Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 7 of 7 found.
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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)
● Data Source: CranContrib
● Keywords:
● Alias: test.one.treated
● 0 images

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).
● Data Source: CranContrib
● Keywords:
● Alias: ChisqTest_expect
● 0 images

test_one (Package: PubBias) : For one constituent study and one simulation of its outcome, test if p<type-1 error rate (not for end user).

For one constituent study and one simulation of its outcome, test if p<type-1 error rate (not for end user).
● Data Source: CranContrib
● Keywords:
● Alias: test_one
● 0 images

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).
● Data Source: CranContrib
● Keywords:
● Alias: test.n.treated
● 0 images

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).
● Data Source: CranContrib
● Keywords:
● Alias: test.n
● 0 images

plot_chase_observed_expected (Package: PubBias) : From a meta-analysis, analyse for publication bias.

From a meta-analysis, analyse for publication bias. Calculates observed and expected number of positive studies and P for difference.
● Data Source: CranContrib
● Keywords:
● Alias: plot_chase_observed_expected
1 images

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).
● Data Source: CranContrib
● Keywords:
● Alias: expected_events
● 0 images