1,555
edits
Changes
From Genome Analysis Wiki
Jump to navigationJump to searchBiostatistics 666: Power of Genomewide Association Studies (view source)
Revision as of 06:23, 9 November 2010
, 06:23, 9 November 2010Created page with '== Objective == This lecture discusses power calculations in the context of genomewide association studies. It also introduces the concept of two stage designs and the tradeoffs…'
== Objective ==
This lecture discusses power calculations in the context of genomewide association studies. It also introduces the concept of two stage designs and the tradeoffs between replication based and two stage analyses. The "Winner's Curse" makes a brief ''cameo'' appearance.
== Lecture Notes ==
[[666.2010.01.pdf|Slides in PDF Format]]
== Recommended Reading ==
Skol el al (2006) Joint analysis is more efficient than replication based analysis for two-stage genomewide association studies. ''Nature Genetics'' '''38''':209-13
This lecture discusses power calculations in the context of genomewide association studies. It also introduces the concept of two stage designs and the tradeoffs between replication based and two stage analyses. The "Winner's Curse" makes a brief ''cameo'' appearance.
== Lecture Notes ==
[[666.2010.01.pdf|Slides in PDF Format]]
== Recommended Reading ==
Skol el al (2006) Joint analysis is more efficient than replication based analysis for two-stage genomewide association studies. ''Nature Genetics'' '''38''':209-13
