SOA Norms Report

  1. Introduction
  2. Collecting the Raw Data
    1. ARIC
    2. GMBI
    3. NACC
    4. MCSA
  3. Summarizing the Raw Data
    1. Demographics
    2. Instruments
  4. Generating the Normative Samples
    1. ARIC
    2. GMBI
    3. NACC
    4. MCSA
    5. Pooled
  5. Summarizing the Normative Data
    1. Demographics
    2. Instruments
    3. Groups by Instruments in the Pooled Sample
  6. Generating Instrument Level Models
    1. Notes on the Trail Making Tests
    2. A Note on the LDST
  7. Generating Domain Level Models
  8. Generating Algorithmic Classifications

Generating the Normative Samples

MCSA

  • Multiple Observations : If a participant had multiple observations, then only the earliest visit was used.
  • Cognitive Status : We excluded participants who did not have a "Normal" Cognitive status.
  • Race : Due to a small sample size, we excluded black participants.
  • Missing Instruments : We excluded participants who had zero recorded cognitive tests.
  • Age : We excluded participants who were younger than 55 years of age.
  • Missing Demographics : We excluded participants who were missing information about either their age, education, sex, or race.