random-effects, negative binomial regression panel models Search Results


99
STATA Corporation negative binomial regression panel models
Negative Binomial Regression Panel Models, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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RStudio generalised linear mixed model (glmm) with the negative binomial distribution
Generalised Linear Mixed Model (Glmm) With The Negative Binomial Distribution, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
generalised linear mixed model (glmm) with the negative binomial distribution - by Bioz Stars, 2026-10
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ncss llc negative binomial regression
Negative Binomial Regression, supplied by ncss llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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DuPont de Nemours negative binomial regression
Negative Binomial Regression, supplied by DuPont de Nemours, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random-effects%2C+negative+binomial+regression+panel+models/negative+binomial+regression/pm34344617-113-0-50
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PhenoPath pseudoga
Pseudoga, supplied by PhenoPath, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
pseudoga - by Bioz Stars, 2026-10
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CH Instruments negative binomial gam models
Seasonal variation in the activity <t>of</t> <t>Myotis</t> bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a <t>GAM,</t> effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .
Negative Binomial Gam Models, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random-effects%2C+negative+binomial+regression+panel+models/logistic+regression+model/pmc09502064-204-23-6
Average 90 stars, based on 1 article reviews
negative binomial gam models - by Bioz Stars, 2026-10
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Eluru Municipal latent segmentation based poisson and negative binomial models
Seasonal variation in the activity <t>of</t> <t>Myotis</t> bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a <t>GAM,</t> effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .
Latent Segmentation Based Poisson And Negative Binomial Models, supplied by Eluru Municipal, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random-effects%2C+negative+binomial+regression+panel+models/latent+class/pm32559657-122-58-63
Average 90 stars, based on 1 article reviews
latent segmentation based poisson and negative binomial models - by Bioz Stars, 2026-10
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ncss llc negative binomial regression modelling technique
Seasonal variation in the activity <t>of</t> <t>Myotis</t> bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a <t>GAM,</t> effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .
Negative Binomial Regression Modelling Technique, supplied by ncss llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random-effects%2C+negative+binomial+regression+panel+models/negative+binomial+regression+modelling+technique/10__24940_slash_theijst_slash_2023_slash_v11_slash_i11_slash_st2311___002-79-37-108
Average 90 stars, based on 1 article reviews
negative binomial regression modelling technique - by Bioz Stars, 2026-10
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OmicSoft Corporation arraystudio
Seasonal variation in the activity <t>of</t> <t>Myotis</t> bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a <t>GAM,</t> effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .
Arraystudio, supplied by OmicSoft Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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CLC Bio clc genomics workbench 9.5.2
Seasonal variation in the activity <t>of</t> <t>Myotis</t> bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a <t>GAM,</t> effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .
Clc Genomics Workbench 9.5.2, supplied by CLC Bio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random-effects%2C+negative+binomial+regression+panel+models/clc+genomics+workbench/pmc08224475-154-7-16
Average 90 stars, based on 1 article reviews
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86
Pasteur Institute negative binomial regression ii
Seasonal variation in the activity <t>of</t> <t>Myotis</t> bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a <t>GAM,</t> effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .
Negative Binomial Regression Ii, supplied by Pasteur Institute, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random-effects%2C+negative+binomial+regression+panel+models/binomial+ii+negative+regression/pmc12842571-110-13-27
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Staples negative binomial baseline model intercept only
Seasonal variation in the activity <t>of</t> <t>Myotis</t> bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a <t>GAM,</t> effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .
Negative Binomial Baseline Model Intercept Only, supplied by Staples, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Seasonal variation in the activity of Myotis bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .

Journal: Ecology and Evolution

Article Title: Seasonal swarming behavior of Myotis bats revealed by integrated monitoring, involving passive acoustic monitoring with automated analysis, trapping, and video monitoring

doi: 10.1002/ece3.9344

Figure Lengend Snippet: Seasonal variation in the activity of Myotis bats at “Middle Earth” cave in 2018. Panel (a) shows all Myotis species combined, detected as full spectrum sonograms and identified by automated identification to genus level using the Bat Classify software. The smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. The temperature data shown in panel (b) were obtained from the mouth of the cave at dusk, and the smoothed seasonal pattern (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. Seasonal activity patterns of individual taxa are shown in panels (c)–(f); the smoothed seasonal pattern for each taxon (fitted using a GAM, effective degrees of freedom = 5) is shown in addition to the raw data. For all graphs, the upper and lower smoothed dotted lines show ±1 SE, respectively. The GAM analyses for these seasonal variations are shown in Tables and .

