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  1. Data Sources in Biostatistics

    The purpose of this lesson is to identify a few of the many data resources used in biostatistics. There has been such a proliferation of information,...
    Chapter 2024
  2. Role of Statistics for Decision-Making in Biostatistics

    The purpose of this lesson is to outline a general process for the use of statistics in support of the decision-making process for biostatistics,...
    Chapter 2024
  3. Causal Inference in Biostatistics

    This chapter considers the problems of causal inference in biostatistics. We briefly overview the concepts of causal effect and causal discovery and...
    Shasha Han, **ao-Hua Zhou in Handbook of Statistical Bioinformatics
    Chapter 2022
  4. Emergence of Data Science as a Critical Discipline in Biostatistics

    The purpose of this lesson is to provide a glimpse of contemporary data science. This lesson will offer a definition of data science, as promulgated...
    Chapter 2024
  5. Basic Biostatistics for Laboratory Animal Science

    Understanding biostatistics is crucial for the estimation of sample size, determination of the power of the study, and assessing the statistical...
    Chapter 2021
  6. Introduction to Data Science in Biostatistics Using R, the Tidyverse Ecosystem, and APIs

    Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term "data science" and discusses...

    Thomas W. MacFarland
    Textbook 2024
  7. Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers

    This book constitutes revised selected papers from the 17th International Meeting on Computational Intelligence Methods for Bioinformatics and...

    Davide Chicco, Angelo Facchiano, ... Paolo Cazzaniga in Lecture Notes in Computer Science
    Conference proceedings 2022
  8. Statistical Analyses and Graphical Presentations in Biostatics Using Base R and the tidyverse Ecosystem

    The purpose of this lesson is to provide a unified summary of how R is used to engage in statistical analyses and produce graphical presentations of...
    Chapter 2024
  9. Integration of Modern Molecular Tools with Geological Processes to Reveal Species Phylogeny, Biogeographical Niche Prediction, and Bio-Evolution

    Nature is integrated, being simultaneously controlled by different natural aspects. Genetics, bioinformatics, biostatistics and geology are four...

    Maneesh S. Bhandari, Marco Antonio Caçador Martins-Ferreira, ... Rajendra K. Meena in Proceedings of the National Academy of Sciences, India Section B: Biological Sciences
    Article 31 July 2022
  10. Statistical Analysis of Proteomic Data Methods and Tools

    This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that...
    Thomas Burger in Methods in Molecular Biology
    Book 2023
  11. Data analytics and clinical feature ranking of medical records of patients with sepsis

    Background

    Sepsis is a life-threatening clinical condition that happens when the patient’s body has an excessive reaction to an infection, and should...

    Davide Chicco, Luca Oneto in BioData Mining
    Article Open access 03 February 2021
  12. Unveiling the Links Between Peptide Identification and Differential Analysis FDR Controls by Means of a Practical Introduction to Knockoff Filters

    In proteomic differential analysis, FDR control is often performed through a multiple test correction (i.e., the adjustment of the original...
    Lucas Etourneau, Nelle Varoquaux, Thomas Burger in Statistical Analysis of Proteomic Data
    Protocol 2023
  13. StatiCAL: an interactive tool for statistical analysis of biomedical data and scientific valorization

    Background

    In the realm of biomedical research, the growing volume, diversity and quantity of data has escalated the demand for statistical analysis...

    Tanguy Pace-Loscos, Jocelyn Gal, ... Dorian Culié in BMC Bioinformatics
    Article Open access 12 June 2024
  14. Biostatistics, Data Mining and Computational Modeling

    In this chapter, biostatistics data mining methods applied in Asthma will be introduced into four frameworks: descriptive and explorative statistics,...
    Chapter 2018
  15. Intelligence-Based Medicine: The Academic Perspective and Deep Humanism

    Artificial Intelligence (AI) and other statistical methods are providing new opportunities of data modelling for patient benefit. The number of...
    Luca Tagliaferri, Loredana Dinapoli, ... Vincenzo Valentini in Personalized Medicine Meets Artificial Intelligence
    Chapter 2023
  16. Use of R-Based APIs (Application Programming Interface) to Obtain Data

    The purpose of this lesson is to demonstrate how R-Based APIs (Application Programming Interface) functions are used to obtain data so that...
    Chapter 2024
  17. Chemical Signals in Vertebrates 15

    The 15th Meeting on Chemical Signals in Vertebrates (CSiV) reunited participants from 20 countries from 5 continents who "electronically commuted" to...

    Benoist Schaal, Diane Rekow, ... Fabrice Damon
    Conference proceedings 2023
  18. Multivariate Longitudinal Microbiome Models

    Chapter 15 mainly introduced the glmmTMB, GLMMadaptive, and FZINBMM packages. However, all these three packages...
    Chapter 2023
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