meta (version 3.0-1)

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))