Was vernünftig ist, das ist wirklich; und was wirklich ist, das ist vernünftig. (G.W.F. Hegel)

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Let the residuals tell the actual story!

• Location: B 73, CHICAS, Lancaster Medical School, Faculty of Health and Medicine,
                Furness College, Lancaster University, Lancaster, LA1 4YG, United Kingdom.

• Tel: +44 (0) 1524 - 593519

• E-mail: o.asar at lancaster.ac.uk (preferred) or ozgurasar at yahoo.com

I am a first year PhD student (started in October 1, 2012) in CHICAS, Lancaster Medical School. I am studying on a Statistics and Epidemiology PhD, with Prof. Peter Diggle. In my first year, I have concentrated on longitudinal and survival statistical methods, with applications in the biomedical and health sciences. My studies are financially supported by a full time research studentship at the overseas level, based on the Health e-Research Centre (HeRC) funded by the Medical Research Council (MRC), UK.

Prior to my PhD studies, I obtained an MSc degree (in July 20, 2012) in Statistics from the Department of Statistics of Middle East Technical University, Turkey. I spent three years in this place as a research and teaching assistant (September 2, 2009 - October 30, 2012).

• Analyses of longitudinal, survival, time series, spatial and spatio-temporal data
• Exploratory data analysis, diagnostic tools and model selection
• Statistical computing in R (see the information for my R packages below)
• Statistics for epidemiology, e.g., developing dynamic time series models for real time monitoring of acute kidney injury
• Philosophy, probability and statistics

• Journal Articles
• Accepted - Published

1. Dağ, O., Asar, Ö., İlk, Ö. (2013). A methodology to implement Box-Cox transformation when no covariate is available. To appear in Communications in Statistics - Simulation and Computation.
2. Asar, Ö., İlk, Ö., Sezer, A. D. (2012). Probit normal maginalized transition random effects models. Tentatively accepted.
• Submitted

1. Asar, Ö., Dağ, O., İlk, Ö. (2012). Estimating Box-Cox power transformation parameter via goodness of fit tests. Under review.
2. Asar, Ö., İlk, Ö. (2012). Forecasting multivariate longitudinal binary data. Under review.
3. Asar, Ö., İlk, Ö. (2012). mmm: an R package for multivariate marginal models. Under review.
4. Asar, Ö., İlk, Ö. (2012). Multivariate marginal models with shared regression parameters. Under review.

• Theses
1. Asar, Ö. (2012). On multivariate longitudinal binary data models and their applications in forecasting. MS thesis.
2. Asar, Ö. (2015, expected). Longitudinal and survival statistical methods, with applications in the biomedical and health sciences. PhD thesis.

1. Asar, Ö., İlk, Ö. (2012). OOmisc: Ozgur-Ozlem miscellaneous. R package version 1.2. CRAN link
2. Asar, Ö., İlk, Ö. (2012). mmm: multivariate marginal models. R package version 1.2. CRAN link
3. Asar, Ö., İlk, Ö. (2012). mmm2: multivariate marginal models with shared regression parameters. R package version 1.1. CRAN link
4. Asar, Ö., İlk, Ö. (2012). pnmtrem: an R package for probit normal marginalized transition random effects models. R package version 1.2. CRAN link
5. Dağ, O., Asar, Ö., İlk, Ö. (2012). AID: an R package to estimate Box-Cox power transformation parameter. R package version 1.1. CRAN link

NOTE: These packages are available for academic purposes only, with a proper citation. This means strictly that commercial use is NOT allowed.

1. Asar, Ö., İlk, Ö. (2012). Analysis of multivariate longitudinal binary data: a forecasting study. 8th World Congress in Probability and Statistics, pp. 172, 9-14 July, Istanbul, Turkey.
2. Asar, Ö., İlk, Ö. (2012). Multivariate marginal models for correlated data. 8th World Congress in Probability and Statistics, pp.170, 9-14 July, Istanbul, Turkey.
3. Dağ, O., Asar, Ö., İlk, Ö. (2012). A methodology to implement Box-Cox transformation when no covariate is available. 8th World Congress in Probability and Statistics, pp. 180, 9-14 July, Istanbul, Turkey.
4. İlk, Ö., Asar, Ö. (2011) Computational ease on marginalized models for multivariate longitudinal binary data via probit link. 4th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM'11), pp. 75, 17-19 December, Senate House, University of London, UK.
5. Asar, Ö., İlk, Ö. (2011). Forecasting multivariate longitudinal binary data. 6th Eastern-Mediterranean Region-International Biometrics Society (EMR-IBS) Conference, pp. 39, 8-12 May, Crete, Greece.

• The International Biometric Society - Eastern Mediterranean & British and Irish Regions
• Bernoulli Society
• The Institute of Mathematical Statistics
• The International Statistical Institute

A short version of my CV could be looked at here for more deteails regarding my academic history.

Acknowledgement: I prepared my CV by adapting the format of the one for which the .tex document is available at this link.

Personal Interests

Writing, cinema, literature, music, philosophy, nature, trekking, camping, fishing ...

Last modified: 26 February, 2013