Testing for a change-point in registry data with an example on hypospadias
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1Liverpool Congenital Malformations Registry, Institute of Child Health, Royal Liverpool Children's Hospital, U.K.
Statistics in Medicine
|March 1, 1988
Abstract:
The Poisson distribution is often suitable for analysing non-infectious disorders with low prevalence rates. The numbers of babies born with hypospadias in the Liverpool Congenital Malformations Registry during 1960 to 1982 do not fit a Poisson distribution with constant prevalence rates, but a change-point Poisson process does fit. A significance test is described and its power is considered in two simulation studies. A small discrepancy is noted that does not diminish appreciably when Bartlett's correction is applied.