Alan T. Arnholt - Google Scholar CitationsUniversidad de Zaragoza, Zaragoza, Spain. Laboratory data interpretation for the assessment of complex biological systems remains a great challenge, as occurs in mitochondrial function research studies. The classical biochemical data interpretation of patients versus reference values may be insufficient, and in fact the current classifications of mitochondrial patients are still done on basis of probability criteria. We demonstrated that coenzyme Q 10 may be a better biomarker of mitochondrial respiratory chain enzyme activities than the citrate synthase activity. Furthermore, the application of this algorithm may be useful to re-classify mitochondrial patients or to explore associations among other biochemical variables from different biological systems. Mitochondrial disease diagnosis is a complex process that relies on clinical, biochemical, neuroimaging, histological, and molecular data. Skeletal muscle is considered the most suitable tissue for the diagnosis of these disorders because of its availability and high metabolic rate.
Probability and Statistics with R
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Skip to search form Skip to main content. Militino and Alan T. Militino , Alan T. Arnholt Published DOI: It provides numerous real-world examples, carefully explained proofs, end-of-chapter problems, and illuminating graphs to facilitate hands-on learning.
Provides real-world examples of how R can be used to solve problems in probability and statistics, along with an overview on how to use R. Covers both traditional methods and nonparametric techniques, including goodness-of-fit tests, categorical data analysis, nonparametric bootstrapping, and permutation tests. She is a full professor in the Department of Statistics and Operations Research at the Public University of Navarre and has taught numerous statistics courses at the undergraduate, masters, and doctoral level. Ana F. She teaches statistics in undergraduate and graduate programs.