Loupe Copy

Module 3 Overview (1:07)

Loading...
来自 Johns Hopkins University 的课程
Statistics for Genomic Data Science
131 个评分
Johns Hopkins University

Statistics for Genomic Data Science

131 个评分
课程 7（共 8 门，Specialization 基因组数据科学）
从本节课中
Module 3
This week we will cover modeling non-continuous outcomes (like binary or count data), hypothesis testing, and multiple hypothesis testing.
Module 3 Overview (1:07)1:07
Logistic Regression (7:03)7:03
Regression for Counts (5:02)5:02
GLMs in R (9:28)9:28
Inference (4:18)4:18
Null and Alternative Hypotheses (4:45)4:45
Calculating Statistics (5:11)5:11
Comparing Models (7:08)7:08
Calculating Statistics in R9:46
Permutation (3:26)3:26
Permutation in R (3:33)3:33
P-values (6:04)6:01
Multiple Testing (8:25)8:25
P-values and Multiple Testing in R: Part A (5:58)5:58
P-values and Multiple Testing in R: Part B (4:23)4:23

与讲师见面

  • Jeff Leek, PhD
    Jeff Leek, PhD
    Associate Professor, Biostatistics
    Bloomberg School of Public Health

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。

Coursera 致力于普及全世界最好的教育，它与全球一流大学和机构合作提供在线课程。
© 2018 Coursera Inc. 保留所有权利。
通过 App Store 下载通过 Google Play 获取