To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies
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dig-cirad-fr-5754412024-01-28T22:32:48Z http://agritrop.cirad.fr/575441/ http://agritrop.cirad.fr/575441/ To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies. Vaumourin Elise, Vourc'h Gwenaël, Telfer Sandra, Lambin Xavier, Salih Diaeldin, Seitzer Ulrike, Morand Serge, Charbonnel Nathalie, Vayssier-Taussat Muriel, Gasqui Patrick. 2014. Frontiers in Cellular and Infection Microbiology, 4 (62), 11 p.https://doi.org/10.3389/fcimb.2014.00062 <https://doi.org/10.3389/fcimb.2014.00062> To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies Vaumourin, Elise Vourc'h, Gwenaël Telfer, Sandra Lambin, Xavier Salih, Diaeldin Seitzer, Ulrike Morand, Serge Charbonnel, Nathalie Vayssier-Taussat, Muriel Gasqui, Patrick eng 2014 Frontiers in Cellular and Infection Microbiology L72 - Organismes nuisibles des animaux L73 - Maladies des animaux U10 - Informatique, mathématiques et statistiques parasitose parasitologie maladie des animaux dynamique des populations épidémiologie transmission des maladies bartonella Theileria mutans Theileria parva Babesia relation hôte pathogène Babesia microti Anaplasma Theileria campagnol rongeur Bovidae méthode statistique étude de cas modèle mathématique logiciel Anaplasma phagocytophilum http://aims.fao.org/aos/agrovoc/c_5579 http://aims.fao.org/aos/agrovoc/c_5578 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2329 http://aims.fao.org/aos/agrovoc/c_9090 http://aims.fao.org/aos/agrovoc/c_31226 http://aims.fao.org/aos/agrovoc/c_16414 http://aims.fao.org/aos/agrovoc/c_755 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_31202 http://aims.fao.org/aos/agrovoc/c_388 http://aims.fao.org/aos/agrovoc/c_7708 http://aims.fao.org/aos/agrovoc/c_15241 http://aims.fao.org/aos/agrovoc/c_13948 http://aims.fao.org/aos/agrovoc/c_1038 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24008 http://aims.fao.org/aos/agrovoc/c_37064 Soudan Grande-Bretagne http://aims.fao.org/aos/agrovoc/c_7497 http://aims.fao.org/aos/agrovoc/c_3371 article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/575441/1/document_575441.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.3389/fcimb.2014.00062 10.3389/fcimb.2014.00062 info:eu-repo/semantics/altIdentifier/doi/10.3389/fcimb.2014.00062 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.3389/fcimb.2014.00062 |
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L72 - Organismes nuisibles des animaux L73 - Maladies des animaux U10 - Informatique, mathématiques et statistiques parasitose parasitologie maladie des animaux dynamique des populations épidémiologie transmission des maladies bartonella Theileria mutans Theileria parva Babesia relation hôte pathogène Babesia microti Anaplasma Theileria campagnol rongeur Bovidae méthode statistique étude de cas modèle mathématique logiciel Anaplasma phagocytophilum http://aims.fao.org/aos/agrovoc/c_5579 http://aims.fao.org/aos/agrovoc/c_5578 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2329 http://aims.fao.org/aos/agrovoc/c_9090 http://aims.fao.org/aos/agrovoc/c_31226 http://aims.fao.org/aos/agrovoc/c_16414 http://aims.fao.org/aos/agrovoc/c_755 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_31202 http://aims.fao.org/aos/agrovoc/c_388 http://aims.fao.org/aos/agrovoc/c_7708 http://aims.fao.org/aos/agrovoc/c_15241 http://aims.fao.org/aos/agrovoc/c_13948 http://aims.fao.org/aos/agrovoc/c_1038 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24008 http://aims.fao.org/aos/agrovoc/c_37064 http://aims.fao.org/aos/agrovoc/c_7497 http://aims.fao.org/aos/agrovoc/c_3371 L72 - Organismes nuisibles des animaux L73 - Maladies des animaux U10 - Informatique, mathématiques et statistiques parasitose parasitologie maladie des animaux dynamique des populations épidémiologie transmission des maladies bartonella Theileria mutans Theileria parva Babesia relation hôte pathogène Babesia microti Anaplasma Theileria campagnol rongeur Bovidae méthode statistique étude de cas modèle mathématique logiciel Anaplasma phagocytophilum http://aims.fao.org/aos/agrovoc/c_5579 http://aims.fao.org/aos/agrovoc/c_5578 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2329 http://aims.fao.org/aos/agrovoc/c_9090 http://aims.fao.org/aos/agrovoc/c_31226 http://aims.fao.org/aos/agrovoc/c_16414 http://aims.fao.org/aos/agrovoc/c_755 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_31202 http://aims.fao.org/aos/agrovoc/c_388 http://aims.fao.org/aos/agrovoc/c_7708 http://aims.fao.org/aos/agrovoc/c_15241 http://aims.fao.org/aos/agrovoc/c_13948 http://aims.fao.org/aos/agrovoc/c_1038 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24008 http://aims.fao.org/aos/agrovoc/c_37064 http://aims.fao.org/aos/agrovoc/c_7497 http://aims.fao.org/aos/agrovoc/c_3371 |
