Introduction: Normality is one of the most important assumptions for parametric test and models.Numerous normality tests were developed for different conditions but most of them have low power in that
Clinical prediction model are getting more and more in the medical literature yet their use in practice seems limited.Health and care management will vary with situation,location,and institution.Its i
Identifying important biomarkers that are predictive for cancer patients prognosis is key in gaining better insights into the biological influences on the disease and has become a critical component o
Estimation of the effect of a treatment in the presence of unmeasured confounding is a common objective in observational studies.The Two Stage Least Squares(2SLS)Instrumental Variables(IV)procedure is
Along the ever increasing data size and model complexity,an important challenge frequently encountered in constructing new estimators or in implementing a classical one such as the maximum likelihood
In the AGEMAP genomics study,researchers were interested in detecting genes related to age in a variety of tissue types.After not finding many age-related genes in some of the analyzed tissue types,th