nnt_l: Laupacis' NNT calculator
In vancak/NNT-calculator-2018: NNT Calculator

Description Usage Arguments Value Examples

Calculates Laupacis' type NNT. Takes two numeric vectors, treatment and control, and returns the estimated NNT using the specified estimation method.

1 2	nnt_l(type, treat, control, cutoff, decrease, dist = "none", equal.var = TRUE)

`type`	specification of the estimation method; 'mle' (for the Maximum Likelihood estimator), 'fl' (for Furukawa & Leucht's estimator), 'laupacis' (for the non-parametric MLE estimator)
`treat`	vector of response variable of the treament group
`control`	vector of response variable of the control group
`cutoff`	a scalar that is the MCID
`decrease`	TRUE or FALSE. Indicates whether the MCID change is decrease in the response variable
`dist`	distribution type (if specified); "normal" (Normal), "expon" (Exponential). The default value is 'none'.
`equal.var`	TRUE or FALSE; Indicates whether the variances are equal - for normal distribution only. The default value is TRUE.

The estimated Laupacis' NNT and its confidence intervals using the specified estimation method.

 nnt_l( type      = "mle",
       treat     = rnorm(1000, 110, 10),
       control   = rnorm(1000, 100, 10),
       cutoff    = 100,
       equal.var = TRUE,
       dist      = "normal",
       decrease  = FALSE )