| spellingShingle |
L72 - Organismes nuisibles des animaux L73 - Maladies des animaux U10 - Informatique, mathématiques et statistiques parasitose parasitologie maladie des animaux dynamique des populations épidémiologie transmission des maladies bartonella Theileria mutans Theileria parva Babesia relation hôte pathogène Babesia microti Anaplasma Theileria campagnol rongeur Bovidae méthode statistique étude de cas modèle mathématique logiciel Anaplasma phagocytophilum http://aims.fao.org/aos/agrovoc/c_5579 http://aims.fao.org/aos/agrovoc/c_5578 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2329 http://aims.fao.org/aos/agrovoc/c_9090 http://aims.fao.org/aos/agrovoc/c_31226 http://aims.fao.org/aos/agrovoc/c_16414 http://aims.fao.org/aos/agrovoc/c_755 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_31202 http://aims.fao.org/aos/agrovoc/c_388 http://aims.fao.org/aos/agrovoc/c_7708 http://aims.fao.org/aos/agrovoc/c_15241 http://aims.fao.org/aos/agrovoc/c_13948 http://aims.fao.org/aos/agrovoc/c_1038 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24008 http://aims.fao.org/aos/agrovoc/c_37064 http://aims.fao.org/aos/agrovoc/c_7497 http://aims.fao.org/aos/agrovoc/c_3371 L72 - Organismes nuisibles des animaux L73 - Maladies des animaux U10 - Informatique, mathématiques et statistiques parasitose parasitologie maladie des animaux dynamique des populations épidémiologie transmission des maladies bartonella Theileria mutans Theileria parva Babesia relation hôte pathogène Babesia microti Anaplasma Theileria campagnol rongeur Bovidae méthode statistique étude de cas modèle mathématique logiciel Anaplasma phagocytophilum http://aims.fao.org/aos/agrovoc/c_5579 http://aims.fao.org/aos/agrovoc/c_5578 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2329 http://aims.fao.org/aos/agrovoc/c_9090 http://aims.fao.org/aos/agrovoc/c_31226 http://aims.fao.org/aos/agrovoc/c_16414 http://aims.fao.org/aos/agrovoc/c_755 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_31202 http://aims.fao.org/aos/agrovoc/c_388 http://aims.fao.org/aos/agrovoc/c_7708 http://aims.fao.org/aos/agrovoc/c_15241 http://aims.fao.org/aos/agrovoc/c_13948 http://aims.fao.org/aos/agrovoc/c_1038 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24008 http://aims.fao.org/aos/agrovoc/c_37064 http://aims.fao.org/aos/agrovoc/c_7497 http://aims.fao.org/aos/agrovoc/c_3371 Vaumourin, Elise Vourc'h, Gwenaël Telfer, Sandra Lambin, Xavier Salih, Diaeldin Seitzer, Ulrike Morand, Serge Charbonnel, Nathalie Vayssier-Taussat, Muriel Gasqui, Patrick To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies |
| format |
article |
| topic_facet |
L72 - Organismes nuisibles des animaux L73 - Maladies des animaux U10 - Informatique, mathématiques et statistiques parasitose parasitologie maladie des animaux dynamique des populations épidémiologie transmission des maladies bartonella Theileria mutans Theileria parva Babesia relation hôte pathogène Babesia microti Anaplasma Theileria campagnol rongeur Bovidae méthode statistique étude de cas modèle mathématique logiciel Anaplasma phagocytophilum http://aims.fao.org/aos/agrovoc/c_5579 http://aims.fao.org/aos/agrovoc/c_5578 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2329 http://aims.fao.org/aos/agrovoc/c_9090 http://aims.fao.org/aos/agrovoc/c_31226 http://aims.fao.org/aos/agrovoc/c_16414 http://aims.fao.org/aos/agrovoc/c_755 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_31202 http://aims.fao.org/aos/agrovoc/c_388 http://aims.fao.org/aos/agrovoc/c_7708 http://aims.fao.org/aos/agrovoc/c_15241 http://aims.fao.org/aos/agrovoc/c_13948 http://aims.fao.org/aos/agrovoc/c_1038 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24008 http://aims.fao.org/aos/agrovoc/c_37064 http://aims.fao.org/aos/agrovoc/c_7497 http://aims.fao.org/aos/agrovoc/c_3371 |
| author |
Vaumourin, Elise Vourc'h, Gwenaël Telfer, Sandra Lambin, Xavier Salih, Diaeldin Seitzer, Ulrike Morand, Serge Charbonnel, Nathalie Vayssier-Taussat, Muriel Gasqui, Patrick |
| author_facet |
Vaumourin, Elise Vourc'h, Gwenaël Telfer, Sandra Lambin, Xavier Salih, Diaeldin Seitzer, Ulrike Morand, Serge Charbonnel, Nathalie Vayssier-Taussat, Muriel Gasqui, Patrick |
| author_sort |
Vaumourin, Elise |
| title |
To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies |
| title_short |
To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies |
| title_full |
To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies |
| title_fullStr |
To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies |
| title_full_unstemmed |
To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies |
| title_sort |
to be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies |
| url |
http://agritrop.cirad.fr/575441/ http://agritrop.cirad.fr/575441/1/document_575441.pdf |
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