Anat Reiner-Benaim
Welcome to the Biostatistics and Biomedical Data Science Lab @BGU!
Our lab investigates diverse topics in epidemiology and medicine, focusing on pressing health issues that can benefit from large-scale data analysis. We leverage these data to enhance predictive accuracy and strengthen statistical power.
We currently hold several research focuses, including antimicrobial resistance, cognitive decline, and diabetes. We study various topics related to disease complications, disease management, and response to medications. We tackle a broad range of other clinical and epidemiologic disciplines, including COVID-19, environment and climate, nutrition and bariatrics, obstetrics and gynecology, cancer, dermatology, nephrology, and cardiology.
Our analysis combines data science algorithmics with cutting-edge methodologies in statistical modeling and causal perspective, while employing techniques such as stepwise model selection, multiple imputation, data calibration, bootstrap estimation and multiple testing adjustment.
We base our studies mainly on large-scale medical records databases of hospitalizations and clinic visits, that integrate a variety of data domains such as demographics, diagnoses, laboratory results, comorbidities, treatments and medical procedures. We also use genomics data and temporal monitoring data such as EEG.
Most of our data originates from Israeli databases of health maintenance organizations (HMO) such as Clalit and Maccabi, national databases such as Timna and Kineret, and hospitals such as Soroka, Rambam and Assuta Ashdod. We also use data from American databases, including REGARDS and MIMIC.
The lab hosts Master's and PhD students, mostly from the MD-MPH program and the Medical Data Science program in Epidemiology. We also have students under joint supervision with other departments.
Lab Members
Principal Investigator
Dr. Anat Reiner-Benaim, PhD
PhD Students
Or Dagan
PhD Epidemiology
Adverse effects of biologic treatments in patients with Hidradenitis Suppurativa
Gali Danieli
PhD Epidemiology
Type 2 diabetes mellitus clusters based on clinical characteristics and their association with diabetes complications among patients with diabetes in the Negev population
Hadar Tiran MorYosef
PhD Epidemiology
Treatment and mediator effect in cardiovascular disease outcomes
Master students
Shaden abu-Akel
MD-MPH
Risk factors and predictive score for developing atrial fibrillation
Worod Alatamin
M.Med.Sc Epidemiology - Medical Data Science
Predictive analysis of geographic disparities
in diagnosis of cognitive decline and use of health services
Basil Alsana
MD-MPH
Predisposing factors and prediction of Multiple Tympanostomy Tube Insertions
Noya Aviv
M.Med.Sc Epidemiology - Medical Data Science
Effectiveness of Anti-obesity medications in real-world practice
Gili Hochner
MSc. Industrial Engineering and Management – Data Science
Assessing the causal effects of interventions in predicting cognitive decline among individuals with type 2 diabetes
Ilan Libes
MD-MPH
The association of Gilbert Syndrome with autoimmune diseases
Benjamin Pevzin
M.Med.Sc Epidemiology - Medical Data Science
Development of a predictive model for detecting malnutrition
in older adults within primary community care
Mishel Raishevich
M.Med.Sc Epidemiology - Medical Data Science
Climatic and host determinants of superficial fungal infections
Zohar Sharon
MD-MPH
Using imaging and echocardiography
to predict complications of atrial fibrillation
Moran Yosupov
MD-MPH
Recurrent Urinary Tract Infections
and the risk of developing genitourinary cancer
Zaid Zaid
MD-MPH
Risk factors for revision of functional endoscopic sinus surgery among chronic rhinosinusitis patients with nasal polyps
Past students
Hadas Elgarisi
MD-MPH, 2026
Aminoglycosides: Drug level monitoring and renal toxicity
Shahaf Daffa
MD-MPH, 2025
The relationship between biological treatments and cancer incidence in psoriasis patients
Liel Malka
MD-MPH, 2025
Respiratory consequences of long COVID
in the different waves of the pandemic
Itay Pansky
MD-MPH, 2025
Social disparities in the treatment and outcomes
of patients with atrial fibrillation in Israel
Adi Yariv
MD-MPH, 2025
The association between nutritional deficiency and SARS-CoV-2 complications among post-bariatric surgery patients
Neta Zeltzer
M.Med.Sc Epidemiology – Biostatistics, 2025
Developing an early predictive index for cognitive decline
among type 2 diabetes patients
Chen Zochovitzki
MD-MPH, 2025
Combining clinical factors and multi-omics data
to predict obstetric syndromes
Lior Abulaf
MD final project, 2024
Predictors of adherence to treatment and disease management
among individuals with type 2 diabetes mellitus
Oshri Bar-Oz
MD-MPH, 2024
Developing a prediction model for the risk of antimicrobial resistance among patients presenting to the emergency department
with suspected urinary tract infection
Gilad Shamir
MD-MPH, 2024
Prognostic and biological characteristics associated
with Multiple Myeloma presented only with anemia
Dor Spitzer
MD-MPH, 2024
Clinical significance of FLC tests in patients
without other evidence of hematologic disorder
Shlomit Yudizki
MD-MPH, 2024
Short-term and long-term outcomes of kidney donation
