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Category: Comparative Effectiveness Research
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zip.png UNC Pharmacoepidemiology Lecture Series
As 17 lecture series on pharmacoepidemiology. 1) What is Pharmacoepidemiology 2) Sources of Data for PE, 3) Drug Outcomes and Comorbidity 4) Methodological Challenges, 5) Study Design Solutions 6) Risk Periods 7) Propensity Scores 8) Disease Risk Scores, 9) Non-uniform treatment effects 10) Instrumental Variables, 11) Validation Studies 12) Immortal Time Bias, 13) Adherence Persistence, 14) Patients treated contrary to prediction, 15) Variability in Treatments and Variable Selection, 16) Potentially inappropriate prescribing, and 17) Miscellaneous
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zip.png COVID-19 Journal Club- CVD, Drug Therapy and Mortality in COVID-19
COVID-19 Journal Club-“Cardiovascular Disease, Drug Therapy, and Mortality in Covid-19”
by Mehra et al. 2020, led by Dr. Michele Jonsson-Funk and Sara Dejene
Compressed file includes 1) PDF of article 2) Power Point 3) recording of session
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Size 85.14 MB
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zip.png COVID-19 Journal Club- Immortal Time Bias and Real World Data (Anticoagulation in hospitalized COVID-19 Patients)
This Journal Club discusses Immortal Time bias in two papers,  "Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients with COVID-19 by Nadkarni et al" and Association of Treatment Dose Anticoagulation with In Hospital Patients with COVID-19 by Paranjpe, et al" , led by Dr. Michele Jonsson-Funk and Sara Dejene. 

This download includes 1) PDFs of each article 2) audio from presentation and 3) Power Point Slides
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Size 55.8 MB
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pdf.png Machine Learning Seminar Series: Promise and Perils of Machine Learning in Clinical Research
The first session of the CER services Machine Learning Seminar Series, "Promise and Perils of Machine Learning in Clinical Research" led by Dr. Michele Jonsson-Funk
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Size 1.27 MB
Changed 2021-04-14
zip.png COVID-19 Journal Club-"BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting” by Dagan et al. 2020
This session led by Dr. Michele Jonsson-Funk discussed “BNT162b2 mRNA Covid-19 Vaccine
in a Nationwide Mass Vaccination Setting” by Dagan et al. 2020, the download includes slides, the article and recording of the session.
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Size 390.55 MB
Changed 2021-04-14
zip.png Machine Learning Seminar Series: Machine Learning Use Cases
As part of the CER Services Machine Learning Seminar Series, Dr. Nabarun Dasgupta presented on different use cases for Machine Learning. The download includes slides and a recording, if you are interested in learning more please see the papers below:

Foundational Methods Paper for the Field with US FDA

Freifeld CC, Brownstein JS, Menone CM, Bao W, Filice R, Kass-Hout T, Dasgupta N. Digital drug safety surveillance: monitoring pharmaceutical products in twitter. Drug safety. 2014 May;37(5):343-50.

https://link.springer.com/article/10.1007/s40264-014-0155-x

 

Consensus Recommendations for the European Union

van Stekelenborg J, Ellenius J, Maskell S, Bergvall T, Caster O, Dasgupta N, Dietrich J, Gama S, Lewis D, Newbould V, Brosch S. Recommendations for the use of social media in pharmacovigilance: lessons from IMI WEB-RADR. Drug safety. 2019 Dec;42(12):1393-407.

https://link.springer.com/article/10.1007/s40264-019-00858-7

 

Real-world Timeliness and Utility Study with US FDA

Pierce CE, Bouri K, Pamer C, Proestel S, Rodriguez HW, Van Le H, Freifeld CC, Brownstein JS, Walderhaug M, Edwards IR, Dasgupta N. Evaluation of Facebook and Twitter monitoring to detect safety signals for medical products: an analysis of recent FDA safety alerts. Drug safety. 2017 Apr 1;40(4):317-31.

https://link.springer.com/content/pdf/10.1007/s40264-016-0491-0.pdf

 

Patient-centric Reporting of Side Effects in Social Media

Patel R, Belousov M, Jani M, Dasgupta N, Winokur C, Nenadic G, Dixon WG. Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. NPJ digital medicine. 2018 Feb 12;1(1):1-7.

https://www.nature.com/articles/s41746-017-0007-z

 

Responsibility of Pharmaceutical Industry (GSK) for Monitoring Side Effects

Powell GE, Seifert HA, Reblin T, Burstein PJ, Blowers J, Menius JA, Painter JL, Thomas M, Pierce CE, Rodriguez HW, Brownstein JS, Freifeld CC, Bell HG, Dasgupta N. Social media listening for routine post-marketing safety surveillance. Drug safety. 2016 May 1;39(5):443-54.

https://link.springer.com/article/10.1007%2Fs40264-015-0385-6

 

Limitations Compared to Traditional Pharmacovigilance (WHO-UMC)

Gattepaille LM, Hedfors Vidlin S, Bergvall T, Pierce CE, Ellenius J. Prospective evaluation of adverse event recognition systems in Twitter: Results from the Web-RADR project. Drug safety. 2020 Aug;43:797-808.

https://link.springer.com/content/pdf/10.1007/s40264-020-00942-3.pdf

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Size 239.39 MB
Changed 2021-04-22
zip.png Machine Learning Seminar Series: CLARK!

The third session in the Machine Learning Seminar Series presented by the Comparative Effectiveness Research Service, this session is led by Dr. Buck Bohac, data analyst at NC TraCS discusses CLARK! a open source machine-learning classifier. This download includes a recording and slides.

CLARK! can be downloaded here.

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zip.png COVID-19 Journal Club- Recent Safety Signal and Updates on COVID-19 Vaccines: Astrazeneca and J&J
Joyce Pak and Claire Su with Dr. Michelle Jonsson Funk, lead this discussion on recent Safety Signal and Updates on COVID-19 Vaccines: Astrazeneca and J&J. This download includes a recording of the event.
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Size 144.57 MB
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zip.png Machine Learning Seminar Series:Recent Machine Learning Developments to Advance Precision Medicine
Dr. Michael Kosorok led this session of the Machine Learning Seminar Series on, this presentation discusses Recent Machine Learning Developments to Advance Precision Medicine. The download includes a recording and a pdf of the slides.
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Size 138.25 MB
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zip.png Real World Evidence in the COVID Era: Which treatments work
Sara Dejene and Dr. Jessica Young led a discussion on "Association Between Early Treatment With Tocilizumab and Mortality Among Critically Ill Patients With COVID-19” by Gupta et al. 2020. This download includes a recording and slides.
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