Journal of Biometrics & Biostatistics

Richard Charnigo

Publications

• Research Article
  Hypothesis Testing in Normal Admixture Models to Detect Heterogeneous Genetic Signals
  Author(s): Qian Fan, Richard Charnigo, Zohreh Talebizadeh and Hongying DaiQian Fan, Richard Charnigo, Zohreh Talebizadeh and Hongying Dai
  
  In this work we consider a three-component normal mixture model in which one component is known to have mean zero and the other two contaminating components have a nonnegative and a no positive mean respectively, while all three components share a common unknown variance parameter. One potential application of this model may be in prioritizing statistical scores obtained in biological experiments, including genetics data. Such a mixture model may be useful in describing the distribution of numerous Z test statistics corresponding to different genes or SNPs, such that a “significant” Z test statistic for a particular gene suggests its connection to a medical condition. More specifically, the inferences drawn from such a mixture model may be useful in a filtration algorithm to remove large subsets of genes or SNPs from consideration, thereby reducing the need for stringent a.. Read More»
  DOI: 10.4172/2155-6180.S12-005

  Abstract PDF