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Dr Reza Baneshi
Dr

Reza Baneshi

Email: 
Phone: 
+61 7 334 64711

Overview

Background

Dr Mohammad Reza Baneshi is a biostatistician and Senior Research Fellow at the Australian Women and Girls’ Health Research Centre, School of Public Health, The University of Queensland. He has more than 20 years of experience in biostatistics, epidemiology and applied health research, spanning Australia, the United Kingdom, Iran and Afghanistan. His methodological expertise includes survival and longitudinal data analysis, linked-data analysis, prediction modelling, machine learning, missing-data methods, multimorbidity networks and population-size estimation.

Since joining The University of Queensland in 2020, Dr Baneshi has contributed to major research programs in women’s health, multimorbidity and chronic disease. His recent work has examined the development and progression of multiple chronic conditions, cardiometabolic transitions, quality of life, body-weight change, endometriosis, female-specific cardiovascular risk factors and the analysis of multiple-cause-of-death data. He has also contributed to the development of new statistical approaches for modelling multimorbidity.

Before joining The University of Queensland, Dr Baneshi was Professor of Biostatistics at Kerman University of Medical Sciences, Iran. He led several nationally funded studies estimating the size of hidden and marginalised populations at increased risk of HIV, including people who inject drugs, sex workers and men who have sex with men. He also contributed to population-size estimation and mapping studies in Afghanistan and has been a member of the World Health Organization Regional Knowledge Hub for HIV/AIDS Surveillance. His book, Methods in Epidemiology: Population Size Estimation, was published by Springer Nature in 2021.

Dr Baneshi has authored more than 200 peer-reviewed publications and two scholarly books. He has supervised or advised more than 40 doctoral and master’s students and has taught biostatistics, regression, longitudinal analysis, survival analysis, statistical learning and health-data analysis. He also serves as Statistical Editor for the International Journal of Health Policy and Management.

Availability

Dr Reza Baneshi is:
Available for supervision

Qualifications

  • Masters (Coursework), Shiraz University of Medical Sciences
  • Doctor of Philosophy, University of Edinburgh

Works

Search Professor Reza Baneshi’s works on UQ eSpace

231 works between 2007 and 2026

201 - 220 of 231 works

2012

Journal Article

Size estimation of groups at high risk of HIV/AIDS using network scale up in Kerman, Iran

Shokoohi, Mostafa, Baneshi, Mohammad Reza and Haghdoost, Ali-Akbar (2012). Size estimation of groups at high risk of HIV/AIDS using network scale up in Kerman, Iran. International Journal of Preventive Medicine, 3 (7), 471-476.

Size estimation of groups at high risk of HIV/AIDS using network scale up in Kerman, Iran

2012

Journal Article

Size estimation of groups at high risk of HIV/AIDS using network scale up in Kerman, Iran

Shokoohi, Mostafa, Baneshi, Mohammad Reza and Haghdoost, Ali-Akbar (2012). Size estimation of groups at high risk of HIV/AIDS using network scale up in Kerman, Iran. International Journal of Preventive Medicine, 3 (7), 471-476.

Size estimation of groups at high risk of HIV/AIDS using network scale up in Kerman, Iran

2012

Journal Article

Gentle human touch and Yakson: the effect on preterm's behavioral reactions

Bahman Bijari, Bahare, Iranmanesh, Sedigheh, Eshghi, Fateme and Baneshi, Mohammad Reza (2012). Gentle human touch and Yakson: the effect on preterm's behavioral reactions. ISRN Nursing, 2012 750363, 1-7. doi: 10.5402/2012/750363

Gentle human touch and Yakson: the effect on preterm's behavioral reactions

2012

Journal Article

Estimation of basic reproductive number of flu-like syndrome in a primary school in Iran

Haghdoost, Aliakbar, Baneshi, Mohammad Reza, Zolala, Farzaneh, Farvahari, Sirous and Safizadeh, Hossein (2012). Estimation of basic reproductive number of flu-like syndrome in a primary school in Iran. International Journal of Preventive Medicine, 3 (6), 408-13.

Estimation of basic reproductive number of flu-like syndrome in a primary school in Iran

2012

Journal Article

Estimation of basic reproductive number of flu-like syndrome in a primary school in Iran

Haghdoost, Aliakbar, Baneshi, Mohammad Reza, Zolala, Farzaneh, Farvahari, Sirous and Safizadeh, Hossein (2012). Estimation of basic reproductive number of flu-like syndrome in a primary school in Iran. International Journal of Preventive Medicine, 3 (6), 408-413.

Estimation of basic reproductive number of flu-like syndrome in a primary school in Iran

2012

Journal Article

Assessment of internal validity of prognostic models through bootstrapping and multiple imputation of missing data

Baneshi, M.R. and Talei, A. (2012). Assessment of internal validity of prognostic models through bootstrapping and multiple imputation of missing data. Iranian Journal of Public Health, 41 (5), 110-5.

Assessment of internal validity of prognostic models through bootstrapping and multiple imputation of missing data

2012

Journal Article

Noise pollution survey of a two-storey intersection station in Tehran metropolitan subway system

Ghotbi, Mohammad Reza, Monazzam, Mohammad Reza, Baneshi, Mohammad Reza, Asadi, Mohammad and Fard, Samaneh Momen Bellah (2012). Noise pollution survey of a two-storey intersection station in Tehran metropolitan subway system. Environmental Monitoring and Assessment, 184 (2), 1097-1106. doi: 10.1007/s10661-011-2024-8

Noise pollution survey of a two-storey intersection station in Tehran metropolitan subway system

2012

Journal Article

Prevention of Disease Complications through Diagnostic Models: How to Tackle the Problem of Missing Data?

