The basic question of interest is whether it is possible to detect at an early stage a failure to thrive in infants by examining the individual child's growth curve and relating the curve to national standards and the child's growth history. The work is in collaboration with Dr Rob Drewett of the Psychology department, and Dr Charlotte Wright, a paediatrician at the University of Newcastle. The statistics of mental health and learning disability. This research, which arose initially from internal consultancy, is collaborative with my colleague Pauline Coolen-Schrijner and with John Carpenter and Justine Schneider of the Centre for Applied Social Studies, University of Durham, and social scientists elsewhere. This research concerns several explorations and assessments of data relating to potential policy decisions affecting the care of people with mental health or learning disability problems.
Several papers presenting the results of the research are in submission.
Applying Bayes linear methodology to software testing. This work concerns a major research study in collaboration with British Telecommunications Plc and statisticians and computer scientists at the University of Durham. The basic aim of the work is to arrive at an improved statistical methodology for treating software testing, exploiting the expertise of BT staff, in order to arrive at even more reliable software, more quickly and more cheaply than current methods allow. Bayesian graphical modelling for software testing. In revision for IEEE Transactions on Software Engineering.