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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.


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

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.

Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials

Автор: John O`Quigley, Alexia Iasonos, Bjorn Bornkamp
Название: Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials
ISBN: 0367330687 ISBN-13(EAN): 9780367330682
Издательство: Taylor&Francis
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Цена: 11482.00 р.
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Описание: This handbook provides an overview of up-to-date statistical methods required for design, monitoring and analysis for dose finding clinical trials, focusing both on the clinical aspects as well as statistical considerations. This book will not cover statistical methods for Phase II non-dose finding studies or Phase III clinical trials.

Dose Finding in Drug Development

Автор: Naitee Ting
Название: Dose Finding in Drug Development
ISBN: 144192115X ISBN-13(EAN): 9781441921154
Издательство: Springer
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Цена: 20896.00 р.
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Описание: If you have ever wondered when visiting the pharmacy how the dosage of your prescription is determined this book will answer your questions. It introduces the drug development process and explains the practical concerns in selecting doses for a new drug.

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.

An Introduction to Dose-Finding Methods in Early Phase Clinical Trials

Автор: Takashi Daimon; Akihiro Hirakawa; Shigeyuki Matsui
Название: An Introduction to Dose-Finding Methods in Early Phase Clinical Trials
ISBN: 4431555846 ISBN-13(EAN): 9784431555841
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Included are rule-based and model-based designs, such as 3 + 3 designs, accelerated titration designs, toxicity probability interval designs, continual reassessment method and related designs, and escalation overdose control designs.

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.

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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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.

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.

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.

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


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