The Statistics and Data Science concentration equips students to use data science to solve complex problems with data and drive important decision-making processes to add value to an organization.
14 小时on MSN
The government wants more of us living in high rises. Here's why Australians don't want to
Australia was once a nation where the great Australian dream was owning a home with ample space for a lawn and a garden. But ...
Background In 2014, the Philippines implemented Republic Act 10643, or the Graphic Health Warnings (GHW) Law, in alignment ...
Introduction We aimed to establish the clinical characteristics of children and young people (CAYP) currently receiving deep brain stimulation (DBS) therapy for the management of movement disorders in ...
Introduction This project aims to comprehensively examine the incidence of suicidality, individual and population characteristics, and health pathways, for a cohort of Australian veterans using linked ...
In brief, the evidence points to three core results: board independence and female representation are positively associated ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Objective Macrophage activation syndrome (MAS), a subtype of secondary haemophagocytic lymphohistiocytosis (HLH), is a rare ...
Objective Glomerular immune complex deposition plays a central role in lupus nephritis (LN), but the prognostic relevance of individual immunoglobulin components remains unclear. This study aimed to ...
Australia was once a nation where the great Australian dream was owning a home with ample space for a lawn and a garden. But ...
Objectives This study aimed to identify the determinants of severe acute malnutrition (SAM) relapse among children aged 6–59 months. Design Case-control study. Setting Selected public health ...
Limitations of linear regression applied on ecological data -- Things are not always linear : additive modeling -- Dealing with heterogeneity -- Mixed effects modeling for nested data -- Violation of ...
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