SPPcomb (version 0.1)

DA_FDN2M2: Data Analysis of (N2,M2)

Description

The main function to solve the estimating equations constructed by (N2,M2). Since there is just one case data, no selection bias needed.

Usage

DA_FDN2M2(realdata_covariates, realdata_alpha, p, beta0)

Arguments

realdata_covariates

a list contains the following data matrics: CASEZhat_2, CASEZhat_22, CONTZhat_2, CONTZhat_22

realdata_alpha

a list contains the following data matrics: prob_case_22,prob_cont_2, pwt_cont_2

p

number of parameters.

beta0

an initial parameter for solver "nleqslv".

Value

A list of estimator and its standard deviation.

Details

The function solves estimating equation based on (N2,M2), see Huang(2014).

References

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.

Examples

 #p <- 8
 #beta0=c(-5.4163,0.7790,-0.1289,0.2773,-0.5510,0.1568,0.4353,-0.6895)
 #DA_FDN2M2(realdata_covariates,realdata_alpha,p=p,beta0=beta0)