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PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes

Journal of statistical software, 2015-03, Vol.64 (7), p.1-30

2015

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Research priorities for COVID-19 sensor technology

Nature biotechnology, 2021-02, Vol.39 (2), p.144-147

2021

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Multilayer networks for text analysis with multiple data types

EPJ data science, 2021-06, Vol.10 (1), p.33-16, Article 33

2021

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Prognostic impact of systolic blood pressure variability in people with diabetes

PloS one, 2018-04, Vol.13 (4), p.e0194084-e0194084

2018

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Correction: Prognostic impact of systolic blood pressure variability in people with diabetes

PloS one, 2019-10, Vol.14 (10), p.e0224538-e0224538

2019

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Identifying cell types from spatially referenced single-cell expression datasets

PLoS computational biology, 2014-09, Vol.10 (9), p.e1003824-e1003824

2014

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Lyle D.Broemeling, Chapman & Hall/CRC Biostatistics Series: Boca Raton, London, New York, 2014. No. of Pages: 454. Price: $85.46, 59.99GBP. ISBN: 978‐1‐4665‐6497‐8

Statistics in medicine, 2015-09, Vol.34 (22), p.3079-3080

Azizi, Lamiae

2015

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Novel semi-metrics for multivariate change point analysis and anomaly detection

Physica. D, 2020-11, Vol.412, p.132636-132636, Article 132636

2020

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Variational nonparametric discriminant analysis

Computational statistics & data analysis, 2020-02, Vol.142, p.106817, Article 106817

2020

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The Association of Surgical Margins and Local Recurrence in Women with Ductal Carcinoma In Situ Treated with Breast-Conserving Therapy: A Meta-Analysis

Annals of surgical oncology, 2016-11, Vol.23 (12), p.3811-3821

2016

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Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data

Journal of computational and graphical statistics, 2023-04, Vol.32 (2), p.588-600

2023

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Has the incidence of brain cancer risen in Australia since the introduction of mobile phones 29 years ago?

Cancer epidemiology, 2016-06, Vol.42, p.199-205

2016

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Influence of the disease label ‘polycystic ovary syndrome’ on intention to have an ultrasound and psychosocial outcomes: a randomised online study in young women

Human reproduction (Oxford), 2017-04, Vol.32 (4), p.876-884

2017

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A predictive model for diagnosing stroke-related apraxia of speech

Neuropsychologia, 2016-01, Vol.81, p.129-139

2016

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Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction

Neural Information Processing, p.564-573

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Response from the authors to correspondence related to ‘Has the incidence of brain cancer risen in Australia since the introduction of mobile phones 29 years ago?’

Cancer epidemiology, 2016-10, Vol.44, p.138-140

2016

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The association of surgical margins and local recurrence in women with ductal carcinoma in situ treated with breast-conserving therapy: A meta-analysis

Journal of clinical oncology, 2016-05, Vol.34 (15_suppl), p.1020-1020

2016

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A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer

BMC medical research methodology, 2013-10, Vol.13 (1), p.129-129, Article 129

2013

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A semi-parametric approach to estimate risk functions associated with multidimensional exposure profiles: application to smoking and lung cancer

BMC medical research methodology, 2013-10, Vol.13 (1)

2013

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Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets: e1003824

PLoS computational biology, 2014-09, Vol.10 (9)

2014

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Time‐varying neural network for stock return prediction

Intelligent systems in accounting, finance & management, 2022-01, Vol.29 (1), p.3-18

2022

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SPATIAL RISK MAPPING FOR RARE DISEASE WITH HIDDEN MARKOV FIELDS AND VARIATIONAL EM

The annals of applied statistics, 2013-06, Vol.7 (2), p.1192-1216

2013

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Multidimensional analysis of the effect of occupational exposure to organic solvents on lung cancer risk: the ICARE study

Occupational and environmental medicine (London, England), 2016-06, Vol.73 (6), p.368-377

2016

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Spatial-temporal Variations of Bovine Tuberculosis Incidence in France between 1965 and 2000

Transboundary and emerging diseases, 2016-02, Vol.63 (1), p.101-113

2016

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On the difficulty to delimit disease risk hot spots

International journal of applied earth observation and geoinformation, 2013-06, Vol.22, p.99-105

2013

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PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes

Research priorities for COVID-19 sensor technology

Multilayer networks for text analysis with multiple data types

Prognostic impact of systolic blood pressure variability in people with diabetes

Correction: Prognostic impact of systolic blood pressure variability in people with diabetes

Identifying cell types from spatially referenced single-cell expression datasets

Lyle D.Broemeling, Chapman & Hall/CRC Biostatistics Series: Boca Raton, London, New York, 2014. No. of Pages: 454. Price: $85.46, 59.99GBP. ISBN: 978‐1‐4665‐6497‐8

Novel semi-metrics for multivariate change point analysis and anomaly detection

Variational nonparametric discriminant analysis

The Association of Surgical Margins and Local Recurrence in Women with Ductal Carcinoma In Situ Treated with Breast-Conserving Therapy: A Meta-Analysis

Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data

Has the incidence of brain cancer risen in Australia since the introduction of mobile phones 29 years ago?

Influence of the disease label ‘polycystic ovary syndrome’ on intention to have an ultrasound and psychosocial outcomes: a randomised online study in young women

A predictive model for diagnosing stroke-related apraxia of speech

Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction

Response from the authors to correspondence related to ‘Has the incidence of brain cancer risen in Australia since the introduction of mobile phones 29 years ago?’

The association of surgical margins and local recurrence in women with ductal carcinoma in situ treated with breast-conserving therapy: A meta-analysis

A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer

A semi-parametric approach to estimate risk functions associated with multidimensional exposure profiles: application to smoking and lung cancer

Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets: e1003824

Time‐varying neural network for stock return prediction

SPATIAL RISK MAPPING FOR RARE DISEASE WITH HIDDEN MARKOV FIELDS AND VARIATIONAL EM

Multidimensional analysis of the effect of occupational exposure to organic solvents on lung cancer risk: the ICARE study

Spatial-temporal Variations of Bovine Tuberculosis Incidence in France between 1965 and 2000

On the difficulty to delimit disease risk hot spots

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