computep {iTOS} | R Documentation |
Computes individual and pairwise treatment assignment probabilities.
Description
Of limited interest to most users, the computep function plays an internal role in 2-sample and stratified sensitivity analyses. The computep function is equations (9) and (10), page 496, in Rosenbaum and Krieger (1990). The computep function is from the senstrat package.
Usage
computep(bigN, n, m, g)
Arguments
bigN |
Total sample size in this stratum. |
n |
Treated sample size in this stratum. |
m |
The number of 1's in the vector u of unobserved covariates. Here, u has bigN-m 0's followed by m 1's. |
g |
The sensitivity parameter |
Value
p1 |
Equation (9), page 496, in Rosenbaum and Krieger (1990) evaluated with u[i]=1. |
p0 |
Equation (9), page 496, in Rosenbaum and Krieger (1990) evaluated with u[i]=0. |
p11 |
Equation (10), page 496, in Rosenbaum and Krieger (1990) evaluated with u[i]=1, u[j]=1. |
p10 |
Equation (10), page 496, in Rosenbaum and Krieger (1990) evaluated with u[i]=1, u[j]=0. |
p00 |
Equation (10), page 496, in Rosenbaum and Krieger (1990) evaluated with u[i]=0, u[j]=0. |
Note
The function computep is called by the function ev.
Author(s)
Paul R. Rosenbaum
References
Rosenbaum, P. R. and Krieger, A. M. (1990) <doi:10.2307/2289789> Sensitivity of two-sample permutation inferences in observational studies. Journal of the American Statistical Association, 85, 493-498.
Rosenbaum, P. R. (2002). Observational Studies (2nd edition). New York: Springer. Section 4.6.
Examples
computep(10,5,6,2)