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Health & pharmaceuticals

Whether you are a public health analyst interested in modeling the health impacts and risks of meat and poultry products or a pharmaceutical company looking to manage the risk and return from the portfolio of your research and development projects, you will find Analytica is an ideal tool for quantifying these issues, and managing the uncertainties. To learn about how organizations are using Analytica in these industries, please see a couple of the case studies listed below.

A critique of the HealthData.org COVID-19 model, and how it works

On 26-March-2020, researchers at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington published their first COVID-19 forecast [IMHE20a]...

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Suppression strategy and updated forecast for US deaths from COVID-19 Coronavirus in 2020

Two weeks ago in the article “Estimating US Deaths from COVID-19 Coronavirus in 2020” [C20b], I developed a probabilistic forecast for the number of people in the US who will ...

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How social isolation impacts COVID-19 spread in the US: A Markov model approach

On Monday of this week, the Imperial College COVID-19 Response Team released an influential report that forecasts how social isolation measures for mitigation and suppression...

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Estimating US Deaths from COVID-19 Coronavirus in 2020

In this posting, I am taking on the morbid challenge of forecasting how many people in the US will die from the COVID-19 coronavirus in the year 2020.

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The mortality rate of the Wuhan coronavirus

It has only been about a month since the new strain of a coronavirus appeared in the city of Wuhan, Hubei province, China. Yet it seems that the rapid growth of confirmed cases...

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Risk management analytics in clinical trials via data quality assurance & methods

Whether they are for preventing malaria, detecting melanoma, diagnosing Alzheimer’s disease, treating diabetes, or improving the quality of life for soldiers post-war, clinical...

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Do decision support systems tend to prevent or incite healthcare mistakes?

Nobody is likely to disagree with the notion that decision support systems in healthcare are there to help people make better decisions. When things work well, it is capable of ...

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Healthcare decision tree & sensitivity analysis

Decision tree analysis in healthcare can be applied when choices or outcomes of treatment are uncertain, and when such choices and outcomes are significant ...

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Health & pharmaceuticals clients