BHI Advisory Service
The department provides a BHI Advisory Service to staff and students, from all IoPPN departments free of charge. This service is intended to provide initial project advice and technical support with carrying out a research project.
Statistical support is provided in the following areas:
- Planning of study design and statistical analysis
- Sample size / power calculations
- Carrying out data description
- Carrying out formal data analysis
- Interpretation and presentation of results
- Queries by statistical referees
- Statistical software (SPSS, Stata, Amos, R, Mplus)
Health informatics offer consultancy and service collaboration in the following areas:
- Genomics data processing (eg genotyping QC and processing)
- Natural language processing (with a focus on electronic health records)
- Set up and hosting of RedCAP eCRFs,
- Mobile health (e.g. use of our open source mHealth platform RADAR-base.org)
All students planning a research project are encouraged to seek the advice of its academic staff. Permission must be obtained by MSc students from their project supervisors to attend this service.
MSc Students are limited to two 30 min appointments for the academic year. PhD/Staff are limited to three 30 min appointments a year, which may be booked in succession, if a longer appointment than 30 mins is required.
All bookings must be made at least 48hrs in advance. During busy periods, you may have to wait 2-3 weeks for an appointment. The Biostatistics & Health Informatics Department will not provide last minute assistance.
Terms and conditions: Failure to attend the BHI Advisory Service without sufficient notice, (2 working days) or a valid reason, will render you ineligible for future appointments with our BHI Advisory Service.
The BHI Advisory Service runs from Monday to Friday. For actual timings see the online booking site, by visiting Biostatistics and Health Informatics Advisory Service website.
Below are links to recorded presentations from the 5th ESRC Research Methods Festival (2nd-5th July 2012, Oxford):
> What is analytic induction?
> What are cohort studies?
> What are community studies?
> What is discourse analysis?
> What are electronic data collection methods?
> What is event history analysis?
> What is geosimulation?
> What is multilevel modelling?
> What is multimodality?
> What is narrative interviewing?
> What is online research?
> What is propensity score matching?
> What is the regression discontinuity approach?
> What is social network analysis?