activity
20142020
collaborators

6 papers

stat.ME2020

Hypothesis Testing of Blip Effects in Sequential Causal Inference

Xiaoqin Wang, Li Yin

In this article, we study the hypothesis testing of the blip / net effects of treatments in a treatment sequence. We illustrate that the likelihood ratio test and the score test ma…

stat.CO2015

Estimating confidence regions of common measures of (baseline, treatment effect) on dichotomous outcome of a population

Li Yin, Xiaoqin Wang

In this article we estimate confidence regions of the common measures of (baseline, treatment effect) in observational studies, where the measure of baseline is baseline risk or ba…

stat.ME2015

Point and interval estimation of exposure effects and interaction between the exposures based on logistic model for observational studies

Xiaoqin Wang, Weimin Ye, Li Yin

In observational studies with dichotomous outcome of a population, researchers need to present the effects of exposures and interaction between the exposures jointly in order to le…

stat.CO2015

Measuring and estimating interaction between exposures on dichotomous outcome of a population

Xiaoqin Wang, Weimin Ye, Li Yin

In observational studies for the interaction between exposures on dichotomous outcome of a population, one usually uses one parameter of a regression model to describe the interact…

stat.ME2014

Estimating Net Effects of Treatments in Treatment Sequence without the Assumption of Strongly Ignorable Treatment Assignment

Li Yin, Xiaoqin Wang

In sequential causal inference, one estimates the causal net effect of treatment in treatment sequence on an outcome after last treatment in the presence of time-dependent covariat…

stat.ME2014

Parametric Sequential Causal Inference in Point Parametrization

Li Yin, Xiaoqin Wang

Suppose that a sequence of treatments are assigned to influence an outcome of interest that occurs after the last treatment. Between treatments there exist time-dependent covariate…