Kianap

Project Description:

Meta-Analysis is used to increase the statistical power of research studies. If two different case/control studies have M and N individuals, we can put them together to get an M+N individual study.
Many times individual studies will fail to show significance due to small population samples, but with Meta-Analysis significant associations can be obtained. Meta-Analysis is applicable to collections of research that produce quantitative results and are comparable given a research question.

About Me:

My name is Kiana Pourjanfeshan. I am an undergraduate Computer Science and Engineering student and I will be graduating in June. This is my last quarter at UCLA!

Goals:

My goals for the quarter are to learn more about genetics and how significant associations are obtained through statistical analysis. I would like to learn how certain SNPs are associated with certain diseases.
From the project I hope to learn about the various techniques used to analyze the statistical data.

Progress Report:

Results:

I found that Meta-Analysis does indeed increase the statistical power of association studies.

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