Baneshi, Mr, Faramarzi, H and Marzban, M (2012). Prevention of Disease Complications through Diagnostic Models: How to Tackle the Problem of Missing Data?. Iranian journal of public health, 41 (1), 66-72.

Prevention of Disease Complications through Diagnostic Models: How to Tackle the Problem of Missing Data?

2012

Journal Article

Iranian household financial protection against catastrophic health care expenditures

Nekoei Moghadam, M., Banshi, M., Akbari Javar, M., Amiresmaili, M. and Ganjavi, S. (2012). Iranian household financial protection against catastrophic health care expenditures. Iranian Journal of Public Health, 41 (9), 62-70.

Iranian household financial protection against catastrophic health care expenditures

2012

Journal Article

Does the missing data imputation method affect the composition and performance of prognostic models?

Baneshi, M R and Talei, A R (2012). Does the missing data imputation method affect the composition and performance of prognostic models?. Iranian Red Crescent medical journal, 14 (1), 31-6.

Does the missing data imputation method affect the composition and performance of prognostic models?

2012

Journal Article

Statistics for dental researchers; part 1: Introduction

Shahravan, Arash and Baneshi, Mohammad Reza (2012). Statistics for dental researchers; part 1: Introduction. Journal of Oral Health and Oral Epidemiology, 1 (1), 1-2.

Statistics for dental researchers; part 1: Introduction

2012

Journal Article

Assessment of internal validity of prognostic models through bootstrapping and multiple imputation of missing data

Baneshi, M. R. and Talei, A. (2012). Assessment of internal validity of prognostic models through bootstrapping and multiple imputation of missing data. Iranian Journal of Public Health, 41 (5), 110-115.

Assessment of internal validity of prognostic models through bootstrapping and multiple imputation of missing data

2012

Journal Article

Statistics for dental researcher, Part 2: descriptive statistics

Shahravan, Arash, Ghassemi, Amir Reza and Baneshi, Mohammad Reza (2012). Statistics for dental researcher, Part 2: descriptive statistics. Journal of Oral Health and Oral Epidemiology, 1 (2), 53-59.

Statistics for dental researcher, Part 2: descriptive statistics

2012

Journal Article

Do different groups have different risk factors for dieting and exercise as body management strategies?

Garrusi, Behshid, Baneshi, Mohammad Reza and Amiri, Fatemeh (2012). Do different groups have different risk factors for dieting and exercise as body management strategies?. Russian Open Medical Journal, 1 (3) 0308. doi: 10.15275/rusomj.2012.0308

Do different groups have different risk factors for dieting and exercise as body management strategies?

2011

Journal Article

How to estimate the sample size in special conditions? (Part two)

Haghdoost, A. A., Baneshi, M. R. and Marzban, M. (2011). How to estimate the sample size in special conditions? (Part two). Iranian Journal of Epidemiology, 7 (2), 67-74.

How to estimate the sample size in special conditions? (Part two)

2011

Book

Modeling of Many Skewed Biomarkers and Missing Data

Baneshi, Mohammad Reza (2011). Modeling of Many Skewed Biomarkers and Missing Data. Chișinău, Moldova: LAP Lambert Academic Publishing.

Modeling of Many Skewed Biomarkers and Missing Data

2011

Journal Article

Multiple imputation in survival models: applied on breast cancer data

Baneshi, M. R. and Talei, A. R. (2011). Multiple imputation in survival models: applied on breast cancer data. Iranian Red Crescent Medical Journal, 13 (8), 547-552.

Multiple imputation in survival models: applied on breast cancer data

2011

Journal Article

Bubble-CPAP vs. ventilatory-CPAP in preterm infants with respiratory distress

Bahman-Bijari, Bahareh, Malekiyan, Arash, Niknafs, Pedram and Baneshi, Mohammad-Reza (2011). Bubble-CPAP vs. ventilatory-CPAP in preterm infants with respiratory distress. Iranian Journal of Pediatrics, 21 (2), 151-158.

Bubble-CPAP vs. ventilatory-CPAP in preterm infants with respiratory distress

2011

Journal Article

Dichotomisation of continuous data: Review of methods, advantages, and disadvantages

Baneshi, M. R. and Talei, A. R. (2011). Dichotomisation of continuous data: Review of methods, advantages, and disadvantages. Iranian Journal of Cancer Prevention, 4 (1), 26-32.

Dichotomisation of continuous data: Review of methods, advantages, and disadvantages

2011

Journal Article

Multiple imputations in survival models: Analysis using breast cancer data

Baneshi, M. R. and Talei, A. (2011). Multiple imputations in survival models: Analysis using breast cancer data. Iranian Red Crescent Medical Journal, 13 (8), 1-6.

Multiple imputations in survival models: Analysis using breast cancer data

Funding

Current funding

  • 2026 - 2030
    Australian Perimenopause and Menopause (A-PaM) Study
    NHMRC MRFF Infertility Pregnancy Loss and Menopause
    Open grant

Supervision

Availability

Dr Reza Baneshi is:
Available for supervision

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Supervision history

Current supervision

Media

Enquiries

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