Search alternatives:
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
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11101
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11102
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11103
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11104
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11105
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11106
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11107
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11108
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11109
Sociodemographic characteristics of the sample.
Published 2025“…A moderate negative correlation was observed between CAM and CAM-MYCS scores (r = −0.511; p < 0.001), indicating that increased awareness of real causes is associated with decreased belief in myths. …”
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11110
Relationships between hardness and IDDSI levels.
Published 2025“…Cohesiveness varied without a clear linear trend, showing significant changes at specific IDDSI levels for meats, grains, and tubers (<i>p</i>≤0.05). …”
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11111
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11112
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11113
Rabbit length of stay data.
Published 2024“…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
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11114
Surrender reasons (n = 649).
Published 2024“…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
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11115
R script.
Published 2024“…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
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11116
Surrender reasons and descriptions.
Published 2024“…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
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11117
Number of rabbit intakes by intake year.
Published 2024“…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
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11118
Rabbit intake data.
Published 2024“…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
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11119
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11120