About Us

Epilytics a epidemiology consulting group that specializes in all areas of epidemiology and data analysis with a focus on questions on Causal Inference and Causation. In particular we specialize in assessing the validity of epidemiologic studies with respect to their strength and whether they meet the scientific ‘Bar’ in litigation (Daubert) using a unique Daubert assessment tool.

We are a team of scientists which includes epidemiologists, biostatisticians, statistical modellers and data analysists with extensive experience in tackling the most complex epidemiological questions. The group is led by Mahyar Etminan an epidemiologist and clinical pharmacologist with over 180 publications in high ranked medical and special journals such as JAMA, BMJ, Chest, JACC, JAMA Ophthalmology, Lancet Public Health, Lancet Neurology, Gastroenterology among others. He has also collaborated and published on a number of novel epidemiological concepts in the area of causal inference and bias related to this area published in premier Epidemiology journals such as the International Journal of Epidemiology.

Epilytics is led by Dr. Mahyar Etminan an epidemiologist with special interest in the area of drug safety and causal inference. He has worked in the past with drug regulatory agencies such as the FDA and Health Canada on a number of important drug safety questions most notably on different adverse events with oral fluoroquinolone antibiotics.

Services

What we Do

Analysis of complex epidemiological studies

Science for litigation

Systemtiac reviews meta-analysis and

Publications

Etminan M, Gill S, Samii A. (2003).

Non-steroidal anti-inflammatory drug use and the risk of Alzheimer’s disease:

A systematic review and meta-analysis of observational studies. BMJ 327:128-133.
Etminan M, Forooghian F, Brophy JM, Bird S, Maberley D. (2012).

Oral Fluoroquinolones and risk of retinal detachment.

JAMA 307:1414-1419.
Bird ST, Delaney JAC, Brophy JM, Etminan M, Skeldon SC, Hartzema AG.

Tamsulosin treatment for benign prostatic hyperplasia and risk of severe hypotension in men aged 40-85 years in the United States:

Risk Window Analyses using between and within patient methodology. The BMJ 2013;347.
Brubacher JR, Chan H, Etminan M et al (2021).

Medications and collision risk: A population-based responsibility analysis.

Lancet Public Health. 6(6):e374-e385.
Etminan M, Collins GS, Mansournia MA (2020).

Using causal diagrams to improve the design and interpretation of medical research.

Chest. 158(1S):S21-S28.
Mansournia MA, Nazemipour M, Etminan M.

Causal Diagrams for immortal time bias. Int J Epidemiol 2021.