Odds ratio estimation in a steady-state population.

S C Newman

doi:10.1016/0895-4356(88)90009-1

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Odds ratio estimation in a steady-state population.

S C Newman

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Abstract

A three-state Markov process is used to model a steady-state population. The classical P = ID equation is derived, as well as a number of identities originally reported by Miettinen (Am J Epidemiol 1976; 103: 226-235) and Freeman and Hutchison (Am J Epidemiol 1980; 112: 707-723. Ibid. 1986; 124: 134-149). Using theoretical and empirical methods it is demonstrated that the odds ratio derived from a prevalence-prevalence case-control study conducted in a steady-state population will generally be a biased estimate of the incidence density ratio. However the bias will not likely be of practical importance unless the incidence density ratio is at least 10 or more.

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S C Newman. 1988. Odds ratio estimation in a steady-state population.. https://doi.org/10.1016/0895-4356(88)90009-1

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