Analyses of large dental datasets using regression, structural equation modelling

Prof T Dietrich
Mr Praveen Sharma
Applications accepted all year round
Self-Funded PhD Students Only

School of Dentistry, University of Birmingham

About This PhD Project

Project Description
Funding Notes
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How good is research at University of Birmingham in Allied Health Professions, Dentistry, Nursing and Pharmacy

Project Description

A successful candidate will be supported in statistical analyses of large dental datasets. Analyses are likely to include:

1) Cross sectional data analyses using regression and structural equation modelling
2) Analyses of longitudinal datasets
3) Exploring links between oral and systemic diseases

Person Specification
Applicants should have a background in biomedical research, especially statistical analyses. Knowledge of dental research is recommended but not essential.

Informal enquiries should be directed to Prof T Dietrich [email protected]

To be considered for this studentship, please send the following documents to [email protected]:

• A detailed CV, including your nationality;
• Names and addresses of two referees;
• A covering letter highlighting your research experience/capabilities;
• Copies of your degree certificates with transcripts;
• Evidence of your proficiency in the English language, if applicable.

Funding Notes

We have a thriving international Researcher community and encourage applications from students of any nationality able to fund their own studies (i.e. through Government scholarship schemes, self-funding), or who wish to apply for their own funding (e.g. Commonwealth Scholarships, Islamic Development Bank International PhD Scholarships, China Scholarship Council, etc).

Related Subjects

How good is research at University of Birmingham in Allied Health Professions, Dentistry, Nursing and Pharmacy?

FTE Category A staff submitted: 15.90

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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Analyses of large dental datasets using regression, structural equation modelling

University of Birmingham

School of Dentistry

Birmingham