Steven P. Sanderson II, MPH · @stevensanderson
74 followers · 423 posts · Server mstdn.social
By looking at the median, you can quickly and easily detect whether there is an excess of events, either positive or negative, occurring over time.
This is especially good for #healthcareanalytics when viewing #excess #mortality #lengthofstay or #readmission #rates
#r #package #tidyverse #blog #blogpost #healthcare #healthcaredata #healthcareanalytics #timeseries #timeseriesanalysis
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-01-31/
#timeseriesanalysis #timeseries #healthcaredata #Healthcare #blogpost #Blog #tidyverse #package #r #rates #readmission #lengthofstay #mortality #excess #healthcareanalytics
Steven P. Sanderson II, MPH · @stevensanderson
74 followers · 423 posts · Server mstdn.socialI updated healthyR.data it simply strips some dependency packages 📦 specifically cli, crayon and RStudioapi as they just weren’t necessary so I hope it makes it just a bit more lightweight in its use. I would love to hear about some data that people think should be added.
#healthcareanalytics #healthdata #Data #r
Steven P. Sanderson II, MPH · @stevensanderson
52 followers · 323 posts · Server mstdn.social
This will be inside of the upcoming release for my #r #package {healthyR.ts}
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-01-18/
#r #timeseries #timeseriesanalysis #geometric #brownian #motion #finance #options #stochastic #process #stockmarket #randomization #paths #healthcareanalytics #lengthofstay #future #investment #markets #riskmanagement
#riskmanagement #markets #investment #future #lengthofstay #healthcareanalytics #paths #randomization #stockmarket #process #stochastic #options #Finance #motion #Brownian #geometric #timeseriesanalysis #timeseries #package #r