Dr Theo Pepler

  • Research Associate (Institute of Biodiversity Animal Health & Comparative Medicine)

Biography

I am an applied statistician based at the University of Glasgow. Most of my work is funded by the Scottish Government's Centre of Expertise on Animal Disease Outbreaks (EPIC).

My personal webpage has information on a number of my R software packages, as well as links to various statistical and computing resources.


Research interests

Most of my scientific research work is applied in nature, using statistical and simulation methods to investigate biological questions.

Within the EPIC research programme, I study how animal movements contribute to infectious disease spread. By combining epidemiological simulation models with observed animal movement data, we can identify the agricultural premises potentially playing key roles in future epidemic outbreaks. Knowledge of these key premises is helpful in planning surveillance and control strategies for infectious animal disease in Scotland.

I also work on a number of projects about the diagnosis of clinical and subclinical mastitis in dairy cows. We are evaluating different diagnostic measures, including on-farm bacterial culture, and machine learning models based on biomarker data. More accurate diagnosis of subclinical mastitis helps to identify animals that will benefit from treatment; treating only this subset of animals reduces antimicrobial usage without compromising animal welfare.

On the methodological side, I am most interested in multivariate statistical analysis (spectral decomposition, in particular) and nonparametric techniques.


Publications

List by: Type | Date

Jump to: 2019 | 2018 | 2017 | 2016 | 2014 | 2012
Number of items: 12.

2019

Malcata, F.B., Viora, L. , Pepler, P.T. and Zadoks, R.N. (2019) Comparison of two point-of-care tests to support treatment decision in non-severe bovine clinical mastitis. In: 2019 British Mastitis Conference, Worcester, UK, 6th November 2019,

Malcata, F.B., Viora, L. , Pepler, P.T. and Zadoks, R. N. (2019) Do point of care tests for bovine mastitis can reduce antimicrobial use without animal welfare loss? European Bovine Congress 2019, ‘s-Hertogenbosch, The Netherlands, 11-13 Sept 2019.

Viora, L. , O'Reilly, E. L., Brady, N., Pepler, T. , Zadoks, R. N. and Eckersall, P. D. (2019) New biomarkers for selective dry cow therapy. European Bovine Congress 2019, ‘s-Hertogenbosch, The Netherlands, 11-13 Sept 2019.

O'Reilly, E., Viora, L. , Brady, N., Pepler, T. , Zadoks, R. N. and Eckersall, D. P. (2019) Haptoglobin and α-Lactalbumin Biomarkers for Selective Dry Cow Therapy? 8th Edinburgh Infectious Diseases Annual Symposium, Edinburgh, UK, 5 Jun 2019.

O'Reilly, E., Viora, L. , Brady, N., Pepler, T. , Zadoks, R. N. and Eckersall, D. P. (2019) Haptoglobin and α-Lactalbumin Biomarkers for Selective Dry Cow Therapy? International Dairy Federation Mastitis Conference, Copenhagen, Denmark, 15-16 May 2019.

2018

Pepler, P.T. , Uys, D.W. and Nel, D.G. (2018) Regularised covariance matrix estimation under the common principal components model. Communications in Statistics: Simulation and Computation, 47(3), pp. 631-643. (doi: 10.1080/03610918.2015.1040499)

2017

Bester, R., Pepler, P. T. , Aldrich, D. J. and Maree, H. J. (2017) Harbin: a quantitation PCR analysis tool. Biotechnology Letters, 39(1), pp. 171-178. (doi: 10.1007/s10529-016-2221-1) (PMID:27695982)

Pepler, P.T. , Uys, D.W. and Nel, D.G. (2017) Discriminant analysis under the common principal components model. Communications in Statistics: Simulation and Computation, 46(6), pp. 4812-4827. (doi: 10.1080/03610918.2015.1134568)

2016

Pepler, P.T. , Uys, D.W. and Nel, D.G. (2016) A comparison of some methods for the selection of a common eigenvector model for the covariance matrices of two groups. Communications in Statistics: Simulation and Computation, 45(8), pp. 2917-2936. (doi: 10.1080/03610918.2014.932801)

2014

Bester, R., Pepler, P.T. , Burger, J.T. and Maree, H.J. (2014) Relative quantitation goes viral: an RT-qPCR assay for a grapevine virus. Journal of Virological Methods, 210, pp. 67-75. (doi: 10.1016/j.jviromet.2014.09.022) (PMID:25286180)

Hauser, N.D., Dyer, R.A., Pepler, P.T. and Rolfe, D.A. (2014) An observational audit of pain scores post-orthopaedic surgery at a level two state hospital in Cape Town. Southern African Journal of Anaesthesia and Analgesia, 20(2), pp. 110-116.

