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

View source: R/ci.R

ciR 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 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 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))


meta documentation built on Sept. 18, 2022, 1:06 a.m.