Pleiotropic effects of a drug are actions other than that for which the agents were developed.These effects may be desired or undesired,and may be unrelated to their primary mechanism.Statins were designed as a drug for reducing cholesterol,but now pleiotropic effect are found including improvement of endothelial dysfunction,inhancement of eNOS bioavailability antioxide effect,antiinflammatory properties and reduction of hypertension.Understanding those effects is important for treatment and prevention of cardiovascular disease.

Two-factor factorial design refers to the research involving two experimental factors and the number of the experimental groups equals to the product of the levels of the two experimental factors. In other words, it is the complete combination of the levels of the two experimental factors. The research subjects are randomly divided into the experimental groups. The two experimental factors are performed on the subjects at the same time, meaning that there is no order. The two experimental factors are equal during statistical analysis, that is to say, there is no primary or secondary distinction, nor nested relation. This article introduces estimation of sample size and testing power of quantitative data with two-factor factorial design.

Aged ; Arrhythmias, Cardiac ; diagnosis ; physiopathology ; Coal Mining ; Electrocardiography ; Humans ; Male ; Middle Aged ; Pneumoconiosis ; complications ; physiopathology

According to the characteristics of the etiology and pathogenesis of child cerebral palsy, on the basis of "regulating the mind in treatment of all kinds of diseases" and "regulating the functions of five zang organs with back-shu points", Professor DONG Gui-rong applied the penetrating needling technique on the scalp points and acupuncture at back-shu points of five zang organs in the treatment of child cerebral palsy. The valuable clinical experiences have been summarized as "regulating the mind with scalp needling technique, benefiting the brain and opening the orifice", "regulating five zang organs with back-shu points" and "integration of acupuncture and rehabilitation, and function reconstruction". Two effective cases were introduced.
Acupuncture Points ; Acupuncture Therapy ; Cerebral Palsy ; therapy ; Child, Preschool ; Humans ; Male ; Treatment Outcome

This article introduces the definition and sample size estimation of three special tests (namely, non-inferiority test, equivalence test and superiority test) for qualitative data with the design of one factor with two levels having a binary response variable. Non-inferiority test refers to the research design of which the objective is to verify that the efficacy of the experimental drug is not clinically inferior to that of the positive control drug. Equivalence test refers to the research design of which the objective is to verify that the experimental drug and the control drug have clinically equivalent efficacy. Superiority test refers to the research design of which the objective is to verify that the efficacy of the experimental drug is clinically superior to that of the control drug. By specific examples, this article introduces formulas of sample size estimation for the three special tests, and their SAS realization in detail.

Sample size estimation is necessary for any experimental or survey research. An appropriate estimation of sample size based on known information and statistical knowledge is of great significance. This article introduces methods of sample size estimation of difference test for data with the design of one factor with two levels, including sample size estimation formulas and realization based on the formulas and the POWER procedure of SAS software for quantitative data and qualitative data with the design of one factor with two levels. In addition, this article presents examples for analysis, which will play a leading role for researchers to implement the repetition principle during the research design phase.

ABSTRACT: Estimation of sample size and testing power is an important component of research design. This article introduced methods for sample size and testing power estimation of difference test for quantitative and qualitative data with the single-group design, the paired design or the crossover design. To be specific, this article introduced formulas for sample size and testing power estimation of difference test for quantitative and qualitative data with the above three designs, the realization based on the formulas and the POWER procedure of SAS software and elaborated it with examples, which will benefit researchers for implementing the repetition principle.

The research subject is the first key element of the three key elements in the research design. An appropriate selection of research subjects is crucial to the success of the research. This article summarizes the general principles for the selection of research subjects, the types and numbers of research subjects and the common mistakes that researchers tend to make in the selection of the research subjects. This article also provides the methodology suggestions for the selection of research subjects.

This article introduces the general concepts and methods of sample size estimation and testing power analysis. It focuses on parametric methods of sample size estimation, including sample size estimation of estimating the population mean and the population probability. It also provides estimation formulas and introduces how to realize sample size estimation manually and by SAS software.