应用统计学

学分：6

本课程将讲述各种实用统计方法，并着重讲述统计学概念的可转换性。在不同领域探索表现出的共同特征推动了统计方法论的发展及在科学、工业和医疗等领域的应用。本课程将通过这些领域（包括快速发展的基因组学）的例题开展教学活动。体现可转换性的相关议题包括生存分析（该领域的部分数据值仅具有低界）、多因素模型和其他广义线性模型（适用于必须解释说明多个因素的影响时）、数据挖掘技术（适用于存在发现相关性的需求时）。最后一个重点是统计学设计的优秀研究活动的原理和成果。

在本课程结课时，学生应能够：

• 理解统计相关性

• 规划数据收集活动并正确分析数据

• 在各个学科领域理解并运用统计学

• 分析经审查的数据及多因素数据

• 理解基因组学和数据挖掘领域的统计应用。

Applied Statistics 应用统计学

Credits:6

This module introduces a wide range of applicable statistical techniques. A unifying theme is the transferability of statistical ideas. Common features shared by different fields of enquiry enable the development of statistical methodologies with applications throughout science, Industry and Medicine. Examples from such fields - including the rapidly developing area of Genomics - inform every aspect of the module.

Topics covered that exhibit this transferability will include survival analysis, in which there are only lower bounds on some data values; muliti factor and other generalized linear models, of use when the influences of many factors must be unravelled; data mining techniques, applying when it is desired to search out relationships; and, last but

certainly not least, the principles and consequences of good statistically designed studies.

By the end of this module, students should be able to:

• Understand statistical association;

• Plan data collection and analyse data appropriately;

• Appreciate the use of statistics in various subject areas;

• Analyse censored data and multi factor data;

• Appreciate statistical aspects in genomics and data mining.