2012

Pepler, P.T. , Uys, D.W. and Nel, D.G. (2012) Predicting mortality and length-of-stay for neonatal admissions to private hospital neonatal intensive care units: a Southern African retrospective study. African Health Sciences, 12(2), pp. 166-173. (doi: 10.4314/ahs.v12i2.14) (PMID:23056023) (PMCID:PMC3462546)

This list was generated on Tue Feb 25 11:11:31 2020 GMT.
Number of items: 12.

Articles

Pepler, P.T. , Uys, D.W. and Nel, D.G. (2018) Regularised covariance matrix estimation under the common principal components model. Communications in Statistics: Simulation and Computation, 47(3), pp. 631-643. (doi: 10.1080/03610918.2015.1040499)

Bester, R., Pepler, P. T. , Aldrich, D. J. and Maree, H. J. (2017) Harbin: a quantitation PCR analysis tool. Biotechnology Letters, 39(1), pp. 171-178. (doi: 10.1007/s10529-016-2221-1) (PMID:27695982)

Pepler, P.T. , Uys, D.W. and Nel, D.G. (2017) Discriminant analysis under the common principal components model. Communications in Statistics: Simulation and Computation, 46(6), pp. 4812-4827. (doi: 10.1080/03610918.2015.1134568)

Pepler, P.T. , Uys, D.W. and Nel, D.G. (2016) A comparison of some methods for the selection of a common eigenvector model for the covariance matrices of two groups. Communications in Statistics: Simulation and Computation, 45(8), pp. 2917-2936. (doi: 10.1080/03610918.2014.932801)

Bester, R., Pepler, P.T. , Burger, J.T. and Maree, H.J. (2014) Relative quantitation goes viral: an RT-qPCR assay for a grapevine virus. Journal of Virological Methods, 210, pp. 67-75. (doi: 10.1016/j.jviromet.2014.09.022) (PMID:25286180)

Hauser, N.D., Dyer, R.A., Pepler, P.T. and Rolfe, D.A. (2014) An observational audit of pain scores post-orthopaedic surgery at a level two state hospital in Cape Town. Southern African Journal of Anaesthesia and Analgesia, 20(2), pp. 110-116.

Pepler, P.T. , Uys, D.W. and Nel, D.G. (2012) Predicting mortality and length-of-stay for neonatal admissions to private hospital neonatal intensive care units: a Southern African retrospective study. African Health Sciences, 12(2), pp. 166-173. (doi: 10.4314/ahs.v12i2.14) (PMID:23056023) (PMCID:PMC3462546)

Conference or Workshop Item

Malcata, F.B., Viora, L. , Pepler, P.T. and Zadoks, R. N. (2019) Do point of care tests for bovine mastitis can reduce antimicrobial use without animal welfare loss? European Bovine Congress 2019, ‘s-Hertogenbosch, The Netherlands, 11-13 Sept 2019.

Viora, L. , O'Reilly, E. L., Brady, N., Pepler, T. , Zadoks, R. N. and Eckersall, P. D. (2019) New biomarkers for selective dry cow therapy. European Bovine Congress 2019, ‘s-Hertogenbosch, The Netherlands, 11-13 Sept 2019.

O'Reilly, E., Viora, L. , Brady, N., Pepler, T. , Zadoks, R. N. and Eckersall, D. P. (2019) Haptoglobin and α-Lactalbumin Biomarkers for Selective Dry Cow Therapy? 8th Edinburgh Infectious Diseases Annual Symposium, Edinburgh, UK, 5 Jun 2019.

O'Reilly, E., Viora, L. , Brady, N., Pepler, T. , Zadoks, R. N. and Eckersall, D. P. (2019) Haptoglobin and α-Lactalbumin Biomarkers for Selective Dry Cow Therapy? International Dairy Federation Mastitis Conference, Copenhagen, Denmark, 15-16 May 2019.

Conference Proceedings

Malcata, F.B., Viora, L. , Pepler, P.T. and Zadoks, R.N. (2019) Comparison of two point-of-care tests to support treatment decision in non-severe bovine clinical mastitis. In: 2019 British Mastitis Conference, Worcester, UK, 6th November 2019,

This list was generated on Tue Feb 25 11:11:31 2020 GMT.

Grants

Grants and Awards listed are those received whilst working with the University of Glasgow.

  • Rapid, accurate, on-farm diagnosis and monitoring of mastitis in dairy cows
    Innovate UK
    2018 - 2020
     

Teaching

I teach the Statistics component of the Research Skills 2 course in the Veterinary Biosciences degree programme. It is an introduction to Statistics, using the R language for some practical work.