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The value of evidence and its role in driving product strategy

Journal of comparative effectiveness research, 2024-08, Vol.13 (8), p.e240074

2024

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NASHmap: clinical utility of a machine learning model to identify patients at risk of NASH in real-world settings

Scientific reports, 2023-04, Vol.13 (1), p.5573-5573, Article 5573

2023

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Development of a novel machine learning model to predict presence of nonalcoholic steatohepatitis

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (6), p.1235-1241

2021

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Relapse rates in patients with multiple sclerosis switching from interferon to fingolimod or glatiramer acetate: a US claims database study

PloS one, 2014-02, Vol.9 (2), p.e88472

2014

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Modelling Decline in Cognition to Decline in Function in Alzheimer’s Disease

Current Alzheimer research, 2020-01, Vol.17 (7), p.635-657

2020

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Summarizing historical information on controls in clinical trials

Clinical trials (London, England), 2010-02, Vol.7 (1), p.5-18

2010

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A Systematic Review and Meta-Analysis of Prevalence Studies of Sporadic Inclusion Body Myositis

Journal of neuromuscular diseases, 2017, Vol.4 (2), p.127-137

2017

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Comparative efficacy of long-acting bronchodilators for COPD: a network meta-analysis

Respiratory research, 2013-10, Vol.14 (1), p.100-100, Article 100

2013

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Relationship between FEV1 change and patient-reported outcomes in randomised trials of inhaled bronchodilators for stable COPD: a systematic review

Respiratory research, 2011-04, Vol.12 (45), p.40-40, Article 40

2011

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Impact of the COVID-19 pandemic on healthcare resource utilization across selected disease areas in the USA

Journal of comparative effectiveness research, 2022-08, Vol.11 (11), p.815-828

2022

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Burden of illness and healthcare resource use in United States patients with sporadic inclusion body myositis

Muscle & nerve, 2017-11, Vol.56 (5), p.861-867

2017

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1487-P: Increased Identification of NASH among Diabetic and Nondiabetic Patients through Machine Learning in Real-World Settings

Diabetes (New York, N.Y.), 2020-06, Vol.69 (Supplement_1)

2020

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Can we use existing guidance to support the development of robust real-world evidence for health technology assessment/payer decision-making?

International journal of technology assessment in health care, 2022-11, Vol.38 (1), p.e79-e79, Article e79

2022

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Network meta-analysis combining individual patient and aggregate data from a mixture of study designs with an application to pulmonary arterial hypertension

BMC medical research methodology, 2015-04, Vol.15 (1), p.34-34, Article 34

2015

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Mortality and comorbidities in patients with multiple sclerosis compared with a population without multiple sclerosis: An observational study using the US Department of Defense administrative claims database

Multiple sclerosis and related disorders, 2015-11, Vol.4 (6), p.546-554

2015

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Prevalence of Sporadic Inclusion Body Myositis (P1.127)

Neurology, 2016-04, Vol.86 (16_supplement)

2016

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Persistence with and adherence to fingolimod compared with other disease-modifying therapies for the treatment of multiple sclerosis: a retrospective US claims database analysis

Journal of medical economics, 2014-10, Vol.17 (10), p.696-707

2014

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New opportunities of real-world data from clinical routine settings in life-cycle management of drugs: example of an integrative approach in multiple sclerosis

Current medical research and opinion, 2015-05, Vol.31 (5), p.953-965

2015

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Development and validation of a Bayesian survival model for inclusion body myositis

Theoretical biology and medical modelling, 2019-11, Vol.16 (1), p.17-17, Article 17

2019

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Efficacy of Once-Daily Indacaterol Relative to Alternative Bronchodilators in COPD: A Patient-Level Mixed Treatment Comparison

Value in health, 2012-05, Vol.15 (3), p.524-533

2012

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Expanding the use of administrative claims databases in conducting clinical real-world evidence studies in multiple sclerosis

Current medical research and opinion, 2015-05, Vol.31 (5), p.1029-1039

2015

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Comparative effectiveness of fingolimod versus interferons or glatiramer acetate for relapse rates in multiple sclerosis: a retrospective US claims database analysis

Current medical research and opinion, 2013-12, Vol.29 (12), p.1647-1656

2013

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Economic Burden of Sporadic Inclusion Body Myositis Patients in the United States (P1.135)

Neurology, 2016-04, Vol.86 (16_supplement)

2016

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Validation of the Sporadic Inclusion Body Myositis Physical Functioning Assessment (P3.122)

Neurology, 2016-04, Vol.86 (16_supplement)

2016

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Indirect comparisons of ranibizumab and dexamethasone in macular oedema secondary to retinal vein occlusion

BMC medical research methodology, 2014-12, Vol.14 (1), p.140-140, Article 140

2014

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The value of evidence and its role in driving product strategy

NASHmap: clinical utility of a machine learning model to identify patients at risk of NASH in real-world settings

Development of a novel machine learning model to predict presence of nonalcoholic steatohepatitis

Relapse rates in patients with multiple sclerosis switching from interferon to fingolimod or glatiramer acetate: a US claims database study

Modelling Decline in Cognition to Decline in Function in Alzheimer’s Disease

Summarizing historical information on controls in clinical trials

A Systematic Review and Meta-Analysis of Prevalence Studies of Sporadic Inclusion Body Myositis

Comparative efficacy of long-acting bronchodilators for COPD: a network meta-analysis

Relationship between FEV1 change and patient-reported outcomes in randomised trials of inhaled bronchodilators for stable COPD: a systematic review

Impact of the COVID-19 pandemic on healthcare resource utilization across selected disease areas in the USA

Burden of illness and healthcare resource use in United States patients with sporadic inclusion body myositis

1487-P: Increased Identification of NASH among Diabetic and Nondiabetic Patients through Machine Learning in Real-World Settings

Can we use existing guidance to support the development of robust real-world evidence for health technology assessment/payer decision-making?

Network meta-analysis combining individual patient and aggregate data from a mixture of study designs with an application to pulmonary arterial hypertension

Mortality and comorbidities in patients with multiple sclerosis compared with a population without multiple sclerosis: An observational study using the US Department of Defense administrative claims database

Prevalence of Sporadic Inclusion Body Myositis (P1.127)

Persistence with and adherence to fingolimod compared with other disease-modifying therapies for the treatment of multiple sclerosis: a retrospective US claims database analysis

New opportunities of real-world data from clinical routine settings in life-cycle management of drugs: example of an integrative approach in multiple sclerosis

Development and validation of a Bayesian survival model for inclusion body myositis

Efficacy of Once-Daily Indacaterol Relative to Alternative Bronchodilators in COPD: A Patient-Level Mixed Treatment Comparison

Expanding the use of administrative claims databases in conducting clinical real-world evidence studies in multiple sclerosis

Comparative effectiveness of fingolimod versus interferons or glatiramer acetate for relapse rates in multiple sclerosis: a retrospective US claims database analysis

Economic Burden of Sporadic Inclusion Body Myositis Patients in the United States (P1.135)

Validation of the Sporadic Inclusion Body Myositis Physical Functioning Assessment (P3.122)

Indirect comparisons of ranibizumab and dexamethasone in macular oedema secondary to retinal vein occlusion

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