Using statistical programming to make data analysis more efficient
At the Centre for Statistics in Medicine (CSM), I analyse data for interim and final reports using statistical methods like longitudinal and survival analysis. I assist in the design and set up of clinical research projects within a multidisciplinary team, prepare statistical analysis plans, and provide written statistical input into protocols. My favourite part of my job is developing statistical programs in R and STATA to deal with data issues more easily and efficiently.
Currently, I get involved in projects UK-TAVI, OCTOVA, HUSH, ELAD, NKP1 and BOSS.
I have a longstanding interest in clinical trials, beginning with my Master’s thesis work on the application of random effects Markov model on a clinical trial, supervised by Prof Farid Zayeri. I previously worked as a medical statistician at a large pharmaceutical company in Iran, supporting all phases of clinical trials to collect data on the safety and efficacy of biosimilar drugs.
I also have research experience in public health and national-level projects, such as the burden of disease in Iran, from my time at the Non-Communicable Diseases Research Centre of the Institute of Endocrinology and Metabolism, Tehran University of Medical Sciences.
I have a BSc in Statistics from the Isfahan University of Technology and an MSc in Biostatistics from the Shahid-Beheshti University of Medical Sciences in Iran, graduating second in my class.
After gaining valuable research experience in Iran, I left my home country in January 2019 and joined CSM to focus on international research.
Randomised Phase II Trial of Olaparib, chemotherapy, or Olaparib and Cediranib in patients with platinum-resistant ovarian cancer (OCTOVA): a study protocol
MANSOURI A. et al, (2020), Bmj open
Virdee PS. et al, (2020), Cancers (basel), 12
National and Sub-National Pediatric Cancer Mortality in Iran, 2000–2015
Rezaei N. et al, (2019), Archives of iranian medicine
Sadeghian F. et al, (2019), Burns, 45, 228 - 240
Mohammadi Y. et al, (2017), The lancet global health, 5, e537 - e544