Ne_low: Lower 1-alpha Confidence Bound (Minimum Sum Method)

Description Usage Arguments Details Value Examples

View source: R/minimum_sum_method.R

Description

Function obtained from Edwards et. al. (2003): "a bisection routine to find a lower 1-alpha confidence bound for Ne, the number of population items in error. Population size Npop, SRS size nsamp, ne = number of sample items in error.

Usage

1
Ne_low(Npop, nsamp, ne, alpha = 0.1)

Arguments

Npop

"Number of payments (e.g. on Medicare claims) in the universe/population"

nsamp

"Number of payments (e.g. on Medicare claims) in...simple random sample"

ne

"The number...of sample payments which are completely in error (Or, for partial overpayment scenarios, seriously in error—see Section 4.2.)"

alpha

alpha-level for "1-alpha confidence bound"

Details

Citation: Edwards, D., Ward-Besser, G., Lasecki, J., Parker, B., Wu, F. & Moorhead, P. (2003). The Minimum Sum Method: A Distribution-Free Sampling Procedure for Medicare Fraud Investigations. Heath Services & Outcomes Research Methodology 4: 241-263.

Value

Lower 1-alpha confidence bound for the "number...of universe payments which are completely in error (Or, for partial overpayment scenarios, seriously in error—see Section 4.2.)"

Examples

1
Ne_low(Npop = 1000, nsamp = 30, ne = 15, alpha=0.05)

mncube/claimr documentation built on Dec. 21, 2021, 8:07 p.m.