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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: 6986.00 р.
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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.

Modern applied regressions

Автор: Xu, Jun
Название: Modern applied regressions
ISBN: 0367173875 ISBN-13(EAN): 9780367173876
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Modern Applied Regressions creates an intricate mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences.

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: 13858.00 р.
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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.

Maximum Entropy and Bayesian Methods Garching, Germany 1998

Автор: Wolfgang von der Linden; Volker Dose; Rainer Fisch
Название: Maximum Entropy and Bayesian Methods Garching, Germany 1998
ISBN: 9401059829 ISBN-13(EAN): 9789401059824
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Proceedings of the 18th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis

Extended Abstracts Fall 2015

Автор: Elizabeth A. Ainsbury; M.Luz Calle; Elisabeth Card
Название: Extended Abstracts Fall 2015
ISBN: 331955638X ISBN-13(EAN): 9783319556383
Издательство: Springer
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Цена: 9781.00 р.
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Описание: PART I.- Foreword.- Extreme Observations in Biomedical Data.- An Ordinal Joint Model for Breast Cancer.- Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction.- ntegrative Analysis of Transcriptomics and Proteomics Data for the Characterization of Brain Tissue After Ischemic Stroke.- Applying INAR-Hidden Markov Chains in the Analysis of Under-Reported Data.- Joint Modelling for Flexible Multivariate Longitudinal and Survival Data: Application in Orthotopic Liver Transplantation.- A Multi-State Model for the Progression to Osteopenia and Osteoporosis among HIV-Infected Patients.- Statistical Challenges for Human Microbiome Analysis.- Integrative Analysis to Select Genes Regulated by Methylation in a Cancer Colon Study.- Topological Pathway Enrichment Analysis ofGene Expression in High Grade Serous Ovarian Cancer Reveals Tumor-Stoma Cross-Talk.- PART II.- Foreword.- Biological Dosimetry, Statistical Challenges: Biological Dosimetry after High-Dose Exposuresto Ionizing Radiation.- Heterogeneous Correlation of Multi-Level Omics Data for the Consideration of Inter-Tumoural Heterogeneity.- Overview of Topics Related to Model Selection for Regression.- Understanding Plaque Overlap is Essential for Modelling Radiation Induced Atherosclerosis.- On the Use of Random Effect Models for Radiation Biodosimetry.- Modelling of the Radiation Carcinogenesis: the Analytic and Stochastic Approaches.- Bayesian Solutions to Biodosimetry Count Data Problems and Supporting Software.- Empirical Assessment of Gene Expression Biomarkers for Radiation Exposure.- Poisson-Weighted Estimation by Discrete Kernel with Application to Radiation Biodosimetry.- R Implementation of the Excess Relative Rate Model: Applications to Radiation Epidemiology.- Uncertainty Considerations Following a Mechanistic Analysis of Lung Cancer Mortality.

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: 12157.00 р.
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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: 17609.00 р.
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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.

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: 22202.00 р.
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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.

Advanced Time Series Data Analysis: Forecasting Using Eviews

Автор: Agung
Название: Advanced Time Series Data Analysis: Forecasting Using Eviews
ISBN: 1119504716 ISBN-13(EAN): 9781119504719
Издательство: Wiley
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Цена: 13614.00 р.
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Описание:

Introduces the latest developments in forecasting in advanced quantitative data analysis

This book presents advanced univariate multiple regressions, which can directly be used to forecast their dependent variables, evaluate their in-sample forecast values, and compute forecast values beyond the sample period. Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variables, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable.

Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annually time series. Each of the models can be applied by all quantitative researchers.

  • Presents models that are all classroom tested
  • Contains real-life data samples
  • Contains over 350 equation specifications of various time series models
  • Contains over 200 illustrative examples with special notes and comments
  • Applicable for time series data of all quantitative studies

Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis. It is suitable for those wishing to obtain a better knowledge and understanding on forecasting, specifically the uncertainty of forecast values.

Maximum Entropy and Bayesian Methods Garching, Germany 1998

Автор: Wolfgang von der Linden; Volker Dose; Rainer Fisch
Название: Maximum Entropy and Bayesian Methods Garching, Germany 1998
ISBN: 0792357663 ISBN-13(EAN): 9780792357667
Издательство: Springer
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Цена: 27245.00 р.
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Описание: Taken from the 1998 MaxEnt conference, this work contains a range of applications of Bayesian probability theory and maximum entropy methods to problems of concern in such fields as physics, image processing, coding theory, machine learning, economics, data analysis and various other problems.

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: 20962.00 р.
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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

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: 11176.00 р.
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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.


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