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Nicholas Reich: Biostatistics and Infectious Disease Epidemiology

Reich Lab @ UMassAmherst. Welcome to the lab website for Nicholas Reich. Biostatistics and Public Health. Our team develops statistical methods and analytical tools to help people make sense of data. Building on close collaborative relationships with public health practitioners from across the world - from Denver to San Juan to Bangkok - we use modern statistical and machine learning tools to gain insights into complex disease systems. Check out our work on GitHub. For more details on each region. A proj...

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Nicholas Reich: Biostatistics and Infectious Disease Epidemiology | reichlab.github.io Reviews

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Reich Lab @ UMassAmherst. Welcome to the lab website for Nicholas Reich. Biostatistics and Public Health. Our team develops statistical methods and analytical tools to help people make sense of data. Building on close collaborative relationships with public health practitioners from across the world - from Denver to San Juan to Bangkok - we use modern statistical and machine learning tools to gain insights into complex disease systems. Check out our work on GitHub. For more details on each region. A proj...

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Nicholas Reich: Biostatistics and Infectious Disease Epidemiology

http://reichlab.github.io/2016/09/01/epidata-api.html

Reich Lab @ UMassAmherst. Using the DELPHI API to access infectious disease data. Posted on 01 September, 2016. This week I attended a workshop at the CDC about last year’s FluSight challenge. A competition that scores weekly real-time predictions about the course of the influenza season. They are planning another round this year and are hoping to increase the number of teams particiating. Stay tuned to this site. At the workshop, I learned about DELPHI’s. Real-time epidemiological data API. Are availabl...

2

Nicholas Reich: Biostatistics and Infectious Disease Epidemiology

http://reichlab.github.io/2016/11/23/introducing-flusight.html

Reich Lab @ UMassAmherst. Under the hood of our real-time flu predictions. Posted on 23 November, 2016. For the second year in a row, the Reich Lab is participating in the CDC FluSight challenge. A project where teams from around the country submit real-time predictions of influenza to the CDC. The teams use a variety of different models and methods to generate these predictions, from an empirical Bayes method that uses Google search data. To a extended Kalman-filter method that uses humidity data. A sea...

3

Nicholas Reich: Biostatistics and Infectious Disease Epidemiology

http://reichlab.github.io/2015/09/10/stan-contributor.html

Reich Lab @ UMassAmherst. Posted on 10 September, 2015. In a feat of focused coding jujitsu, Krzysztof successfully put together a pull-request to the base development version of STAN. He incorporated into STAN some of his dissertation work that required sparse matrix multiplication. Here’s snippet from the Lab’s favorite comment on the pull request.

4

Nicholas Reich: Biostatistics and Infectious Disease Epidemiology

http://reichlab.github.io/alert.html

Reich Lab @ UMassAmherst. The ALERT Algorithm Early-warnings for flu season. We are working to evaluate the performance of ALERT in a broader range of settings, including with datasets that have influenza A, influenza B, RSV, and combinations of respiratory pathogens (or influenza-like-illness). The ALERT algorithm was developed for use by the ResPECT Study. Original paper in Clinical Infectious Diseases. The ALERT R package. ALERT R package tutorial (pdf). Slides for ISDS presentation.

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Nicholas Reich: Biostatistics and Infectious Disease Epidemiology

http://reichlab.github.io/index.html

Reich Lab @ UMassAmherst. Welcome to the lab website for Nicholas Reich. Biostatistics and Public Health. Our team develops statistical methods and analytical tools to help people make sense of data. Building on close collaborative relationships with public health practitioners from across the world - from Denver to San Juan to Bangkok - we use modern statistical and machine learning tools to gain insights into complex disease systems. Check out our work on GitHub. For more details on each region. A proj...

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Epidemic Prediction Initiative

https://predict.phiresearchlab.org/post/57f3f440123b0f563ece2576

FluSight: Seasonal Influenza Forecasting. While this is not currently possible, the goal of flu forecasting is to provide a more-timely and forward-looking tool that health officials can use to target medical interventions, inform earlier public health actions, and allocate resources for communications, disease prevention and control. The potential benefits of flu forecasting are significant. Interested in participating in the challenge? Please email flucontest@cdc.gov. The Average prediction is an unwei...

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Nicholas Reich: Biostatistics and Infectious Disease Epidemiology

Reich Lab @ UMassAmherst. Welcome to the lab website for Nicholas Reich. Biostatistics and Public Health. Our team develops statistical methods and analytical tools to help people make sense of data. Building on close collaborative relationships with public health practitioners from across the world - from Denver to San Juan to Bangkok - we use modern statistical and machine learning tools to gain insights into complex disease systems. Check out our work on GitHub. For more details on each region. A proj...

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Estate Planning/Wills and Trusts. 8441 N. Millbrook, Suite 104. Fresno, CA 93720. We've been getting results for clients in the Central Valley for over thirty years. Our primary practice areas include business litigation and planning, accidents and injury lawsuits, bankruptcy, and estate planning/probate issues. LEGAL DISCLAIMER/TERMS OF USE. The information at this web site is for advertising and general information purposes. This information is not intended to be legal advice for you to rely on nor...