Testing for a change-point in registry data with an example on hypospadias.
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.
Simpkin
J M
JM
Liverpool Congenital Malformations Registry, Institute of Child Health, Royal Liverpool Children's Hospital, U.K.
Downham
D Y
DY
D006801:Humans; D007021:Hypospadias / Q000453:epidemiology*; D008297:Male; D011336:Probability; D012042:Registries; D006113:United Kingdom