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Dose-Response Analysis Using R, Ritz, Christian (University of Copenhagen, Denmark) Jensen, Signe Marie (University of Copenhagen, Denmark) Gerhard, Daniel Streibig, Jens Carl


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Автор: Ritz, Christian (University of Copenhagen, Denmark) Jensen, Signe Marie (University of Copenhagen, Denmark) Gerhard, Daniel Streibig, Jens Carl
Название:  Dose-Response Analysis Using R
ISBN: 9781032091815
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1032091819
Обложка/Формат: Paperback
Страницы: 226
Вес: 0.33 кг.
Дата издания: 30.06.2021
Серия: Chapman & hall/crc the r series
Язык: English
Иллюстрации: 47 illustrations, black and white
Размер: 234 x 156 x 17
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: Dose-response analysis is a technique used to determine the safe and hazardous dosage of drugs, pollutants, and other substances to which humans and other organisms are exposed. This book provides a practical and comprehensive overview of methods for dose-response analysis.

Applied survival analysis using r

Автор: Moore, Dirk F.
Название: Applied survival analysis using r
ISBN: 331931243X ISBN-13(EAN): 9783319312439
Издательство: Springer
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Цена: 46570.00 T
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Описание: Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle.

Experimental Design and Model Choice

Автор: Helge Toutenburg
Название: Experimental Design and Model Choice
ISBN: 3642525008 ISBN-13(EAN): 9783642525001
Издательство: Springer
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Цена: 81050.00 T
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Analysis of Quantal Response Data

Автор: Morgan, Byron J.T.
Название: Analysis of Quantal Response Data
ISBN: 0367450240 ISBN-13(EAN): 9780367450243
Издательство: Taylor&Francis
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Цена: 63280.00 T
Наличие на складе: Невозможна поставка.
Описание: This book describes the new developments for the analysis of quantal response data, and emphasizes the links between the various different areas. The main emphasis in the examples which illustrate the methodology will be on the evaluation and testing of substances, mainly drugs, for use in humans.

Risk and Uncertainty Reduction by Using Algebraic Inequalities

Автор: Todinov, Michael T.
Название: Risk and Uncertainty Reduction by Using Algebraic Inequalities
ISBN: 0367898004 ISBN-13(EAN): 9780367898007
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: This book provides the reader with a domain-independent method for reducing risk through maximizing reliability, reducing epistemic uncertainty, reducing aleatory uncertainty, ranking the reliabilities of systems and processes, minimizing the risk of faulty assemblies, and ranking decision-making alternatives in the presence of deep uncertainty.

The Analysis of Biological Data

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 92390.00 T
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis

Автор: Pani Subhendu Kumar, Dash Sujata, Dos Santos Wellington
Название: Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis
ISBN: 303079752X ISBN-13(EAN): 9783030797522
Издательство: Springer
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Цена: 139750.00 T
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Описание: Chapter 1: Artificial Intelligence (AI) and Big Data Analytics for COVID-19 Pandemic

Pramit Pandit, K. N. Krishnamurthy and Bishvajit Bakshi

Chapter 2: COVID-19 TravelCover: Post-lockdown Smart Transportation Management System for COVID-19

Sandeep Tiwari, Hari Mohan Rai, Barnini Goswami, Shreya Majumdar, Kajal Gupta

Chapter 3: Diverse techniques applied for effective diagnosis of COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 4: A Review on Detection of Covid-19 Patients using Deep Learning Techniques

Babita Majhi, Rahul Thangeda, Ritanjali Majhi

Chapter 5: Internet of Health Things (IoHT) for COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 6: Diagnosis for COVID-19

Ashish Tripathi, Anand Bhushan Pandey, Arun Kumar Singh, K. K. Mishra, Prem Chand Vashist

Chapter 7: IoT in Combating Covid 19 Pandemics: Lessons for Developing Countries

Oyekola Peter, Suchismita Swain, Kamalakanta Muduli, Adimuthu Ramasamy

Chapter 8: Machine learning approaches for COVID 19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 9: Smart sensing for COVID 19 Pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 10: eHealth, mHealth and Telemedicine for COVID-19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 11: Prediction of care for patients in a Covid-19 pandemic situation based on haematological parameters

Arianne Sarmento Torcate, Flбvio Secco Fonseca, Antфnio Ravely. T. Lima, Flaviano Palmeira Santos, Tбssia D. Muniz S. Oliveira, Maнra Araъjo de Santana, Juliana Carneiro Gomes, Clarisse Lins de Lima, Valter Augusto de Freitas Barbosa, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos

