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Metabolomic analysis has been explored to search for disease biomarkers in humans for some time. The application to animal species, including fish, however, is still at the beginning.
Lada Ivanova+5 more
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Gerontologic Biostatistics 2.0: Developments over 10+ years in the age of data science [PDF]
Background: Introduced in 2010, the sub-discipline of gerontologic biostatistics (GBS) was conceptualized to address the specific challenges in analyzing data from research studies involving older adults. However, the evolving technological landscape has catalyzed data science and statistical advancements since the original GBS publication, greatly ...
arxiv
Cancer causes immense suffering globally, and data constitute the cornerstone of cancer research. Analyzing data is pivotal, but manual analysis of vast datasets within constrained time frames is challenging and error-prone.
Madhura A Gandhi+3 more
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Bayesian Clinical Trial Design Workshop [PDF]
The Image Guided Cancer Therapy Research Program together with the CCSG Image-Driven Biology-Informed Therapy Program Workshop Series presents “Bayesian Clinical Trial Design Workshop” Session I: Clinical Trial Overview & Bayesian Basics J. Jack Lee, PhD,
Fuller, C. Dave, MD, PhD+3 more
core +1 more source
Common mistakes in biostatistics
ABSTRACTBiostatistics plays a pivotal role in developing, interpreting and drawing conclusions from clinical, biological and epidemiological data. However, the improper application of statistical methods can lead to erroneous conclusions and misinterpretations. This paper provides a comprehensive examination of the most frequent mistakes encountered in
D'Arrigo, Graziella+7 more
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Efficient Derivative Codes through Automatic Differentiation and Interface Contraction: An Application in Biostatistics [PDF]
Paul Hovland+3 more
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Biostatistics of Space Exploration - Microbiology and Sterilization [PDF]
Contamination probability distribution models for spacecraft - microbiological assays and sterilization of spacecraft ...
Cornell, R. G.
core +1 more source
Basic Biostatistics in Medicine and Epidemiology. [PDF]
Alfred A. Rimm, Arthur J. Hartz
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A primer for biostatistics in R
A primer for biostatistics in R is a set of learning materials developed to support you in better developing critical thinking using statistics. Critical thinking very generally is a mode of thinking that is self-directed and evidence based. Statistical thinking is thus an ideal opportunity and partner in honing literacy adventure skills in this domain.
openaire +2 more sources