|Job Title||Supervisor, Data Management|
|Date of Scholarship||May-July 2010|
|Host Country||London, UK|
|Scholarship||Affiliate Academic Programme, UCL HIV Epidemiology and Biostatistics Group|
ADVANCED METHODS OF DATA ANALYSIS
The objectives of the programme included:
- To acquire advanced data-analysis skills necessary to analyse the results of this CORE research project and to work on more complex HIV data analyses in the future.
- To create programmes in stata software. This will be used to analyse the final CORE study data.
- To create a working collaboration with statistics colleagues and possibly between our organisations.
My programme started with an opportunity to participate in a one week workshop on methodological and statistical issues in HIV clinical research and to participate in a departmental academic seminar which revised the theory I learned in school. Thereafter, my work plan for the three months was prepared and discussed with my contact.
Work progress was very interactive between my mentor and me. She provided quick feedback and guidance on the work and we discussed any concerns I had. All resources including books and library access were made available to me.
With the supervision of my mentor, I developed programmes that will be used to perform the final analysis of the operations research study on my return to Cameroon. I developed a draft of the article based on preliminary data which will be improved for publication. I was also able to lead in the development of a poster from the preliminary data that was presented at Vienna IAS in July 2010.
I am returning to Cameroon feeling confident to continue and complete work on the research analysis. In addition, my contact and other colleagues at UCL are willing to continue to support me in my work through ongoing communication. Although no formal collaboration exists between our institutions, a work relationship has been established between us and the staff of UCL HIV Epidemiology and Biostatistics Unit is welcoming and very friendly.
I am appreciative of the sponsorship from the HIV Research Trust and thankful to the staff of UCL HIV Epidemiology and Biostatistics Unit who paid close attention to my work and guided me.