Description Usage Arguments Details Value References Examples
The main function is to solve the estimating equations constructed by combining all pairs (N1,M1), (N1,M2), (N2,M1) and (N2,M2) with selection bias probility π(s,η) included.
1 | DA_AllEE5(realdata_covariates, realdata_alpha, beta0)
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realdata_covariates |
a list contains the following data matrics: CASEZ_1, CASEZ_2, CASEZhat_1, CASEZhat_2, CASEZhat_22, CONTZ_1, CONTZ_2, CONTZhat_1, CONTZhat_2, CONTZhat_22. For details please see definition in the help of realdata_covariates. Please be noted that all the variables have to use the same name as listed above. |
realdata_alpha |
a list contains the following data matrics: prob_case_1, prob_case_11, prob_case_2, prob_case_22, prob_cont_1, prob_cont_2, pwt_cont_2. details please see definition in the help of realdata_alpha. Please be noted that all the variables have to use the same name as listed above. |
beta0 |
We need an initial parameter for solver "nleqslv". Default value is beta0=c(-5.4163,0.7790,-0.1289,0.2773,-0.5510,0.1568,0.4353,-0.6895) |
The function solves GMM combined estimating equation with handling selection bias, see Huang(2014).
A list of estimator and its standard deviation.
Huang, H., Ma, X., Waagepetersen, R., Holford, T.R. , Wang, R., Risch, H., Mueller, L. & Guan, Y. (2014). A New Estimation Approach for Combining Epidemiological Data From Multiple Sources, Journal of the American Statistical Association, 109:505, 11-23.
1 2 3 | #you can use glm to get the estimate as the initial value of beta0
#beta0=c(-5.4163,0.7790,-0.1289,0.2773,-0.5510,0.1568,0.4353,-0.6895)
#DA_AllEE5(realdata_covariates,realdata_alpha,beta0=beta0)
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