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Mendeley readers
Chapter title |
Single Marker Association Analysis for Unrelated Samples
|
---|---|
Chapter number | 18 |
Book title |
Statistical Human Genetics
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Published in |
Methods in molecular biology, January 2017
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DOI | 10.1007/978-1-4939-7274-6_18 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7273-9, 978-1-4939-7274-6
|
Authors |
Gang Zheng, Ao Yuan, Qizhai Li, Joseph L. Gastwirth |
Abstract |
Methods for single marker association analysis are presented for binary and quantitative traits. For a binary trait, we focus on the analysis of retrospective case-control data using Pearson's chi-squared test, the trend test and a robust test. For a continuous trait, typical methods are based on a linear regression model or the analysis of variance. We illustrate how these tests can be applied using a publicly available R package "Rassoc" and some existing R functions. Guidelines for single-marker analysis are provided. |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 40% |
Professor | 1 | 20% |
Student > Master | 1 | 20% |
Unknown | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 40% |
Economics, Econometrics and Finance | 1 | 20% |
Medicine and Dentistry | 1 | 20% |
Unknown | 1 | 20% |