Listing 1 - 10 of 110 | << page >> |
Sort by
|
Choose an application
Biometry --- Biometry. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Statistical methods --- Biomathematics --- Statistics --- Biometria --- Biometria. --- Anthropology, Physical --- Statistics as Topic --- Biology - General
Choose an application
This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.
Choose an application
Published on behalf of the International Biometric Society, 'Biometrics' emphasizes the role of statistics and mathematics in the biosciences.
Biometry --- Biometry. --- Biostatistics. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Statistical methods --- Biomathematics --- Statistics --- Anthropology, Physical --- Statistics as Topic --- 42.11 biomathematics. --- Biométrie --- Biometrie. --- Biometria --- Popular Science and Nature.
Choose an application
This book serves as a brief introduction to phylogenetic trees and molecular evolution for biologists and biology students. It does so by presenting the main concepts in a variety of ways: first visually, then in a history, next in a dice game, and finally in simple equations. The content is primarily designed to introduce upper-level undergraduate and graduate students of biology to phylogenetic tree reconstruction and the underlying models of molecular evolution. A unique feature also of interest to experienced researchers is the emphasis on simple ways to quantify the uncertainty in the results more fully than is possible with standard methods.
Biomathematics. Biometry. Biostatistics --- Genetics --- Molecular biology --- Biotechnology --- bio-informatica --- biotechnologie --- genexpressie --- Biometry. --- Molecular evolution. --- Phylogeny --- Molecular aspects. --- Filogènia --- Processament de dades --- Evolució molecular --- Biometria
Choose an application
This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.
Biometry. --- Biometria --- Bioestadística --- Biologia --- Estadística --- Herència (Biologia) --- Anàlisi de supervivència (Biometria) --- Censos --- Genètica quantitativa --- Biomatemàtica --- Estadística matemàtica --- Mostreig (Estadística) --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Statistical methods --- Statistics. --- Biology. --- Statistics in Life Sciences, Medicine, Health Sciences. --- Bayesian Inference. --- Biological Sciences. --- Life sciences --- Life (Biology) --- Natural history --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics
Choose an application
This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups. The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.
Epidemiology. --- Biomathematics. --- Genetics and Population Dynamics. --- Biology --- Mathematics --- Diseases --- Public health --- Epidemiologia --- Biomatemàtica --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Salut pública --- Comorbiditat --- Epidèmies --- Epidemiologia molecular --- Farmacoepidemiologia --- Morbiditat --- Malalties
Choose an application
Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs. The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader's immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, the book can also be used by anyone who wants to perform a statistical data analysis. .
Statistical science --- Biomathematics. Biometry. Biostatistics --- Computer. Automation --- biomathematica --- biostatistiek --- informatica --- statistiek --- biometrie --- statistisch onderzoek --- Biometry. --- Computer science --- Programming languages (Electronic computers) --- Python (Llenguatge de programació) --- Estadística matemàtica --- Processament de dades --- Biometria --- Mathematics.
Choose an application
This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.
Biomathematics. Biometry. Biostatistics --- Biological techniques --- Oncology. Neoplasms --- bio-informatica --- biologie --- oncologie --- Synthetic Biology. --- Cancer. --- Bioinformatics. --- Cancer --- Cancer Biology. --- Computational and Systems Biology. --- Cancer Therapy. --- Treatment. --- Càncer --- Biometria --- Proliferació cel·lular --- Terapèutica
Choose an application
This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.
Estadística mèdica --- Biometria --- Dades massives --- Macrodades --- Bases de dades --- Bioestadística --- Biologia --- Estadística --- Herència (Biologia) --- Anàlisi de supervivència (Biometria) --- Censos --- Genètica quantitativa --- Biomatemàtica --- Estadística matemàtica --- Mostreig (Estadística) --- Estadística sanitària --- Indicadors de salut --- Mortalitat --- Medical statistics. --- Big data. --- Data sets, Large --- Large data sets --- Data sets --- Health --- Health statistics --- Medicine --- Statistics --- Statistical methods --- Biometry. --- Biology --- Biostatistics. --- Biomedical Research. --- Research. --- Biological research --- Biomedical research --- Health Workforce --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics
Choose an application
Depuis quelques années, tant au niveau national que transnational, la biométrie s’impose comme une technologie privilégiée d’identification des personnes. En effet, elle fait l’objet d’un essor considérable dans la sphère domestique, dans les établissements scolaires, dans les entreprises, dans le champ de la sécurité, etc.Ce phénomène soulève une profusion de nouveaux enjeux. De quelle manière appréhender la biométrie au regard de l’histoire longue des procédures visant à déterminer et fixer la singularité de chacun ? Comment les dispositifs biométriques fonctionnent-ils ? Quelles populations prennent-ils prioritairement pour cible ? Comment la biométrie affecte-t-elle la notion d’identité individuelle et le statut conféré au corps humain ? Constitue-t-elle une menace pour la vie privée et les droits fondamentaux ? À quels enjeux économiques renvoie-t-elle ? Dans quelle mesure son utilisation transforme-t-elle les logiques à l’œuvre dans l’univers policier ? Pourquoi certains l’acceptent-ils sans rechigner tandis que d’autres s’y opposent avec virulence en pointant les graves dangers dont elle serait porteuse ?Ce sont quelques-unes des questions passionnantes auxquelles s’intéressent les nombreuses contributions ici rassemblées. Croisant les regards de chercheurs issus de pays et de disciplines différentes (histoire, droit, science politique, anthropologie, philosophie, etc.) et ceux d’acteurs en prise directe avec certains aspects de la biométrie du fait des fonctions qu’ils exercent, cet ouvrage collectif s’impose comme incontournable pour tous ceux qui sont désireux de mieux comprendre la complexité d’un sujet au cœur de l’actualité n’ayant pourtant jusqu’alors été que très peu étudié.
Biometric identification --- Identification biométrique --- Congresses. --- Congrès --- BPB1109 --- Biométrie --- Biometrie --- Identification biométrique --- Congrès --- biometrie --- biometria --- biometrics --- biometrija --- βιομετρία --- Biometrik --- bithmhéadracht --- biometría --- biometrika --- biometri --- bijometrika --- биометрия --- biometrikë --- биометрија --- biomeetria --- digitaalinen sormenjälki --- biometry --- fingeravtryck --- sõrmejälg --- otisky prstů --- bijometrija --- painamalla otettu sormenjälki --- fingerprint --- digitaler Fingerabdruck --- pirštų atspaudai --- amprentă digitală --- gjurmë të gishtërinjve --- отисак прста --- sormenjälki --- biometrikus ujjlenyomat --- digitális ujjlenyomat --- gelaatsscan --- fingeraftryk --- otisak prsta --- empreinte digitale --- digitale vingerafdruk --- pirkstu nospiedumi ciparu formātā --- huella digital --- дигитален отпечаток од прст --- impronta digitale --- пръстов отпечатък --- odtlačok prsta --- impressão digital --- ψηφιακό δακτυλικό αποτύπωμα --- odciski palców --- prstni odtis --- Biometric identification - Congresses --- Biométrie
Listing 1 - 10 of 110 | << page >> |
Sort by
|