studies (not for end user).
Chi-square test to test for significant difference between observed and expected number of positive studies (not for end user).
test.n.treated
(Package: PubBias) :
Observed number of positive by testing for significance from observed findings at given alpha level (not intended for end user).
Observed number of positive by testing for significance from observed findings at given alpha level (not intended for end user).
test.n
(Package: PubBias) :
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).
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).
expected_events
(Package: PubBias) :
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).
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).