The transmission disequilibrium test (TDT) is a standard method to detect association using family trio design. It is optimal for an additive genetic model. Other TDT-type tests optimal for recessive and dominant models have also been developed. Association tests using family data, including the...

Based on an ecosystem view of innovation management and in-depth case studies of firms in China and abroad, a novel paradigm of innovation management—Total Innovation Management (TIM)—is put forward in this paper. This new paradigm draws on three distinct areas of recent research, namely the...

In this article, a simple algorithm is used to maximize a family of optimal statistics for hypothesis testing with a nuisance parameter not defined under the null hypothesis. This arises from genetic linkage and association studies and other hypothesis testing problems. The maximum of optimal...

Ranked set sampling is a cost efficient sampling technique when actually measuring sampling units is difficult but ranking them is relatively easy. For a family of symmetric location-scale distributions with known location parameter, we consider a best linear unbiased estimator for the scale...

Through in-depth investigations and analyses of the Haier case, we enriched and developed further a new paradigm of innovation management—Total Innovation Management (TIM). The TIM framework and the synergistic relationship of the elements of innovation in the company’s innovation management...

Hidden population stratification (PS) is a main concern in the analysis of case-control genetic association studies. All methods to correct for hidden PS have been focused on classical hypothesis testing, and cannot be directly applied to Bayesian analysis. In this paper, to study the impact and...

Expressing the asymptotic Fisher information in Type II censored data in terms of the hazard function, we show that the factorization of the hazard function can be characterized by the linear property of the Fisher information under Type II censoring. Applying the result to the class of scale...

Case-control association studies using unrelated cases and controls may suffer from potential confounding due to population stratification. Bias and variance distortion caused by population stratification in the commonly used allele-based tests can considerably inflate the Type I error rate. It...