calcBeta: Calculate the needed value of beta to achieve a specified...
In kkbrum/PSMOptimalCalipers: Reproduces and Extends Simulations on Optimal Caliper Width in Propensity-Score Matching
Description
Usage
Arguments
Value
Description
For the specified outcome regression, a value of beta must be specified as the
log-odds ratio relating the treatment to the outcome. This beta will have a
consequence on the true risk difference and thus beta must be calculated accordingly.
It is not analytically tractable and thus we estimate it using simulation and the
bisection method.
Usage
1
calcBeta(true_risk_diff, cov_dist, alpha_0_outcome, tol = 1e-04)
Arguments
true_risk_diff
The desired treated risk minus control risk
cov_dist
The covariate distribution. An integer 1-5 or one of the following:
'Ind Norm', 'Corr Norm', '5 Bern', '9 Bern', '10 Bern'
alpha_0_outcome
The calculated value alpha_0_outcome, obtained from calcAlpha0()
tol
The maximum difference between the upper and lower estimate
Value
The value of beta that corresponds to the desired risk difference for
the given covariate distribution.
kkbrum/PSMOptimalCalipers documentation built on Dec. 21, 2021, 6:45 a.m.
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Description Usage Arguments Value
Description
For the specified outcome regression, a value of beta must be specified as the log-odds ratio relating the treatment to the outcome. This beta will have a consequence on the true risk difference and thus beta must be calculated accordingly. It is not analytically tractable and thus we estimate it using simulation and the bisection method.
Usage
1 | calcBeta(true_risk_diff, cov_dist, alpha_0_outcome, tol = 1e-04)
|
Arguments
true_risk_diff |
The desired treated risk minus control risk |
cov_dist |
The covariate distribution. An integer 1-5 or one of the following: 'Ind Norm', 'Corr Norm', '5 Bern', '9 Bern', '10 Bern' |
alpha_0_outcome |
The calculated value alpha_0_outcome, obtained from calcAlpha0() |
tol |
The maximum difference between the upper and lower estimate |
Value
The value of beta that corresponds to the desired risk difference for the given covariate distribution.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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