Chapter 12: Bioinformatics in Diagnosis of Covid-19

Sanjana Sharma, Saanya Aroura, Archana Gupta, Anjali Priyadarshini

Chapter 13: Predicting the Covid-19 Morbidity Outspread and Mortality Using Deep Learning Techniques

Bhimavarapu Usharani

Chapter 14: LSTM -CNN Deep learning Based Hybrid system for real time COVID-19 data analysis and prediction using Twitter data

Sitanath Biswas, Sujata Dash

Chapter 15: An intelligent tool to support diagnosis of Covid-19 by texture analysis of computerized tomography x-ray images and machine learning

Maнra Araъjo de Santana, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Jonathan Bandeira, Mкuser Jorge Silva Valenзa, Ricardo Emmanuel de Souza, Aras Ismael Masood, Wellington Pinheiro dos Santos

Chapter 16: Analysis of Blockchain Backed Covid19 Data

Tadepalli Sarada Kiranmayee, Ruppa K. Thulasiram

Chapter 17: Intelligent systems for dengue, chikungunya and zika temporal and spatio-temporal forecasting: a contribution and a brief review

Clarisse Lins de Lima, Ana Clara Gomes da Silva, Cecilia Cordeiro da Silva, Giselle Machado Magalhгes Moreno, Abel Guilhermino da

Using R for Item Response Theory Model Applications

Автор: Paek, Insu , Cole, Ki
Название: Using R for Item Response Theory Model Applications
ISBN: 1138542784 ISBN-13(EAN): 9781138542785
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: This book introduces basic concepts of IRT and detailed information on how to use R IRT programs for IRT applications.

Time Series: A Data Analysis Approach Using R

Автор: Robert Shumway, David Stoffer
Название: Time Series: A Data Analysis Approach Using R
ISBN: 0367221098 ISBN-13(EAN): 9780367221096
Издательство: Taylor&Francis
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Цена: 74510.00 T
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Описание: This textbook is designed for an introductory time series course where the prerequisites are an understanding of linear regression and some basic probability skills. All of the numerical examples were done using the R statistical package, and the code is typically listed at the end of an example.

Multiple Factor Analysis by Example Using R

Автор: Pages
Название: Multiple Factor Analysis by Example Using R
ISBN: 1482205475 ISBN-13(EAN): 9781482205473
Издательство: Taylor&Francis
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Цена: 86760.00 T
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Описание: Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.

Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

Автор: O`Gorman
Название: Adaptive Tests of Significance Using Permutations of Residuals with R and SAS
ISBN: 0470922257 ISBN-13(EAN): 9780470922255
Издательство: Wiley
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Цена: 134060.00 T
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Описание: Provides the tools needed to successfully perform adaptive tests across a broad range of datasets Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data.

Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry

Автор: Datta Susmita, Mertens Bart J. a.
Название: Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
ISBN: 3319833774 ISBN-13(EAN): 9783319833774
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the new omic sciences. The text discusses common aspects of design and analysis between and across all (or most) forms of mass spectrometry, while also providing special examples of application with the most common forms of mass spectrometry. Also covered are applications of computational mass spectrometry not only in clinical study but also in the interpretation of omics data in plant biology studies. Omics research fields are expected to revolutionize biomolecular research by the ability to simultaneously profile many compounds within either patient blood, urine, tissue, or other biological samples. Mass spectrometry is one of the key analytical techniques used in these new omic sciences. Liquid chromatography mass spectrometry, time-of-flight data, and Fourier transform mass spectrometry are but a selection of the measurement platforms available to the modern analyst. Thus in practical proteomics or metabolomics, researchers will not only be confronted with new high dimensional data types—as opposed to the familiar data structures in more classical genomics—but also with great variation between distinct types of mass spectral measurements derived from different platforms, which may complicate analyses, comparison, and interpretation of results.

Design and analysis in educational research using jamovi

Автор: Strunk, Kamden K. (auburn University, Usa) Mwavita, Mwarumba (oklahoma State University, Usa)
Название: Design and analysis in educational research using jamovi
ISBN: 0367723085 ISBN-13(EAN): 9780367723088
Издательство: Taylor&Francis
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Цена: 47970.00 T
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Описание: Design and Analysis in Educational Research Using jamovi is an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research. Based on their successful SPSS version of the book, the authors focus on using jamovi in this version due to its accessibility as open source software, and ease of use. The book teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA.This textbook is tailor-made for first-level doctoral courses in research design and analysis. It will also be of interest to graduate students in education and educational research. The book includes Support Material with downloadable data sets, and new case study material from the authors for teaching on race, racism, and Black Lives Matter, available at www.routledge.com/9780367723088.


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