Dr Rasiah Thayakaran BSc, MSc, PhD

Dr Rasiah Thayakaran

Institute of Applied Health Research
Research Fellow in Health Informatics (Statistics)

Contact details

Address
IOEM Building
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Thayakaran (Thaya) is a Research Fellow in Health Informatics (Statistics) in the Institute of Applied Health Research, University of Birmingham.

His research focuses on propensity score matching for observational data and on survival analysis using extended Cox proportional hazard model with time varying covariates. Also his research interests have focused recently on methods for dealing with missing data using single/multiple imputation.

Researchgate

Linkedin

Qualifications

  • PhD in Statistics from the University of Greenwich in 2014
  • MSc in Biometry from the University of Reading in 2010
  • BSc in Statistics from the University of Jaffna in 2002.

Biography

Dr RasiahThayakaran (Thaya) is Research Fellow in Health Informatics (Statistics) in the Institute of Applied Health Research, University of Birmingham. 

Previously,Thaya was an Instructor in the Department of Mathematics and Statistics, University of Jaffna, Sri Lanka (From 2002 to 2006). He was a Part Time Lecturer in the Department of Mathematical Sciences, University of Greenwich (From September 2011 to June 2014). Thaya was a Research Associate in the School of Mathematics, Statistics and Physics, Newcastle University (From July 2014 to March 2016). He was a Lecturer in Health Statistics in the Lancashire Clinical Trials Unit, University of Central Lancashire (From April 2016 to June 2017).

Research

Thaya’s research interests are primarily in the area of Statistics with particular focuses on stochastic models of rainfall,Statistics for Applied Health research and community detection using graphs with a focus on Social Media applications.

Research groups and centres

Institute of Applied Health Research 

Publications

Thayakaran R, Ramesh NI. "Doubly stochastic Poisson pulse model for fine-scale rainfall." Stochastic Environmental Research and Risk Assessment (2016): 1-20

Thayakaran R, Ramesh NI. 2012, "Multivariate models for rainfall based on Markov modulated Poisson processes", Hydrology Research In Press, doi:10.2166/nh.2012.180.

Ramesh NI , Thayakaran R,Onof C. 2012, "Multi-site doubly stochastic Poisson process models for fine-scale rainfall" Stochastic Environmental Research and Risk Assessment (2012): 1-14.

Thayakaran R, Ramesh NI.  2013, "Markov modulated Poisson process models incorporating covariates for rainfall intensity", Water Science & Technology 67.8 (2013): 1786-1792.

Thayakaran R, Ramesh NI. 2012, "The Markov Modulated Poisson Process Models for Rainfall with Covariate Information", 13th International Conference on Econometrics, Operations Research and Statistics, ICEOS-2012, Famagusta – Northern Cyprus.

Ramesh NI, Thayakaran R. 2012, "Stochastic point process model for fine-scale rainfall time series", Proceedings, 2nd Stochastic Modeling Techniques and Data Analysis International Conference 5 - 8 June 2012 Chania Crete Greece.

Conferences

A simple Pulse Model for fine scale Rainfall based on a two state Markov Modulated Poisson Process at the Young Statisticians' Meeting (YSM2013, 4 -5, July, 2013), Imperial College, London, UK

The Markov Modulated Poisson Process Models for Rainfall with Covariate Information at the 13th International conference on Econometrics, Operations Research and Statistics (24 – 26, May, 2012), Northern Cyprus.

A Multivariate Markov Modulated Poisson Process for Rainfall intensity at the International conference (Applied Statistics, 25 -28, September, 2011), Slovenia.

Social Network Analysis for Geo-located Social Media Data at the Young Statisticians' Meeting (YSM2016, 17 -19, August, 2016), University College London (UCL), UK