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meta (version 7.0-0)

ci: 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)

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)

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.

Examples

Run this code
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))

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