Applicants should possess a Master’s degree (1st Class) qualification from disciplines of Statistics, Pharmacy or Medicine, preferably from a UK University.
Applicants are requested to submit their CV and a one-page expression of interest statement on how their research interests aligns with big data analytics and geriatric Pharmacoepidemiology. The documents should be emailed to Dr Prasad Nishtala ([email protected]).
A formal application will be required if shortlisted.
1. Salahudeen MS, Nishtala PS. Examination and estimation of anticholinergic burden: Current Trends and Implications for Future Research. Drugs Aging. Accepted 2016.
2. Salahudeen MS, Hilmer SN, Nishtala PS. Comparison of anticholinergic risk scales and associations with adverse health outcomes in older people. Journal of American Geriatric Society, 2015; 63:85-90. [IF: 4.572]
3. Nishtala PS, Salahudeen MS, Hilmer SN. Anticholinergics: Theoretical and Clinical Overview, Expert Opinion in Drug Safety, 2016; 30:1-16.
4. Nishtala PS, Fois RA, McLachlan AJ, Bell JS, Kelly PJ, Chen TF. Anticholinergic activity of commonly prescribed medications and neuropsychiatric adverse events in older people. J. Clin. Pharmacol. 2009; 49; 1176-84.
5. Salahudeen MS, Duffull SB, Nishtala PS. Anticholinergic burden quantified by anticholinergic risk scales and adverse outcomes in older people: a systematic review. BMC Geriatrics, 2015; 15:31 [IF: 1.680]
FTE Category A staff submitted: 54.20
Research output data provided by the Research Excellence Framework (REF)Click here to see the results for all UK universities