When: Thursday 12th October 2017, 13:00-14:00.
Included in meeting:
This week we have Trish and Shovanur presenting at our meeting. Details on their presentations are included below.
Trish’s talk: Methods for modelling multivariate longitudinal data from small heterogeneous samples, applied to childhood disability.
Abstract: I am investigating methods for modelling developmental milestones of children with rare and heterogeneous disabilities, to identify whether there are groups of children who deviate from the norm of development in similar ways. Identifying when this deviation occurs for subgroups of children could lead to earlier diagnosis and intervention. In this talk I will describe my research problem which involves clustering of small heterogeneous samples, temporal dependency and dependency between outcomes. In addition I will present one of the statistical methods I have been exploring for modelling mixtures of multivariate longitudinal data, namely, covariance pattern mixture models , and discuss the results of a preliminary model using this method.”
Shovanur’s talk: Assessing the accuracy of individual matched record using Markov Chain based Monte Carlo simulation method
Abstract: Record linkage is the process of finding matches and linking records from one or more data sources such that the linked records represent the same entity. There is an increasing number of applications of record linkage in statistical, health, government and business organisations to link administrative, survey, population census and other files to create a complete set of information for more complete and comprehensive analysis. Ensuring that the matched records in the combined file actually correspond to the same individual or entity is crucial for the validity of any analyses and inferences based on the combined data. In this talk, I will describe record linkage method and will explain the reseach method to be followed for assessing the accuracy of matched record using two small data sets.”
We look forward to seeing you there!
Matt and Shovanur