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Multivariate analysis of pacemaker patient survivorship
Pacing and Clinical Electrophysiology : PACE
|May 1, 1983
Summary
Evaluating multiple patient mortality risk factors is crucial. A piecewise parametric model offers a simple, efficient tool for concise risk characterization and routine use.
Area of Science:
- Biostatistics
- Epidemiology
- Health Services Research
Background:
- Accurate patient mortality prediction requires evaluating multiple risk factors.
- Existing models may lack conciseness or practical utility for routine application.
Purpose of the Study:
- To present a multivariate statistical model for combining patient mortality risk factors.
- To demonstrate the utility of a piecewise parametric model for practical risk assessment.
Main Methods:
- Utilized a large dataset for statistical analysis.
- Employed a piecewise parametric multivariate model.
- Included a simulated example to illustrate model application.
Main Results:
- The piecewise parametric model proved to be simple and efficient.
- The model provides a concise characterization of mortality based on multiple risk factors.
- Data analysis results offer a valuable reference for future research.
Conclusions:
- The piecewise parametric model is a suitable tool for routine mortality risk evaluation.
- This approach enhances the concise characterization of patient mortality.
- Findings support further exploration and application of the model.