Analysis of aggregation, a worked example: numbers of ticks on red grouse chicks
The statistical aggregation of parasites among hosts is often described empirically by the negative binomial (Poisson-gamma) distribution. Alternatively, the Poisson-lognormal model can be used. This has the advantage that it can be fitted as a generalized linear mixed model, thereby quantifying the...
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| Veröffentlicht in: | Parasitology 2001-05, Vol.122 (5), p.563-569 |
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| creator | ELSTON, D. A. MOSS, R. BOULINIER, T. ARROWSMITH, C. LAMBIN, X. |
| description | The statistical aggregation of parasites among hosts is often described empirically by the negative binomial (Poisson-gamma) distribution. Alternatively, the Poisson-lognormal model can be used. This has the advantage that it can be fitted as a generalized linear mixed model, thereby quantifying the sources of aggregation in terms of both fixed and random effects. We give a worked example, assigning aggregation in the distribution of sheep ticks Ixodes ricinus on red grouse Lagopus lagopus scoticus chicks to temporal (year), spatial (altitude and location), brood and individual effects. Apparent aggregation among random individuals in random broods fell 8-fold when spatial and temporal effects had been accounted for. |
| doi_str_mv | 10.1017/S0031182001007740 |
| format | Article |
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A. ; MOSS, R. ; BOULINIER, T. ; ARROWSMITH, C. ; LAMBIN, X.</creator><creatorcontrib>ELSTON, D. A. ; MOSS, R. ; BOULINIER, T. ; ARROWSMITH, C. ; LAMBIN, X.</creatorcontrib><description>The statistical aggregation of parasites among hosts is often described empirically by the negative binomial (Poisson-gamma) distribution. Alternatively, the Poisson-lognormal model can be used. This has the advantage that it can be fitted as a generalized linear mixed model, thereby quantifying the sources of aggregation in terms of both fixed and random effects. We give a worked example, assigning aggregation in the distribution of sheep ticks Ixodes ricinus on red grouse Lagopus lagopus scoticus chicks to temporal (year), spatial (altitude and location), brood and individual effects. Apparent aggregation among random individuals in random broods fell 8-fold when spatial and temporal effects had been accounted for.</description><identifier>ISSN: 0031-1820</identifier><identifier>EISSN: 1469-8161</identifier><identifier>DOI: 10.1017/S0031182001007740</identifier><identifier>PMID: 11393830</identifier><identifier>CODEN: PARAAE</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>analysing aggregation ; Animal and plant ecology ; Animal, plant and microbial ecology ; Animals ; Biological and medical sciences ; Bird Diseases - parasitology ; Birds ; Data collection ; Demecology ; Ectoparasites ; Field study ; Fundamental and applied biological sciences. Psychology ; generalized linear mixed model ; Generalized linear models ; Ixodes ; Ixodes ricinus ; Lagopus lagopus scoticus ; Poisson Distribution ; Poisson-lognormal distribution ; Population density ; Protozoa. Invertebrata ; Random Allocation ; Sheep - parasitology ; Tick Infestations - veterinary ; variance components</subject><ispartof>Parasitology, 2001-05, Vol.122 (5), p.563-569</ispartof><rights>2001 Cambridge University Press</rights><rights>2001 INIST-CNRS</rights><rights>Copyright Cambridge University Press May 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c580t-5cbc55d227c2f85aca6c02bc2fd5dafc82b943212622b06872e6f57c6bfdb1953</citedby><cites>FETCH-LOGICAL-c580t-5cbc55d227c2f85aca6c02bc2fd5dafc82b943212622b06872e6f57c6bfdb1953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0031182001007740/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,27901,27902,55603</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1037203$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11393830$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>ELSTON, D. A.</creatorcontrib><creatorcontrib>MOSS, R.</creatorcontrib><creatorcontrib>BOULINIER, T.</creatorcontrib><creatorcontrib>ARROWSMITH, C.</creatorcontrib><creatorcontrib>LAMBIN, X.