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Objective: To predict the FSH response (threshold) dose in normogonadotropic, anovulatory infertile women undergoing gonadotropin induction of ovulation.
Objective: To predict the chance of total fertilization failure (TFF) before the day of ovum pickup with known semen and female variables.
Objective: To predict pregnancy outcome and multiple gestation using a common parameter by which hCG values are made comparable independently of the day of blood sampling.
The variations of the physics-mechanics rock properties preceding to the failure allows using the different geophysical methods sensitive to such variations with an objective to predict the failure.
In contrast, tools with the objective to predict the energy consumption in production and disposal are not available apart from the first material databases, such as Eco Materials Adviser in Autodesk.
Objective: To predict the risk of premature ovulation and possibility of pregnancy in natural IVF/ICSI cycles on the basis of the estradiol (E2) level on the day of hCG injection and on the day after.
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Objectives: to predict the costs and effects on life expectancy of an AAA screening programme.
Objectives: To predict which survivors of traumatic brain injury (TBI) are more likely to be lost to follow-up and to examine the possibility of systematic bias in TBI research.
Objectives To predict the number of selected outcomes temporally associated but not caused by vaccination, to aid causality assessment of adverse events arising after mass immunisation in a paediatric population.
They came up with operational definitions for objectives (to predict the population some time in the future or past), variables (growth rate), and assumptions (simplifying hypotheses, such as a closed population, equal fitness among individuals, asexual reproduction).
Objectives To predict treatment effects for individual patients based on data from randomised trials, taking rosuvastatin treatment in the primary prevention of cardiovascular disease as an example, and to evaluate the net benefit of making treatment decisions for individual patients based on a predicted absolute treatment effect.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com