Article Snippet: Capture data were analyzed using a Chi‐squared approach to test for sex‐ratio differences for each Myotis species within and between years, and using negative binomial GAM models to examine seasonal and between‐year variation in capture rate.

Techniques: Activity Assay, Software

Seasonal variation in the activity of Myotis bats (all species combined) at “Hobbit Hole” cave in 2015–2017, measured as the number of zero crossing files, and identified to genus level by visual inspection of the resulting sonograms. Fitted lines show GAM analysis of activity in each year (Table ). Standard errors not included for the sake of clarity.

Journal: Ecology and Evolution

Article Title: Seasonal swarming behavior of Myotis bats revealed by integrated monitoring, involving passive acoustic monitoring with automated analysis, trapping, and video monitoring

doi: 10.1002/ece3.9344

Figure Lengend Snippet: Seasonal variation in the activity of Myotis bats (all species combined) at “Hobbit Hole” cave in 2015–2017, measured as the number of zero crossing files, and identified to genus level by visual inspection of the resulting sonograms. Fitted lines show GAM analysis of activity in each year (Table ). Standard errors not included for the sake of clarity.

Article Snippet: Capture data were analyzed using a Chi‐squared approach to test for sex‐ratio differences for each Myotis species within and between years, and using negative binomial GAM models to examine seasonal and between‐year variation in capture rate.

Techniques: Activity Assay

Catches of different Myotis species in 2017–2018. Captures are plotted against calendar date, but in each year, the timing of peak activity was different. Solid lines represent model fitted lines from the GAM model for each taxon described in Table (negative binomial error family, log‐link function, maximum k ‐value = 40). Dashed lines represent ±1SE.

Journal: Ecology and Evolution

Article Title: Seasonal swarming behavior of Myotis bats revealed by integrated monitoring, involving passive acoustic monitoring with automated analysis, trapping, and video monitoring

doi: 10.1002/ece3.9344

Figure Lengend Snippet: Catches of different Myotis species in 2017–2018. Captures are plotted against calendar date, but in each year, the timing of peak activity was different. Solid lines represent model fitted lines from the GAM model for each taxon described in Table (negative binomial error family, log‐link function, maximum k ‐value = 40). Dashed lines represent ±1SE.

Article Snippet: Capture data were analyzed using a Chi‐squared approach to test for sex‐ratio differences for each Myotis species within and between years, and using negative binomial GAM models to examine seasonal and between‐year variation in capture rate.

Techniques: Activity Assay

Hourly activity of different Myotis species across the night, across the 2018 peak swarming period. The vertical lines indicate the changing night lengths throughout the study period, and the colors indicate respective weeks. (a) Overnight distribution of Myotis nattereri calls. (b) Overnight distribution of Myotis daubentonii calls. Vertical lines and colors represent mean time of sunrise during each week of the study period. Fitted lines show GAM analysis for each week throughout the swarming period (Tables and ). Standard errors are not shown for the sake of clarity.

Journal: Ecology and Evolution

Article Title: Seasonal swarming behavior of Myotis bats revealed by integrated monitoring, involving passive acoustic monitoring with automated analysis, trapping, and video monitoring

doi: 10.1002/ece3.9344

Figure Lengend Snippet: Hourly activity of different Myotis species across the night, across the 2018 peak swarming period. The vertical lines indicate the changing night lengths throughout the study period, and the colors indicate respective weeks. (a) Overnight distribution of Myotis nattereri calls. (b) Overnight distribution of Myotis daubentonii calls. Vertical lines and colors represent mean time of sunrise during each week of the study period. Fitted lines show GAM analysis for each week throughout the swarming period (Tables and ). Standard errors are not shown for the sake of clarity.

Article Snippet: Capture data were analyzed using a Chi‐squared approach to test for sex‐ratio differences for each Myotis species within and between years, and using negative binomial GAM models to examine seasonal and between‐year variation in capture rate.

Techniques: Activity Assay