| ci {meta} | R Documentation | 
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, null.effect = 0)
Arguments
| TE | Estimated treatment effect. | 
| seTE | Standard error of treatment estimate. | 
| level | The confidence level required. | 
| df | Degrees of freedom (for confidence intervals based on t-distribution). | 
| null.effect | A numeric value specifying the effect under the null hypothesis. | 
Value
List with components
| TE | Estimated treatment effect | 
| seTE | Standard error of treatment estimate | 
| lower | Lower confidence limits | 
| upper | Upper confidence limits | 
| statistic | Test statistic (either z-score or t-score) | 
| p | P-value of text.with null hypothesis  | 
| level | The confidence level required | 
| df | Degrees of freedom (t-distribution) | 
Note
This function is primarily called from other functions of the
library meta, e.g. forest.meta, summary.meta.
Author(s)
Guido Schwarzer guido.schwarzer@uniklinik-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))