Investigating Ordinal Logistic Regression as an alternative analysis approach in statistical applications

An opportunity to apply for a full-time PhD in the Faculty of the Environment and Technology, UWE Bristol. The studentship will be funded by the Engineering and Physical Sciences Research Council EPSRC:

Ref 2022-OCT-FET06

The expected start date of this studentship is 1 October 2022

The closing date for applications is 17 August 2022

UWE statistics has a history of successful PhD research in statistical methodology using Monte Carlo methods. Previous PhD research using Monte Carlo simulation include our work on randomisation to control Type I error rate in regression and the two-sample partially overlapping samples problem. Other ongoing research includes sample size determination for pilot studies. We now wish to apply similar Monte Carlo methods in the investigation of Ordinal Logistic Regression (OLR) models as competitor techniques to other existing analysis approaches. We wish to further extend an understanding of goodness-of-fit in logistic regression modelling and will propose new indicators of effect size. We wish to further consider the performance of an alternative rank based analysis of data.

The student will contribute new results to the analysis toolkit which will be of general applicability.

For an informal discussion about the studentship, please email Dr Andrew Smith or Professor Paul White

The studentship is available from 1 October 2022 for a period of four years, subject to satisfactory progress and includes a tax-exempt stipend, which is currently £16,062 per annum.

In addition, full-time tuition fees will be covered for up to four years.

Applicants must have a good first degree in Mathematical Sciences, equivalent to first or upper second-class honours. Ideally, applicants will have a Masters-level qualification (either postgraduate or undergraduate).

The studentship is only available to UK applicants.

A recognised English language qualification is required.

Please submit your application online. When prompted use the reference number 2022-OCT-FET06.

Submit your application

Supporting documentation

You will need to upload your research proposal, all degree certificates and transcripts and proof of English language proficiency as attachments to your application, so please have these available when you complete the application form.

References

You will need to provide details of two referees as part of your application.

The closing date for applications is 17 August 2022.

It is expected that interviews will take place on weeks commencing September. If you have not heard from us by October, we thank you for your application but on this occasion you have not been successful.