15 citations · 29 across the 8 of their papers we have counts for
8 papers
Augmented two-step estimating equations with nuisance functionals and complex survey data
Puying Zhao, Changbao Wu
Statistical inference in the presence of nuisance functionals with complex survey data is an important topic in social and economic studies. The Gini index, Lorenz curves and quant…
Semiparametric inference on Gini indices of two semicontinuous populations under density ratio models
Meng Yuan, Pengfei Li, Changbao Wu
The Gini index is a popular inequality measure with many applications in social and economic studies. This paper studies semiparametric inference on the Gini indices of two semicon…
Semiparametric empirical likelihood inference with estimating equations under density ratio models
Meng Yuan, Pengfei Li, Changbao Wu
The density ratio model (DRM) provides a flexible and useful platform for combining information from multiple sources. In this paper, we consider statistical inference under two-sa…
Modelling Complex Survey Data Using R, SAS, SPSS and Stata: A Comparison Using CLSA Datasets
Hon Yiu So, Urun Erbas Oz, Lauren Griffith +7
The R software has become popular among researchers due to its flexibility and open-source nature. However, researchers in the fields of public health and epidemiological studies a…
Empirical Likelihood Inference With Public-Use Survey Data
Puying Zhao, J. N. K. Rao, Changbao Wu
Public-use survey data are an important source of information for researchers in social science and health studies to build statistical models and make inferences on the target fin…
Semiparametric Inference of the Youden Index and the Optimal Cutoff Point under Density Ratio Models
Meng Yuan, Pengfei Li, Changbao Wu
The Youden index is a popular summary statistic for receiver operating characteristic curve. It gives the optimal cutoff point of a biomarker to distinguish the diseased and health…
Combining Non-probability and Probability Survey Samples Through Mass Imputation
Jae Kwang Kim, Seho Park, Yilin Chen +1
This paper presents theoretical results on combining non-probability and probability survey samples through mass imputation, an approach originally proposed by Rivers (2007) as sam…
Doubly Robust Inference with Non-probability Survey Samples
Yilin Chen, Pengfei Li, Changbao Wu
We establish a general framework for statistical inferences with non-probability survey samples when relevant auxiliary information is available from a probability survey sample. W…