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The Modified Kalman Filter approach for pooling information across time and across outcomes is shown to improve accuracy in national estimates of health outcomes including cancer, diabetes, and hypertension especially in small racial/ethnic subgroups. The developed SAS macro models true health states in each subgroup assuming a linear time evolution and an autoregressive deviation around such trend. The macro provides multiple options for users.
Table of Contents
Chapter One
Overview
Chapter Two
Getting Started
Chapter Three
Syntax and Parameters
Chapter Four
Examples
Chapter Five
Details and Theory
Chapter Six
Appendix. Details for Linux Users
Chapter Seven
Appendix. Advanced Macro Parameters
Chapter Eight
Acknowledgments:
Chapter Nine
Bibliography
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