Last data update: 2014.03.03
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R: Calculation of confidence intervals (based on normal...
Calculation of confidence intervals (based on normal
approximation or t-distribution)
Description
Calculation of confidence intervals; based on normal approximation
or t-distribution.
Usage
ci(TE, seTE, level=0.95, df=NULL)
Arguments
TE |
Estimated treatment effect.
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seTE |
Standard error of treatment estimate.
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level |
The confidence level required.
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df |
Degrees of freedom (for confidence intervals based on t-distribution).
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Value
List with components
TE |
Estimated treatment effect.
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seTE |
Standard error of treatment estimate.
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lower |
Lower confidence limits.
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upper |
Upper confidence limits.
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z |
Test statistic (either z-score or t-score).
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p |
P-value of test with null hypothesis TE=0 .
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level |
The confidence level required.
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df |
Degrees of freedom (t-distribution).
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Note
This function is primarily called from other functions of the library
meta , e.g. forest.meta , summary.meta .
Author(s)
Guido Schwarzer sc@imbi.uni-freiburg.de
Examples
data.frame(ci(170, 10))
data.frame(ci(170, 10, 0.99))
data.frame(ci(1.959964, 1))
data.frame(ci(2.2621571628, 1, df=9))
Results
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