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.
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.
The trend of burn mortality in Iran — A study of fire, heat and hot substance-related fatal injuries from 1990 to 2015
Sadeghian F. et al, (2019), Burns, 45, 228 - 240
Measuring Iran's success in achieving Millennium Development Goal 4: a systematic analysis of under-5 mortality at national and subnational levels from 1990 to 2015
Mohammadi Y. et al, (2017), The lancet global health, 5, e537 - e544
Evaluation of the Trends of Stomach Cancer Incidence in Districts of Iran from 2000-2010: Application of a Random Effects Markov Model
Zayeri F. et al, (2016), Asian pacific journal of cancer prevention, 17, 661 - 665
High fasting plasma glucose mortality effect: A comparative risk assessment in 25-64 years old Iranian population
Farzadfar F. et al, (2016), International journal of preventive medicine, 7, 75 - 75
Clustering Asian and North African Countries According to Trend of Colon and Rectum Cancer Mortality Rates: an Application of Growth Mixture Models
Zayeri F. et al, (2015), Asian pacific journal of cancer prevention, 16, 4115 - 4121