A new statistic to evaluate imputation reliability

Authors

Peng Lin, Washington University School of Medicine in St. Louis
Sarah M. Hartz, Washington University School of Medicine in St. LouisFollow
Zhehao Zhang, Washington University School of Medicine in St. Louis
Scott F. Saccone, Washington University School of Medicine in St. Louis
Jia Wang, Washington University School of Medicine in St. Louis
Jay A. Tischfield, Rutgers University - New Brunswick/Piscataway
Howard J. Edenberg, Indiana University School of Medicine, IndianapolisFollow
John R. Kramer, University of Iowa School of Medicine, Iowa CityFollow
Alison M. Goate, Washington University School of Medicine in St. LouisFollow
Laura J. Bierut, Washington University School of Medicine in St. LouisFollow
John P. Rice, Washington University School of Medicine in St. Louis
COGA Collaborators COGEND Collaborators, Geneva

Journal

PLoS One

Publication Date

2010

Volume

5

Issue

3

Inclusive Pages

e9697

Document Type

Open Access Publication

DOI

10.1371/journal.pone.0009697

Rights and Permissions

Lin P, Hartz SM, Zhang Z, Saccone SF, Wang J, et al. (2010) A New Statistic to Evaluate Imputation Reliability. PLoS ONE 5(3): e9697. doi:10.1371/journal.pone.0009697

Recommended Citation

Lin, Peng; Hartz, Sarah M.; Zhang, Zhehao; Saccone, Scott F.; Wang, Jia; Tischfield, Jay A.; Edenberg, Howard J.; Kramer, John R.; Goate, Alison M.; Bierut, Laura J.; Rice, John P.; and COGA Collaborators COGEND Collaborators, "A new statistic to evaluate imputation reliability." PLoS One. 5, 3. e9697. (2010).
https://digitalcommons.wustl.edu/open_access_pubs/1034