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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/biostatistics-2
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课程名称：数学生物统计训练营 2 概述：学习数据分析和统计推断的基本概念，重点研究一组和两组独立样本。 课程大纲： **第一部分：假设检验** 在这个模块中，将介绍假设检验，这是统计学的核心概念。我们将讨论基本的一组和两组设置下的假设检验，以及检验的功效。观看视频和完成作业后，请尝试做个测验。 **第二部分：两个二项分布** 本模块将讨论一些分析两个二项分布的方法，包括赔率比、相对风险和风险差异。主要关注置信区间的讨论，并将开发用于创建这些置信区间的增量法。 **第三部分：离散数据设置** 在此模块中，我们将讨论离散数据设置中的检验方法。这包括著名的费舍尔精确检验以及针对列联表数据的多种检验形式。您将学习一种广泛适用的“观察值减去预期值的平方除以预期值”的公式。 **第四部分：技术** 本模块包含一些重要技术的综合。包括离散配对数据的方法以及一些经典的非参数方法。 该课程旨在帮助您掌握生物统计的基本技能，以便在实际数据分析中应用所学知识。
Part: 1
Title:Hypothesis Testing
Description:In this module, you'll get an introduction to hypothesis testing, a core concept in statistics. We'll cover hypothesis testing for basic one and two group settings as well as power. After you've watched the videos and tried the homework, take a stab at the quiz.
Part: 2
Title:Two Binomials
Description:In this module we'll be covering some methods for looking at two binomials. This includes the odds ratio, relative risk and risk difference. We'll discussing mostly confidence intervals in this module and will develop the delta method, the tool used to create these confidence intervals. After you've watched the videos and tried the homework, take a crack at the quiz!
Part: 3
Title:Discrete Data Settings
Description:In this module, we'll discuss testing in discrete data settings. This includes the famous Fisher's exact test, as well as the many forms of tests for contingency table data. You'll learn the famous observed minus expected squared over the expected formula, that is broadly applicable.
Part: 4
Title:Techniques
Description:This module is a bit of a hodge podge of important techniques. It includes methods for discrete matched pairs data as well as some classical non-parametric methods.
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
