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Exploration of WeChat platform for the learning of medical statistics in teaching practice |
Zhang Qi1,2, Du Zeyu3, Chen Yimin1, Zhu Shuming1, Lin Zhuochen1, Ge Qi1, Gu Jing1, Zhang Jinxin1. |
1 School of Public Health, Sun Yat-sen University, Guagnzhou 510080, China;
2 Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou 511442, China;
3 Xiangya School of Public Health, Central South University, Changsha 410078, China |
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Abstract Medical statistics is a discipline mainly focused on application. It is necessary for students to fulfill enough assignments in order to grasp the statistical theory well. If statistical software is used when they accomplish the assignments of medical statistics, they may pay more efforts on digesting and absorbing the special logics in statistics instead of only repeating what is taught in class. This will make them experience more on how to solve the practical questions by choosing proper and flexible statistical methods. Since the detailed definitions and options will cost too much time in class, it is not allowed to provide the complete instructions by the lecturer. The teaching team from Sun Yatsen University established a WeChat platform (yxjtx2015) for students majoring in medical sciences and medical researchers in order to help them to accomplish the statistical computations in the environment of SPSS and SAS, what′s more, to learn well the critical concepts in medical statistics, especially those correlated with important statistical techniques. We introduce the WeChat platform briefly in this article so as to bring convenience for a larger audience who will take medical statistics as tools in their own researches.
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Received: 03 May 2020
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