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Press releases

PScore: the first Premium Add-On of Statistics for Data Analysis!

SPS strengthens its factory soul with the development of an Add-On dedicated to Propensity Score, available from Version 27 of the Solution powered by SPSS

 

Bologna, 16 December 2020 

SPS, historical protagonist of the world of Statistical Analysis,

responds to the needs of many interested in the

Propensity Score Matching with the development of a new Add-On

for the Statistics for Data Analysis Solution.

👩‍⚕️ Pscore for Propensity Score

The desire to facilitate its users in their work

newspaper, prompted SPS to target the developer team

in this project, implemented today in the first Premium Add-On of the Statistics for Data Analysis Solution.

 

 SPS Data Science team developed PScore:

  • Self-installing, with a few simple steps

  • Activatedwith a simple license code

  • Integratedand accessible from the Analyze menu of the Statistics for Data Analysis Solution

 

Propensity Score Matching in Statistics for Data Analysis

The Propensity Score Matching technique is useful for a large amount of cases, such as data from health registers or medical records, thanks to which it is possible to explore the effectiveness of a treatment in a large number of subgroups of patients and obtain greater generalizability (compared to a trial) at a lower cost and time.

In contrast to observed-data studies, those that use data from health registries, the baseline characteristics of treated and untreated patients may be completely skewed.

 

🥁 SPS: evolution continues

SPS continues to demonstrate that it has a very dynamic vision of the market: at the end of last year it presented the LauchBox, to facilitate its users in orienting themselves in the use of the Statistics for Data Analysis Solution, again in 2019 it launched the App of the Solution and at the end of 2020 he strengthens this inclination as a creator of Solutions with a Premium Add-On. PScore will be available soon with version 27 of the Solution powered by SPSS.

Editorial contacts

Phone: 051 252573

Email: pr@spss.it

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