calcAlpha0: Calculate the needed value of alpha_0_outcome or...
In kkbrum/PSMOptimalCalipers: Reproduces and Extends Simulations on Optimal Caliper Width in Propensity-Score Matching
Description
Usage
Arguments
Value
Description
The form of the treatment and outcome regressions require values of
alpha_0_outcome or alpha_0_treat. In order to achieve a desired outcome
or treatment rate with a given covariate distribution, this value must
be calculated. It is not analytically solvable and thus it is approximated
using a simulation and bisection method.
Usage
1
calcAlpha0(desired_prop, cov_dist, tol = 1e-04)
Arguments
desired_prop
The desired event rate
cov_dist
The covariate distribution. An integer 1-5 or one of the following:
'Ind Norm', 'Corr Norm', '5 Bern', '9 Bern', '10 Bern'
tol
The maximum difference between the upper and lower estimate
Value
A numeric to be used as alpha_0_treat or alpha_0_outcome.
kkbrum/PSMOptimalCalipers documentation built on Dec. 21, 2021, 6:45 a.m.
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Description Usage Arguments Value
Description
The form of the treatment and outcome regressions require values of alpha_0_outcome or alpha_0_treat. In order to achieve a desired outcome or treatment rate with a given covariate distribution, this value must be calculated. It is not analytically solvable and thus it is approximated using a simulation and bisection method.
Usage
1 | calcAlpha0(desired_prop, cov_dist, tol = 1e-04)
|
Arguments
desired_prop |
The desired event rate |
cov_dist |
The covariate distribution. An integer 1-5 or one of the following: 'Ind Norm', 'Corr Norm', '5 Bern', '9 Bern', '10 Bern' |
tol |
The maximum difference between the upper and lower estimate |
Value
A numeric to be used as alpha_0_treat or alpha_0_outcome.
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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