Association.Measures.OR: This function implements 10 methods for OR confidence...

Description Usage Arguments Details Value References See Also Examples

View source: R/803.Association-measures-OR.R

Description

This function implements 10 methods for OR confidence interaval - Woolf, Gart, Agresti, MOVER, MI_NU, CornEX, CornMP, BaPiEx, BaPiMP, Inverse Sinh and Inverse Sinh Adjusted

Usage

1
Association.Measures.OR(ai, bi, ci, di, alp, e1, e2)

Arguments

ai

- Numeric value representing True Positives

bi

- Numeric value representing False Positives

ci

- Numeric value representing False Negatives

di

- Numeric value representing True Negatives

alp

- Numeric value representing required significance level

e1

- Numeric value representing adjustment factor for inverse Sinh adjusted

e2

- Numeric value representing adjustment factor for inverse Sinh adjusted

Details

Ten methods - Woolf, Gart, Agresti, MOVER, MI_NU, CornEX, CornMP, BaPiEx, BaPiMP, Inverse Sinh, Inverse Sinh Adjusted are implimented from ORCI package (9 methods) and PropCIs package (1 method-Miettinen-Nurminen).

Value

A dataframe with

Method

Ten methods are implemented - Woolf, Gart, Agresti, MOVER, MI_NU, CornEX, CornMP, BaPiEx, BaPiMP, Inverse Sinh, Inverse Sinh Adjusted

Estimate

The estimated value

Lower.Limit

The lower limit

Upper.Limit

The upper limit

References

[1] Fagerland, M. W., & Newcombe, R. G. (2013). Confidence intervals for odds ratio and relative risk based on the inverse hyperbolic sine transformation. Statistics in medicine, 32(16), 2823-2836. [2] Upton, G. J. (2016). Categorical Data Analysis by Example. John Wiley & Sons.

See Also

Woolf.CI{Gart.CI}{Agrestiind.CI}{MOVER.CI}{Cornfieldexact.CI}{Cornfieldmidp.CI}{BPexact.CI}{BPmidp.CI}{Invsinh.CI} with additional parameters. This function calls ORCI functions. orscoreci with additional parameters. This function calls orscoreci function.

Other Association Measures methods: Association.Measures.RD, Association.Measures.RR

Examples

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ai=7; bi=11; ci=1; di=17; alp=0.05; e1=0.5; e2=0.5
Association.Measures.OR(ai, bi, ci, di, alp, e1, e2)

RajeswaranV/vcdPlus documentation built on May 27, 2019, 7:28 a.m.