@misc{10481/64153,
year = {2020},
month = {8},
url = {http://hdl.handle.net/10481/64153},
abstract = {Respondent-driven sampling (RDS) is a snowball-type sampling method used to survey hidden populations, that is, those that lack a sampling frame. In this work, we consider the problem of regression modeling and association for continuous RDS data. We propose a new sample weight method for estimating non-linear parameters such as the covariance and the correlation coefficient. We also estimate the variances of the proposed estimators. As an illustration, we performed a simulation study and an application to an ethnic example. The proposed estimators are consistent and asymptotically unbiased. We discuss the applicability of the method as well as future research.},
organization = {Ministerio de Economia, Industria y Competitividad, Spain 	
MTM2015-63609-R},
publisher = {MDPI},
keywords = {Respondent-driven sampling},
keywords = {Regression},
keywords = {Network dependence},
title = {Estimation of Non-Linear Parameters with Data Collected Using Respondent-Driven Sampling},
doi = {10.3390/math8081315},
author = {Sánchez Borrego, Ismael Ramón and Rueda García, María Del Mar and Mullo, Héctor},
}