Description Usage Arguments Details Value Author(s) References Examples
Estimation causal effect under Assumption 6 in Ding et al. (2011) when the second order moment of the error term is constant.
1 | homo_IV1(Z, A, M, Y, X)
|
Z |
A vector of the randomization variable. |
A |
A vector of the first mediator: whether a patient receives antidepressant medication. |
M |
A vector of the second mediator: whether a patient receives mental health therapy. |
Y |
A vector of the outcome of interest. |
X |
A matrix of all the covariates. |
For background of the problem, see Ding et al. (2011).
beta |
beta coefficients of Z, A, M and AM. |
phat |
proportion of randomization to the treatment group. |
residual |
residuals of the regression. |
se |
standard errors of beta coefficients. |
zvalue |
z-vlues of the beta coefficients. |
pvalue |
p-values of the beta coefficients. |
CI |
confidence intervals of the beta coefficients. |
COV |
covariance matrix of the beta coefficients. |
ser |
robust version of standard errors of beta coefficients. |
zvaluer |
robust version of z-vlues of the beta coefficients. |
pvaluer |
robust version of p-values of the beta coefficients. |
CIr |
robust version of confidence intervals of the beta coefficients. |
COVr |
robust version of covariance matrix of the beta coefficients. |
N |
sample size |
G |
G is defined in Ding et al. (2010). |
W |
W is defined in Ding et al. (2010). |
Omega |
Omega is is defined in Ding et al. (2010). |
Peng Ding <dingyunyiqiu@163.com>
Ding, P., Geng, Z. and Zhou, X. H. (2011). Identifying Causal Effect for Multi-Component Intervention Using Instrumental Variable Method: with A Case Study of IMPACT Data. Technical Report.
1 | ##See help for "ImpactIV"
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.