get_threshold: Identify the right threshold

In nncc: Nearest Neighbors Matching of Case-Control Data

Identify the right threshold

Description

To find a threshold for distance to define controls that are qualified to be matched with a case.

Usage

get_threshold(data, vars, case_var = "case", p_threshold = 0.5, seed = 1600)

Arguments

data	The dataset
vars	The variables to use for calculating distance
case_var	The name of the case identifier variable
p_threshold	The probability that the closest matching approach produces the closer matching relative to the random matching approach. The greater p_threshold, the smaller the threshold.
seed	A random seed.

Details

This function uses logistic regression to predict by the distance whether a control is the closest (unique) match for each case vs. a random selection and by default returns the 50

For more information, please refer to the vignette using browseVignettes("nncc").

Value

A list with items:

threshold	The numeric threshold chosen
modeldata	The data used to fit the logistic regression model
strata	The strata made by make_knn_strata
model	The fit logisitic regression model

nncc documentation built on May 29, 2024, 5:05 a.m.