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[A computer program to calculate expected cases in a dynamic cohort]

A Micheli1, V Krogh

  • 1Divisione di Epidemiologia, Istituto Nazionale dei Tumori, Milano.

Epidemiologia E Prevenzione
|September 1, 1994
PubMed
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A new computer program, ECIDC (Expected Cases in Dynamic Cohorts), calculates expected cases in cohort studies by considering aging and competitive mortality. This tool aids in power calculations and simulations for incidence and mortality trends.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Public Health Research

Background:

  • Existing methods for cohort studies primarily calculate person-years, not directly expected cases.
  • Accurate estimation of expected cases is crucial for power calculations and trend analysis in cohort studies.
  • Dynamic cohorts require methods that account for aging, time-varying incidence, and competitive mortality.

Purpose of the Study:

  • To introduce ECIDC (Expected Cases in Dynamic Cohorts), a novel computerized program for calculating expected cases in prospective cohort studies.
  • To demonstrate ECIDC's capability to directly estimate expected cases, incorporating cohort aging and competitive mortality.
  • To showcase the utility of ECIDC in power calculations and simulation studies for epidemiological research.

Main Methods:

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  • ECIDC utilizes only the recruitment date for each individual in a dynamic cohort.
  • The program incorporates age-specific incidence and mortality rates from reference populations.
  • It accounts for competitive mortality and period effects, estimating and eliminating expected deaths.
  • When reference data is unavailable, ECIDC can compile estimates of age-specific incidence and mortality trends.

Main Results:

  • ECIDC directly calculates the number of expected cases, surpassing traditional person-year calculations.
  • The program effectively models the impact of aging and competitive mortality on expected case counts.
  • Simulations demonstrate the program's potential for accurate incidence and mortality trend analysis.

Conclusions:

  • ECIDC provides a significant advancement for calculating expected cases in dynamic cohort studies.
  • The program enhances the precision of power calculations and the reliability of simulation studies.
  • ECIDC is a valuable tool for epidemiologists and biostatisticians engaged in cohort research.