Skip to main content

A package with methods for analyzing the Optum Labs/UHC Stellar program

Project description

Stellar

Overview

Stellar is a program that runs pilots to increase quality of care for UHG members. For more information and to see how this package is used, see the project_stellar repo.

Installation

In the terminal, run:
pip install stellarcare

Motivation

Right now, methods are mainly geared towards building cohorts for propensity score matching in causal inference analyses of different Stellar pilots. The vision is to continue to expand this repo to make it easier to revise and re-run Stellar analyses for stakeholders. The hope is that by containing methods in a standalone repo, fewer mistakes will be made and code review will be easier to perform.

Bugs

To report a bug, please create an issue.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stellarcare-1.0.5.tar.gz (19.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

stellarcare-1.0.5-py3-none-any.whl (19.9 kB view details)

Uploaded Python 3

File details

Details for the file stellarcare-1.0.5.tar.gz.

File metadata

  • Download URL: stellarcare-1.0.5.tar.gz
  • Upload date:
  • Size: 19.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.7

File hashes

Hashes for stellarcare-1.0.5.tar.gz
Algorithm Hash digest
SHA256 283117c95dabfcb9add7bfc8c7b4b3d7d6c435fca4ce4a7a226acea740aff893
MD5 39db523a23757cfd9348fa8581a1c72d
BLAKE2b-256 3f6f4be2795133beb2d0458c0b0f296461611b1491c8917488471ada49ce7579

See more details on using hashes here.

File details

Details for the file stellarcare-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: stellarcare-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 19.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.7

File hashes

Hashes for stellarcare-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 4d14e3423b76279c129965f8a58956f3aa9086bf7ddf106e9b45f695e5e66f60
MD5 4cb222bf5e0ce5fce3c3ae8a4b82492f
BLAKE2b-256 79c81b53d725c820b91eef9c3a5f1f48cde16719a3679a04e1a530a79adf7d30

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page