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Growth curve modelling revealed that compared to the control, the three intervention groups all showed reduced levels of household consumption (an average reduction of 11.3 L per person per day) over the course of the interventions, and for some months afterwards.
The recent blind assessment of methods for GPCR structure modelling revealed that the best predictions relied on homology modelling approaches and that progress in the GPCR homology model building field will require improvements in the current prediction methods to "add value" to the best available templates [59].
Multivariate Cox proportional hazards modelling revealed that the normal track doctors had a significantly higher risk of leaving rural areas at about 1.3 times the CPIRD doctors.
Repeated measures modelling revealed that anti-Xa levels differed in a linear fashion with the dose of enoxaparin administered, and the time at which the blood samples were drawn.
Multivariate Cox proportional hazards modelling revealed that significant preprocedural MR had an independent association with mortality (HR 4.94 (95% CI 2.07 to 11.76), p<0.001) as did estimated glomerular filtration rate (HR 0.97 (95% CI 0.95 to 0.99), p=0.001).
Multivariate modelling revealed that NPI status and ER/PR status both independently and significantly affected the chances of developing metastatic disease in addition to the deleterious effect seen for patients having a wound complication (Table 2).
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Tertiary structure modeling revealed that its C-terminus possesses eight blade β-propeller architecture.
Multivariate modeling revealed that SLSC imaging is a significant predictor of improved image quality with p ≤ 0.002.
As human societies evolved, modeling reveals that allowing both males and females to choose camp members reduces relatedness.
The radar images ruled out the binary model, revealing that Geographos is a single highly elongated object.
Cox proportional hazard models revealed that nERβ2 predicted shorter time to POM.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com