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Biomedical subjects

Dezhong Xu

Publications and source records attributed to Dezhong Xu.

2 recordsLinked to original sources

A generic minimization random allocation and blinding system on web.

BACKGROUND: Minimization is a dynamic randomization method for clinical trials. Although recommended by many researchers, the utilization of minimization has been seldom reported in randomized trials mainly because of the controversy surrounding the validity of conventional analyses and its complexity in implementation. However, both the statistical and clinical validity of minimization were demonstrated in recent studies. Minimization random allocation system integrated with blinding function that could facilitate the implementation of this method in general clinical trials has not been reported. SYSTEM OVERVIEW: The system is a web-based random allocation system using Pocock and Simon minimization method. It also supports multiple treatment arms within a trial, multiple simultaneous trials, and blinding without further programming. METHODS: This system was constructed with generic database schema design method, Pocock and Simon minimization method and blinding method. It was coded with Microsoft Visual Basic and Active Server Pages (ASP) programming languages. And all dataset were managed with a Microsoft SQL Server database. Some critical programming codes were also provided. SIMULATIONS AND RESULTS: Two clinical trials were simulated simultaneously to test the system's applicability. Not only balanced groups but also blinded allocation results were achieved in both trials. DISCUSSIONS AND CONCLUSIONS: Practical considerations for minimization method, the benefits, general applicability and drawbacks of the technique implemented in this system are discussed. Promising features of the proposed system are also summarized.

Clinical Trials as Topic↗

[Relationship of dengue fever epidemic to aedes density changed by climate factors in Guangdong Province].

In order to explore and quantify the relation between probability of dengue episode and aedes density, and climate factors, and also, to provide scientific approach for prevention and supervision of dengue fever, data on dengue fever cases, aedes vector's supervision and climate factors such as average air temperature, lowest air temperature, highest air temperature, sunlight, rainfall and relative humidity were collected and, were analyzed by correlation analysis, stepwise regression and logistic regression method. The results showed that the logistic regression equation: p (1) = 1/[1 + e-(-7.750 + 0.391 BI)], indicating that meteorology parameter correlating with breteau index(BI) were rainfall, sunlight, average air temperature, lowest average air temperature and relative humidity; by stepwise regression analysis, the regression equation: viz.: YBI = 24.800 + 0.826 X1 + 0.020 X2 - 0.418X3, X1 representing lowest average air temperature, and X2 representing rainfall and X3 representing relative humidity. It is suggested that the influence of climate factor on vector aedes density is complicated. But its primary influence factors are lowest average air temperature, rainfall and relative humidity. The primary influence factors of dengue episode are breteau index.

Aedes↗