In longitudinal data analysis with dropouts, despite its local efficiency in theory, the augmented inverse probability weighted (AIPW) estimator hardly achieves the semiparametric efficiency bound in practice, even if the variance–covariance of the longitudinal outcomes is correctly modeled....

In recent years, an increasing number of Chinese wind power firms have been going international in search of global market for development channels. By employing qualitative research and case study methods, this paper examines the export scale and markets of China’s wind turbines, the market...

To obtain the development and change of teachers’ strategic knowledge in teachers’ online community of practice (TOCP) in China, content analysis, video case analysis and statistical analysis methods were adopted to study 45 teachers (15 novice teachers, 15 key teachers, and 15...

Merging data from multiple studies has been widely adopted in biomedical research. In this paper, we consider two major issues related to merging longitudinal datasets. We first develop a rigorous hypothesis testing procedure to assess the validity of data merging, and then propose a flexible...

We present new statistical analyses of data arising from a clinical trial designed to compare two-stage dynamic treatment regimes (DTRs) for advanced prostate cancer. The trial protocol mandated that patients be initially randomized among four chemotherapies, and that those who responded poorly...

In many biomedical studies, identifying effects of covariate interactions on survival is a major goal. Important examples are treatment–subgroup interactions in clinical trials, and gene–gene or gene–environment interactions in genomic studies. A common problem when implementing a variable...

Regarding the carbon emissions allocation principles, whether historical responsibility can be and how to be incorporated into the global climate framework is still under heated discussions. Here we argue that the permits share of most developed countries will sharply shrink when historical...

For the multi-agent spatial Parrondo’s games, the available theoretical analysis methods based on the discrete-time Markov chain were assumed that the losing and winning states of an ensemble of N players were represented to be the system states. The number of system states was 2N types....