Roos Malgorzata, Schatz Christine, Stawarczyk Bogna
Department of Biostatistics, Epidemiology Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland.
Department of Prosthodontics, Dental School, Ludwig-Maximilians-University Munich, Goethestrasse 70, 80336 Munich, Germany.
Materials (Basel). 2016 Jun 24;9(7):512. doi: 10.3390/ma9070512.
Zirconia as a restoration dental material are gaining attention because of their high mechanical properties and good biocompatibility. Therefore, investigation of the flexural strength of zirconia is of great interest. For this purpose, Weibull statistics for description of the material reliability are frequently used. The aim of this work was to present a blinded data set to two independent statisticians for two parallel statistical analyses in order to find an optimal statistical approach for analysis of in-vitro measured flexural strength data of zirconia materials. A prospectively planned independent blinded statistical analysis implementing three quality control actions "blinded data set", "independent statistical analyses" and "parallel manuscript writing" was designed. Statistical analysis paths taken by both biostatisticians differed. They arrived at complementary results. The major difference was caused by two alternative distributional assumptions (Weibull/Normal) and alternative fitting methods (LS/ML). The parallel statistical analysis and manuscript writing approach on a blinded data set greatly supported our choice of statistical methods for analysis of flexural strength results of zirconia materials.
氧化锆作为一种口腔修复材料,因其具有较高的机械性能和良好的生物相容性而备受关注。因此,对氧化锆抗弯强度的研究具有重要意义。为此,威布尔统计法常用于描述材料的可靠性。本研究的目的是向两位独立的统计学家提供一个盲态数据集,进行两项平行的统计分析,以便找到一种最佳的统计方法来分析氧化锆材料的体外抗弯强度数据。设计了一项前瞻性规划的独立盲态统计分析,实施三项质量控制措施:“盲态数据集”、“独立统计分析”和“平行撰写论文”。两位生物统计学家采用的统计分析路径不同。他们得出了互补的结果。主要差异是由两种替代分布假设(威布尔分布/正态分布)和替代拟合方法(最小二乘法/极大似然法)引起的。对盲态数据集进行平行统计分析和撰写论文的方法,极大地支持了我们对氧化锆材料抗弯强度结果分析统计方法的选择。