Applications of binary segmentation to the estimation of quantal response curves and spatial intensity

Biom J. 2005 Aug;47(4):489-501. doi: 10.1002/bimj.200310136.


This paper explores the use of binary segmentation procedures in two applications. The first application is concerned with the estimation of nonparametric quantal response curves. With Bernoulli data and an assumed monotone increasing curve, this gives rise a change-point model where the change points are determined using a sequence of nested hypothesis tests of whether a change point exists. The second application concerns cluster identification and inference for spatial data where the shape of the clusters and the number of clusters is unknown. The procedure involves a sequence of nested hypothesis tests of a single cluster versus a pair of distinct clusters. Examples of both applications are provided.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cluster Analysis*
  • Computer Simulation
  • Data Interpretation, Statistical*
  • Diagnosis, Computer-Assisted / methods*
  • Geography / methods*
  • Models, Biological*
  • Models, Statistical*
  • Pattern Recognition, Automated / methods*