Mathematical Biostatistics Boot Camp 2

所在平台: CourseraArchive

课程类别: 统计和数据分析

大学或机构: Johns Hopkins University(约翰•霍普金斯大学)

授课老师： Brian Caffo

课程主页: https://www.coursera.org/course/biostats2

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课程简介

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

课程大纲

Hypothesis Testing
Power and sample size and two group tests
Tests for binomial proportions
Two sample binomial tests, delta method
Fisher's exact tests, Chi-squared tests
Simpson's paradox, confounding
Retrospective case-control studies, exact inference for the odds ratio
Methods for matched pairs, McNemar's, conditional versus marginal odds ratios
Non-parametric tests, permutation tests
Inference for Poisson counts
Multiplicity

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课程详情

This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able to summarize samples, perform relevant hypothesis tests and perform a collection of two sample comparisons. Classical non-parametric methods and discrete data analysis methods are discussed. The class is taught at a master's of biostatistics introductory level and requires Mathematical Biostatistics Boot Camp 1 as a prerequisite.

课程标签

假设检验概率概率统计生物统计学生物统计统计推断卡方检验 Fisher精确检验非参数检验数据分析约翰霍普金斯大学统计学 R R语言