Published December 18, 2018 | Version 1.0.0
Dataset Open

Supporting Data: S3 Data for the Genetic Epidemiology paper: "Spinning convincing stories for both true and false association signals"

Creators

  • 1. Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States of America
  • 2. Departments of Epidemiology and Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States of America
  • 3. Departments of Human Genetics and Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States of America

Description

The 'S3 Data' set, part of the Supporting Information for the Genetic Epidemiology paper: "Spinning convincing stories for both true and false association signals" by Richard J. Biedrzycki, Ashley E. Sier, Dongjing Liu, Erika N. Dreikorn, and Daniel E. Weeks.

S3 Data. A zip file containing the set of information given to the annotators for the schizophrenia scan, the annotation summary sheets completed by each annotator, a csv file containing the scored data that were derived from the annotation sheets, and an R Markdown document containing the R commands used to carry out the analyses.

Notes

Acknowledgments This work is derived from Richard J. Biedrzycki's Master's Thesis, and we would like to thank Dr. John Shaffer and Dr. Wei Chen for their helpful comments and suggestions on the thesis. This work was supported by the University of Pittsburgh.

Files

S3_Data.zip

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