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http://hdl.handle.net/1942/387
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DC Field | Value | Language |
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dc.contributor.author | Corcoran, Christopher | - |
dc.contributor.author | Ryan, Louise | - |
dc.contributor.author | Mehta, Cyrus | - |
dc.contributor.author | Senchaudhuri, Pralay | - |
dc.contributor.author | Patel, Nitin | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2004-10-26T07:25:25Z | - |
dc.date.available | 2004-10-26T07:25:25Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | Biometrics, 57(3). p. 941-948 | - |
dc.identifier.issn | 0006-341X | - |
dc.identifier.uri | http://hdl.handle.net/1942/387 | - |
dc.description.abstract | The problem of testing a dose-response relationship in the presence of exchangeably correlated binary data has been addressed using a variety of models. Most commonly used approaches are derived from likelihood or generalized estimating equations and rely on large-sample theory to justify their inferences. However, while earlier work has determined that these methods may perform poorly for small or sparse samples, there are few alternatives available to those faced with such data. We propose an exact trend test for exchangeably correlated binary data when groups of correlated observations are ordered. This exact approach is based on an exponential model derived by Molenberghs and Ryan (1999) and Ryan and Molenberghs (1999) and provides natural analogues to Fisher's exact test and the binomial trend test when the data are correlated. We use a graphical method with which one can efficiently compute the exact tail distribution and apply the test to two examples. | - |
dc.description.sponsorship | This work was supported by grants CA48061 and CA61050 from the National Institutes of Health. We are grateful also to Debra Schaumberg from the Harvard School of Public Health for providing the data used in example 1 and to the editors and reviewers for their helpful comments. | - |
dc.language.iso | en | - |
dc.publisher | INTERNATIONAL BIOMETRIC SOC | - |
dc.subject | Non and semiparametric methods | - |
dc.subject | Clustered data | - |
dc.subject | Categorical data | - |
dc.subject.other | binary data; clustered data; exact test; network algorithm | - |
dc.title | An exact trend test for correlated binary data | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 948 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 941 | - |
dc.identifier.volume | 57 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1111/j.0006-341X.2001.00941.x | - |
dc.identifier.isi | 000170732400036 | - |
item.fullcitation | Corcoran, Christopher; Ryan, Louise; Mehta, Cyrus; Senchaudhuri, Pralay; Patel, Nitin & MOLENBERGHS, Geert (2001) An exact trend test for correlated binary data. In: Biometrics, 57(3). p. 941-948. | - |
item.accessRights | Restricted Access | - |
item.fulltext | With Fulltext | - |
item.contributor | Corcoran, Christopher | - |
item.contributor | Ryan, Louise | - |
item.contributor | Mehta, Cyrus | - |
item.contributor | Senchaudhuri, Pralay | - |
item.contributor | Patel, Nitin | - |
item.contributor | MOLENBERGHS, Geert | - |
item.validation | ecoom 2002 | - |
crisitem.journal.issn | 0006-341X | - |
crisitem.journal.eissn | 1541-0420 | - |
Appears in Collections: | Research publications |
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Corcoran_et_al-2001-Biometrics.pdf Restricted Access | Published version | 762.87 kB | Adobe PDF | View/Open Request a copy |
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