Change Points Analysis for the Trend of Count Data

III

https://doi.org/10.22214/ijraset.2021.33151

March 2021

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Change Points Analysis for the Trend of Count Data

Published on Apr 23, 2021

IJRASET

Change point analysis is a technique for detecting change in trend over time. Seg- mented regression analysis and joinpoint analysis are used to try to determine the most important interventions which impact rates of healthcare associated infections (HAIs). AiMs: Use change point analysis to determine which interventions reduce rates of HAIs. Data and Methods: The data on HAIs was monitored by Health Protection Scotland (HPS) and includes staphylococcus aureus bacteraemia (SAB) and clostridium difficile infection (CDI). Since 2004, several interventions were implemented by NHS to reduce the rates and these were reported by Health Protection Scotland (HPS). Segmented regression and joinpoint models are investigated and developed to detect times when the indection rates changed significantly. Profile likelihood and bootstrapping are used to construct confidence intervals for the joinpoints.

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