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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
3
|
| pubmed:dateCreated |
1988-5-16
|
| pubmed:abstractText |
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.
|
| pubmed:commentsCorrections | |
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Mar
|
| pubmed:issn |
0277-6715
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
7
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
387-93
|
| pubmed:dateRevised |
2006-11-15
|
| pubmed:meshHeading | |
| pubmed:year |
1988
|
| pubmed:articleTitle |
Testing for a change-point in registry data with an example on hypospadias.
|
| pubmed:affiliation |
Liverpool Congenital Malformations Registry, Institute of Child Health, Royal Liverpool Children's Hospital, U.K.
|
| pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|