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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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