MarginalProbs: Computes marginal probabilities for a dataset where the...

Description Usage Arguments Value Author(s) See Also Examples

Description

This function computes the marginal probabilities associated with the distribution of the potential outcomes for the true and surrogate endpoint.

Usage

1
MarginalProbs(Dataset=Dataset, Surr=Surr, True=True, Treat=Treat)

Arguments

Dataset

A data.frame that should consist of one line per patient. Each line contains (at least) a binary surrogate value, a binary true endpoint value, and a treatment indicator.

Surr

The name of the variable in Dataset that contains the binary surrogate endpoint values. Should be coded as 0 and 1.

True

The name of the variable in Dataset that contains the binary true endpoint values. Should be coded as 0 and 1.

Treat

The name of the variable in Dataset that contains the treatment indicators. The treatment indicator should be coded as 1 for the experimental group and -1 for the control group.

Value

Theta_T0S0

The odds ratio for S and T in the control group.

Theta_T1S1

The odds ratio for S and T in the experimental group.

Freq.Cont

The frequencies for S and T in the control group.

Freq.Exp

The frequencies for S and T in the experimental group.

pi1_1_

The estimated π_{1 \cdot 1 \cdot}

pi0_1_

The estimated π_{0 \cdot 1 \cdot}

pi1_0_

The estimated π_{1 \cdot 0 \cdot}

pi0_0_

The estimated π_{0 \cdot 0 \cdot}

pi_1_1

The estimated π_{\cdot 1 \cdot 1}

pi_1_0

The estimated π_{\cdot 1 \cdot 0}

pi_0_1

The estimated π_{\cdot 0 \cdot 1}

pi_0_0

The estimated π_{\cdot 0 \cdot 0}

Author(s)

Wim Van der Elst, Ariel Alonso, & Geert Molenberghs

See Also

ICA.BinBin

Examples

1
2
3
4
5
6
7
8
9
# Open the ARMD dataset and recode Diff24 and Diff52 as 1
# when the original value is above 0, and 0 otherwise
data(ARMD)
ARMD$Diff24_Dich <- ifelse(ARMD$Diff24>0, 1, 0)
ARMD$Diff52_Dich <- ifelse(ARMD$Diff52>0, 1, 0)

# Obtain marginal probabilities and ORs
MarginalProbs(Dataset=ARMD, Surr=Diff24_Dich, True=Diff52_Dich, 
Treat=Treat)


Search within the Surrogate package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.