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Understanding Disease Frequency in Studies

Apr 27, 2025

Lecture Notes: Disease Frequency

Overview

  • Previous Topic: Accuracy of screening and diagnosis methods
    • Key measurements: Reliability and Validity
    • Importance: All good studies should report reliability and validity

Study Methods for Disease Frequency

  1. Cross-Sectional Surveys

    • Focus: Prevalence of disease in the population
    • Method: Random sample from a sampling frame
      • Sampling frame: Source of demographic or population information
      • Provides a snapshot of how much of a population has disease
    • Data Collection: Questionnaires or interviews
    • Target Population: Entire population of interest
    • Sample Population: A representative sample
    • Prevalence Calculation:
      • Formula: Diseased individuals/Total population
      • Reported as a percentage or decimal
    • Case Definition: Categorization of disease presence or absence
    • Severity: Improved measurement over binary presence/absence
      • Uses disease indices like DMFT (Decayed Missing Filled Teeth Index)
  2. Prospective Cohort Studies

    • Focus: Incidence of disease in a population
    • Method: Random sample from a healthy at-risk population
      • Baseline and follow-up assessments to track new disease development
    • Incidence Calculation:
      • Formula: New cases/Population at risk
      • Expresses the probability of developing disease
  3. Case Studies

    • Focus: Rare conditions in individuals
    • Method: Report interesting or unknown cases

Important Concepts

  • Sampling Variability/Error:

    • 95% Confidence Interval: Likely range of population estimate
    • P-Value: Type 1 error probability; lower values indicate meaningful results
    • Increasing sample size reduces sampling variability
  • Convenience Sampling:

    • Non-random sampling leading to potential bias
    • Issues: Incomplete data due to non-response, differing response rates

Statistical Considerations

  • Importance of equal group sizes for valid comparisons
  • Non-overlapping confidence intervals indicate statistically significant differences

Next Topic: Etiology

  • Discussion on the third major aspect of disease studies

  • Note: Etiology will be covered in the next video.