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QHAPIPF: Stata module to perform analysis of quantitative traits using regression and log-linear modelling when PHASE is unknown

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Adrian Mander ()

Additional information is available for the following registered author(s):

Abstract

This command models the relationship between a normally distributed continuous variable in a population-based random sample and individuals' haplotype. This command uses an EM algorithm to resolve haplotype phase. Covariates are constructed from the haplotype and used in a regression model. Additionally the EM algorithm also handles missing typings assuming MCAR.

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File URL: http://fmwww.bc.edu/repec/bocode/q/qhapipf.ado
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File Function: program code
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File URL: http://fmwww.bc.edu/repec/bocode/q/qhapipf.hlp
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File Function: help file
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File URL: http://fmwww.bc.edu/repec/bocode/q/qhapupdate.ado
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File Function: program code
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File URL: http://fmwww.bc.edu/repec/bocode/q/Qhapipf2.pdf
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File Function: program code
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S425502.

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Programming language: Stata
Requires: Stata version 7.0
Date of creation: 29 May 2003
Date of revision: 04 Sep 2009
Handle: RePEc:boc:bocode:s425502

Note: This module may be installed from within Stata by typing "ssc install qhapipf". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: haplotype analysis; EM algorithm; phase;

Statistics
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This page was last updated on 2010-1-4.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.