## Compute Corrected QT

### Description

Computes corrected QT using Bazett's, Fridericia's or Sagie's formula.

### Usage

compute_qtc(qt, rr, method)


### Arguments

 qt QT interval A numeric vector is expected. It is expected that QT is measured in msec. rr RR interval A numeric vector is expected. It is expected that RR is measured in msec. method Method used to QT correction Permitted Values: "Bazett", "Fridericia", "Sagie"

### Details

Depending on the chosen method one of the following formulae is used.

Bazett:

\frac{QT}{\sqrt{\frac{RR}{1000}}}

Fridericia:

\frac{QT}{\sqrt{\frac{RR}{1000}}}

Sagie:

1000\left(\frac{QT}{1000} + 0.154\left(1 - \frac{RR}{1000}\right)\right)

Usually this computation function can not be used with ⁠%>%⁠.

### Value

QT interval in msec

derive_param_qtc()

BDS-Findings Functions that returns a vector: compute_bmi(), compute_bsa(), compute_egfr(), compute_framingham(), compute_map(), compute_qual_imputation_dec(), compute_qual_imputation(), compute_rr(), compute_scale()

### Examples

compute_qtc(qt = 350, rr = 56.54, method = "Bazett")

compute_qtc(qt = 350, rr = 56.54, method = "Fridericia")

compute_qtc(qt = 350, rr = 56.54, method = "Sagie")