Free Access
Hum Hered 2012;74:1–11
(DOI:10.1159/000342707)

Evaluation of a Bayesian Model Integration-Based Method for Censored Data

Hou L.a · Wang K.b · Bartlett C.W.a
aBattelle Center for Mathematical Medicine, The Research Institute at Nationwide Children’s Hospital and Department of Pediatrics, The Ohio State University, Columbus, Ohio, and bDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
email Corresponding Author


 goto top of outline Key Words

  • Quantitative trait threshold model
  • Censored data
  • Simulation
  • PPL framework
  • Bayesian model integration

 goto top of outline Abstract

Objective: Non-random missing data can adversely affect family-based linkage detection through loss of power and possible introduction of bias depending on how censoring is modeled. We examined the statistical properties of a previously proposed quantitative trait threshold (QTT) model developed for when censored data can be reasonably inferred to be beyond an unknown threshold. Methods: The QTT model is a Bayesian model integration approach implemented in the PPL framework that requires neither specification of the threshold nor imputation of the missing data. This model was evaluated under a range of simulated data sets and compared to other methods with missing data imputed. Results: Across the simulated conditions, the addition of a threshold parameter did not change the PPL’s properties relative to quantitative trait analysis on non-censored data except for a slight reduction in the average PPL as a reflection of the lowered information content due to censoring. This remained the case for non-normally distributed data and extreme sampling of pedigrees. Conclusions: Overall, the QTT model showed the smallest loss of linkage information relative to alternative approaches and therefore provides a unique analysis tool that obviates the need for ad hoc imputation of censored data in gene mapping studies.

Copyright © 2012 S. Karger AG, Basel


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 goto top of outline Author Contacts

Assist. Prof. Christopher W. Bartlett, PhD
Battelle Center for Mathematical Medicine, The Research Institute
Nationwide Children’s Hospital and The Ohio State University
JW3926, 700 Children’s Drive, Columbus, OH 43205 (USA)
E-Mail christopher.bartlett@nationwidechildrens.org


 goto top of outline Article Information

Received: September 1, 2011
Accepted after revision: August 15, 2012
Published online: September 26, 2012
Number of Print Pages : 11
Number of Figures : 5, Number of Tables : 1, Number of References : 33


 goto top of outline Publication Details

Human Heredity (International Journal of Human and Medical Genetics)

Vol. 74, No. 1, Year 2012 (Cover Date: November 2012)

Journal Editor: Devoto M. (Philadelphia, Pa./Rome)
ISSN: 0001-5652 (Print), eISSN: 1423-0062 (Online)

For additional information: http://www.karger.com/HHE


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