ci: Calculation of confidence intervals (based on normal...

In meta: General Package for Meta-Analysis

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 TE=0
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 [e-mail]

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))

meta documentation built on June 7, 2023, 5:08 p.m.