</creatorcontrib><title>Analysis of aggregation, a worked example: numbers of ticks on red grouse chicks</title><title>Parasitology</title><addtitle>Parasitology</addtitle><description>The statistical aggregation of parasites among hosts is often described empirically by the negative binomial (Poisson-gamma) distribution. Alternatively, the Poisson-lognormal model can be used. This has the advantage that it can be fitted as a generalized linear mixed model, thereby quantifying the sources of aggregation in terms of both fixed and random effects. We give a worked example, assigning aggregation in the distribution of sheep ticks Ixodes ricinus on red grouse Lagopus lagopus scoticus chicks to temporal (year), spatial (altitude and location), brood and individual effects. Apparent aggregation among random individuals in random broods fell 8-fold when spatial and temporal effects had been accounted for.</description><subject>analysing aggregation</subject><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Bird Diseases - parasitology</subject><subject>Birds</subject><subject>Data collection</subject><subject>Demecology</subject><subject>Ectoparasites</subject><subject>Field study</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>generalized linear mixed model</subject><subject>Generalized linear models</subject><subject>Ixodes</subject><subject>Ixodes ricinus</subject><subject>Lagopus lagopus scoticus</subject><subject>Poisson Distribution</subject><subject>Poisson-lognormal distribution</subject><subject>Population density</subject><subject>Protozoa. Invertebrata</subject><subject>Random Allocation</subject><subject>Sheep - parasitology</subject><subject>Tick Infestations - veterinary</subject><subject>variance components</subject><issn>0031-1820</issn><issn>1469-8161</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkUtv1TAQhS1ERW8LP4ANihDqisB4fP0Iu1JBW1SJt2Bn2Y4T0pvHxU5E--_rcCOKQIiV7Zlvjo7nEPKQwjMKVD7_CMAoVQhAAaRcwx2yomtR5IoKepes5nY-9_fJQYyXACCYwHtkn1JWMMVgRd4d96a9jk3MhiozdR18bcZm6J9mJvsxhI0vM39lum3rX2T91FkffpJj4zbp0mchAXUYpugz920u3id7lWmjf7Cch-Tz61efTs7yi7en5yfHF7njCsacO-s4LxGlw0px44xwgDY9Sl6ayim0xZohRYFoQSiJXlRcOmGr0tKCs0NytNPdhuH75OOouyY637am98mOlqAKrrD4L0gVVUKIWfHxH-DlMIW0nqgxbRXXTIgE0R3kwhBj8JXehqYz4VpT0HMo-q9Q0syjRXiynS9vJ5YUEvBkAUx0pq2C6V0Tf1NmEoElLN9hTRz91a-2CRstJJNci9P3-uXXN4p--YAaE88Wr6azoSlrf_ujf7u9AZbrsDY</recordid><startdate>20010501</startdate><enddate>20010501</enddate><creator>ELSTON, D. 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Psychology</topic><topic>generalized linear mixed model</topic><topic>Generalized linear models</topic><topic>Ixodes</topic><topic>Ixodes ricinus</topic><topic>Lagopus lagopus scoticus</topic><topic>Poisson Distribution</topic><topic>Poisson-lognormal distribution</topic><topic>Population density</topic><topic>Protozoa. Invertebrata</topic><topic>Random Allocation</topic><topic>Sheep - parasitology</topic><topic>Tick Infestations - veterinary</topic><topic>variance components</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ELSTON, D. 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We give a worked example, assigning aggregation in the distribution of sheep ticks Ixodes ricinus on red grouse Lagopus lagopus scoticus chicks to temporal (year), spatial (altitude and location), brood and individual effects. Apparent aggregation among random individuals in random broods fell 8-fold when spatial and temporal effects had been accounted for.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>11393830</pmid><doi>10.1017/S0031182001007740</doi><tpages>7</tpages></addata></record> |
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| subjects | analysing aggregation Animal and plant ecology Animal, plant and microbial ecology Animals Biological and medical sciences Bird Diseases - parasitology Birds Data collection Demecology Ectoparasites Field study Fundamental and applied biological sciences. Psychology generalized linear mixed model Generalized linear models Ixodes Ixodes ricinus Lagopus lagopus scoticus Poisson Distribution Poisson-lognormal distribution Population density Protozoa. Invertebrata Random Allocation Sheep - parasitology Tick Infestations - veterinary variance components |
| title | Analysis of aggregation, a worked example: numbers of ticks on red grouse chicks |
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