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Comparing Results Between Survey Analysis Software and the National Cancer Institute Joinpoint Regression Software
Summary
This report guides analysts on inconsistencies between Joinpoint software and survey analysis software for National Center for Health Statistics (NCHS) trend analysis. It explains why differences occur and offers recommendations for accurate survey data analysis.
Area of Science:
- Biostatistics
- Epidemiology
- Health Data Analysis
Background:
- National Center for Health Statistics (NCHS) guidelines recommend specific software for trend analysis of survey data.
- Joinpoint Regression Software and survey analysis software are commonly used for trend analysis.
- Apparent inconsistencies can arise between these software packages when analyzing survey data.
Purpose of the Study:
- To provide guidance on handling and explaining inconsistencies between Joinpoint software and survey analysis software.
- To supplement existing NCHS guidelines for analyzing trends in survey data.
- To assist analysts in making informed decisions for their data analysis.
Main Methods:
- Identified scenarios where inconsistencies between Joinpoint and survey analysis software may occur.
- Discussed plausible explanations for observed differences using text, examples, and FAQs.
- Focused on providing recommendations, cautions, and additional information rather than direct solutions.
Main Results:
- Inconsistencies frequently arise when piecewise regression models from Joinpoint software are estimated using survey analysis software.
- Successive slopes may not be statistically significant, leading to the removal of joinpoints in the final model.
- Potential explanations for these discrepancies are categorized into five main areas.
Conclusions:
- Understanding the reasons for software discrepancies is crucial for accurate trend analysis.
- Analysts should be aware of potential pitfalls when using Joinpoint and survey analysis software together.
- This report serves as a valuable resource for navigating complex trend analysis with NCHS survey data.
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