nnt_kk: Kraemer & Kupfer's NNT calculator
In vancak/NNTcalculator: Calculator of unadjusted, adjusted and marginal NNT

nnt_kk

R Documentation

Kraemer & Kupfer's NNT calculator

Description

Calculates the parametric and the non-parametric KK-NNT. Takes two numeric vectors that are the outcomes of the treatment and control arms, and returns the estimated KK-NNT using the specified method.

Usage

nnt_kk(type, treat, control, decrease, dist = "none", equal.var)

Arguments

`type`	specification of the estimation method; 'mle' (for the Maximum Likelihood estimator) and 'non-param' (for the non-parametric MLE)
`treat`	vector of response variable of the treatment group
`control`	vector of response variable of the control group
`decrease`	logical TRUE or FALSE. Indicates whether the MCID change is decrease in the response variable
`dist`	distribution type (only for the 'mle' type estimator); "norm" (Normal), "expon" (Exponential). The default value is 'none'
`equal.var`	logical TRUE or FALSE; Indicates whether the variances are equal - for normal distribution only. The default value is TRUE

Value

The estimated Kraemer & Kupfer's NNT and its confidence intervals using the specified estimation method.

References

Kraemer, H. C., & Kupfer, D. J. (2006). Size of treatment effects and their importance to clinical research and practice. Biological psychiatry, 59(11), 990-996.

Vancak, V., Goldberg, Y., & Levine, S. Z. (2020). Systematic analysis of the number needed to treat. Statistical Methods in Medical Research, 0962280219890635.

Examples

nnt_kk( type     = "non-param",
       treat     = rnorm(100, 100, 10),
       control   = rnorm(100, 110, 20),
       dist      = "none",
       decrease  = TRUE )

vancak/NNTcalculator documentation built on April 7, 2022, 3:48 a.m.