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Testing independence between two Poisson-generated multinomial variables in case-series and cohort studies
In case‐series or cohort studies, we propose a test of independence between the occurrences of two types of recurrent events (such as two repeated infections) related to an intermittent exposure (such as an antibiotic treatment). The test relies upon an extension of a recent method for analysing cas...
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| Published in: | Statistics in medicine 2005-12, Vol.24 (24), p.4035-4044 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c4253-218827704b4c18828b5d2fc6509e820a23463a128fdcbb6594f216089b5679b73 |
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| cites | cdi_FETCH-LOGICAL-c4253-218827704b4c18828b5d2fc6509e820a23463a128fdcbb6594f216089b5679b73 |
| container_end_page | 4044 |
| container_issue | 24 |
| container_start_page | 4035 |
| container_title | Statistics in medicine |
| container_volume | 24 |
| creator | Hocine, Mounia Guillemot, Didier Tubert-Bitter, Pascale Moreau, Thierry |
| description | In case‐series or cohort studies, we propose a test of independence between the occurrences of two types of recurrent events (such as two repeated infections) related to an intermittent exposure (such as an antibiotic treatment). The test relies upon an extension of a recent method for analysing case‐series data, in the presence of one type of recurrent event. The test statistic is derived from a bivariate Poisson generated‐multinomial distribution. Simulations for checking the validity of the test concerning the type I error and the power properties are presented. The test is illustrated using data from a cohort on antibiotics bacterial resistance in schoolchildren. Copyright © 2005 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/sim.2413 |
| format | article |
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Med</addtitle><description>In case‐series or cohort studies, we propose a test of independence between the occurrences of two types of recurrent events (such as two repeated infections) related to an intermittent exposure (such as an antibiotic treatment). The test relies upon an extension of a recent method for analysing case‐series data, in the presence of one type of recurrent event. The test statistic is derived from a bivariate Poisson generated‐multinomial distribution. Simulations for checking the validity of the test concerning the type I error and the power properties are presented. The test is illustrated using data from a cohort on antibiotics bacterial resistance in schoolchildren. 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Copyright © 2005 John Wiley & Sons, Ltd.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><pmid>16320271</pmid><doi>10.1002/sim.2413</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-0942-7441</orcidid><orcidid>https://orcid.org/0000-0003-4942-7753</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Statistics in medicine, 2005-12, Vol.24 (24), p.4035-4044 |
| issn | 0277-6715 1097-0258 |
| language | eng |
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| source | Wiley |
| subjects | Anti-Bacterial Agents - pharmacology bacterial resistance beta-Lactams - pharmacology bivariate multinomial case-series Child Child, Preschool cohort Cohort Studies conditional likelihood France Humans Life Sciences Methodology Pharyngeal Diseases - drug therapy Poisson Distribution recurrent events Santé publique et épidémiologie Statistics Streptococcus pneumoniae - drug effects Streptococcus pneumoniae - growth & development |
| title | Testing independence between two Poisson-generated multinomial variables in case-series and cohort studies |
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