Results 41 to 50 of about 518,148 (296)
On the uses and abuses of regression models: a call for reform of statistical practice and teaching [PDF]
Regression methods dominate the practice of biostatistical analysis, but biostatistical training emphasises the details of regression models and methods ahead of the purposes for which such modelling might be useful. More broadly, statistics is widely understood to provide a body of techniques for "modelling data", underpinned by what we describe as ...
arxiv
Background: Biostatistics is an integral part of research protocols. In any field of inquiry or investigation, data obtained is subsequently classified, analyzed and tested for accuracy by statistical methods. Statistical analysis of collected data, thus,
Jonnalagadda Laxmi Swetha+3 more
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Biostatistics is a critical skill to physicians in an evidence-based medicine era, but teaching basic statistical concepts is challenging. Students often experience anxiety caused by the complexity of statistics and might express negative attitudes ...
Henrique Alvarenga da Silva+1 more
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Signal Identification for Rare and Weak Features: Higher Criticism or False Discovery Rates? [PDF]
Signal identification in large-dimensional settings is a challenging problem in biostatistics. Recently, the method of higher criticism (HC) was shown to be an effective means for determining appropriate decision thresholds. Here, we study HC from a false discovery rate (FDR) perspective.
arxiv +1 more source
Workshop report: building biostatistics capacity in Sub-saharan Africa-taking action
To address the need for capacity development in biostatistics in the Sub-Saharan African region and to move recommendations from previous workshops into action, we brought together biostatisticians from the region to provide an opportunity to brainstorm ...
Rhoderick Machekano+4 more
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Ongoing professional development is important for collaborative biostatisticians, as it enables them to remain current with the latest advances in statistical methodology and software, refine their analytical skills, and expand their domain knowledge ...
Sandra L. Taylor+3 more
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Gene profiling for determining pluripotent genes in a time course microarray experiment [PDF]
In microarray experiments, it is often of interest to identify genes which have a pre-specified gene expression profile with respect to time. Methods available in the literature are, however, typically not stringent enough in identifying such genes, particularly when the profile requires equivalence of gene expression levels at certain time points.
arxiv +1 more source
Biostatistics: The Bare Essentials
Section 1: THE NATURE OF DATA AND STATISTICS 1. The Basics 2. Looking at the Data: A First Look at Graphing Data 3. Describing the Data with Numbers: Measures of Central Tendency and Dispersion 4. The Normal Distribution 5. Probability 6.
Naomi Vaisrub
semanticscholar +1 more source
Improving Software Engineering in Biostatistics: Challenges and Opportunities [PDF]
Programming is ubiquitous in applied biostatistics; adopting software engineering skills will help biostatisticians do a better job. To explain this, we start by highlighting key challenges for software development and application in biostatistics.
arxiv
Common pitfalls in statistical analysis: Measures of agreement
Agreement between measurements refers to the degree of concordance between two (or more) sets of measurements. Statistical methods to test agreement are used to assess inter-rater variability or to decide whether one technique for measuring a variable ...
Priya Ranganathan+2 more
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