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R for Public Health R-bloggers

If working through a book on you own seems too much of a stretch, then digest an R package or two. Here are a few examples of packages on public health … See more

Actived: 5 days ago

URL: https://www.r-bloggers.com/2021/06/r-for-public-health/

Analyzing Public Health Data in R R-bloggers

WEBSuch a loaded question. In a nutshell, the four core functions of public health are as follows: Assessment. Policy development. Assurance. Communication. In other …

Category:  Health Go Health

Updates to {healthyR.data} R-bloggers

WEBConclusion. The healthyR.data package has long been a valuable resource for anyone working with health data. With the latest release, version 1.0.3, the package has …

Category:  Health Go Health

Linear Regression with Healthcare Data for Beginners in R

WEBCategory. Regression Models; Tags. ggplot2; Linear Regression; NHANES; R Programming; In this post I will show how to build a linear regression model. As an …

Category:  Health Go Health

Using Shiny in Healthcare: Examples from the 2021 Shiny Contest

WEBThe healthdown application won an honorable mention in the 2021 Shiny Contest and shows a great new way to interactively explore health metrics spatially. The app allows …

Category:  Health Go Health

Health Economics in R Data Hack R-bloggers

WEBOn January 21st – 22nd 2020 at Queen’s University Belfast, we hosted the second health economics in R event – a workshop/hackathon/data dive mash-up. (Read about the first …

Category:  Health Go Health

R Shiny in Life Sciences – Top 7 Dashboard Examples

WEBRStudio: Covid-19 Tracker. It’s near impossible to list the best dashboards made with R Shiny in life sciences without mentioning Covid-19. The dashboard made …

Category:  Health Go Health

More health economics in R R-bloggers

WEBNathan Green has alerted/invited me to another workshop aimed at increasing the use of R in Health Economics. He and I had some discussion in the past few months and …

Category:  Health Go Health

Exploring Fitness Data in R R-bloggers

WEBBack in late February, I purchased a Microsoft Band 2. While I don’t exercise every day, I thought it would be fun to track the few health activities I can record. After five months, …

Category:  Health Go Health

Beyond SAS: How R is Revolutionizing Pharma and Life Sciences

WEBStatistical analysis and data handling play a pivotal role in the life sciences and pharmaceutical industries. The need for accurate and robust data analysis cannot …

Category:  Health Go Health

Data from the World Health Organization API R-bloggers

WEBEric Persson released yesterday a new WHO R package which allows easy access to the World Health Organization’s data API. He’s also done a nice vignette …

Category:  Health Go Health

Heart Disease Prediction From Patient Data in R R-bloggers

WEBIn this post I’ll be attempting to leverage the parsnip package in R to run through some straightforward predictive analytics/machine learning. Parsnip provides a flexible and …

Category:  Health Go Health

analyze the demographic and health surveys (dhs) with r

WEBclick here to view these three scripts for more detail about the demographic and health surveys (dhs), visit: the hand calculations for rates, risks, and other …

Category:  Health Go Health

Simulating Multi-state Models with R R-bloggers

WEBThe transitions can be characterized with a 6 x 6 transition matrix, which is a square-matrix where the (i,j) element is a positive integer if a transition from i to j is possible and NA …

Category:  Health Go Health

analyze the health and retirement study (hrs) with r R-bloggers

WEBthe hrs is the one and only longitudinal survey of american seniors. with a panel starting its third decade, the current pool of respondents includes older folks who …

Category:  Health Go Health

analyze the national health interview survey (nhis) with r

WEBthe national health interview survey (nhis) is a household survey about health status and utilization. each annual data set can be used to examine the disease …

Category:  Health Go Health

Cost-effectiveness analysis with multi-state and partitioned …

WEBThere are 4 possible transitions—(1) Healthy to Sick, (2) Sick to Healthy, (3) Healthy to Dead, and (4) Sick to Dead—that are characterized by specifying a transition matrix.

Category:  Health Go Health

Using tidymodels to Predict Health Insurance Cost R-bloggers

WEBBy Arta Seyedian Medical Cost Personal Datasets Insurance Forecast by using Linear Regression Link to Kaggle Page Link to GitHub Source Around the end of October 2020, …

Category:  Medical Go Health

Apple Health Export Part I R-bloggers

WEBThis post is Part I of a dive into the contents of the Apple Health Export. It will work through the mechanics of moving data from the Apple Health app out of your iPhone and into R …

Category:  Health Go Health

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