meta (version 4.4-1)

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)

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).

Value

List with components

TE

Estimated treatment effect.

seTE

Standard error of treatment estimate.

lower

Lower confidence limits.

upper

Upper confidence limits.

z

Test statistic (either z-score or t-score).

p

P-value of test with null hypothesis TE=0.

level

The confidence level required.

df

Degrees of freedom (t-distribution).

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))