Advanced Statistical Methods In Life Science

DOWNLOAD
Download Advanced Statistical Methods In Life Science PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advanced Statistical Methods In Life Science book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Advanced Statistical Methods In Life Science
DOWNLOAD
Author : Basavarajaiah D.M
language : en
Publisher: CRC Press
Release Date : 2025-07-25
Advanced Statistical Methods In Life Science written by Basavarajaiah D.M and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Mathematics categories.
This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research. Key features: Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicability Incorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy intervention Helps to understand the process of hypothesis testing in small or larger observations by using weighted parameters Presents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key points Includes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual data This textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic.
Advanced Statistical Methods In Data Science
DOWNLOAD
Author : Ding-Geng Chen
language : en
Publisher: Springer
Release Date : 2016-11-30
Advanced Statistical Methods In Data Science written by Ding-Geng Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Mathematics categories.
This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.
Statistical Methods In Agriculture And Experimental Biology Third Edition
DOWNLOAD
Author : Roger Mead
language : en
Publisher: CRC Press
Release Date : 2002-08-28
Statistical Methods In Agriculture And Experimental Biology Third Edition written by Roger Mead and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-08-28 with Mathematics categories.
The third edition of this popular introductory text maintains the character that won worldwide respect for its predecessors but features a number of enhancements that broaden its scope, increase its utility, and bring the treatment thoroughly up to date. It provides complete coverage of the statistical ideas and methods essential to students in agriculture or experimental biology. In addition to covering fundamental methodology, this treatment also includes more advanced topics that the authors believe help develop an appreciation of the breadth of statistical methodology now available. The emphasis is not on mathematical detail, but on ensuring students understand why and when various methods should be used. New in the Third Edition: A chapter on the two simplest yet most important methods of multivariate analysis Increased emphasis on modern computer applications Discussions on a wider range of data types and the graphical display of data Analysis of mixed cropping experiments and on-farm experiments
Advanced Medical Statistics 2nd Edition
DOWNLOAD
Author : Ying Lu
language : en
Publisher: World Scientific
Release Date : 2015-06-29
Advanced Medical Statistics 2nd Edition written by Ying Lu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-29 with Medical categories.
The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.
Design Of Experiments And Advanced Statistical Techniques In Clinical Research
DOWNLOAD
Author : Basavarajaiah D. M.
language : en
Publisher: Springer Nature
Release Date : 2020-11-05
Design Of Experiments And Advanced Statistical Techniques In Clinical Research written by Basavarajaiah D. M. and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Medical categories.
Recent Statistical techniques are one of the basal evidence for clinical research, a pivotal in handling new clinical research and in evaluating and applying prior research. This book explores various choices of statistical tools and mechanisms, analyses of the associations among different clinical attributes. It uses advanced statistical methods to describe real clinical data sets, when the clinical processes being examined are still in the process. This book also discusses distinct methods for building predictive and probability distribution models in clinical situations and ways to assess the stability of these models and other quantitative conclusions drawn by realistic experimental data sets. Design of experiments and recent posthoc tests have been used in comparing treatment effects and precision of the experimentation. This book also facilitates clinicians towards understanding statistics and enabling them to follow and evaluate the real empirical studies (formulation of randomized control trial) that pledge insight evidence base for clinical practices. This book will be a useful resource for clinicians, postgraduates scholars in medicines, clinical research beginners and academicians to nurture high-level statistical tools with extensive scope.
Statistical Methods For Climate Scientists
DOWNLOAD
Author : Timothy DelSole
language : en
Publisher: Cambridge University Press
Release Date : 2022-02-24
Statistical Methods For Climate Scientists written by Timothy DelSole and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Mathematics categories.
An accessible introduction to statistical methods for students in the climate sciences.
The Scientific Use Of Factor Analysis In Behavioral And Life Sciences
DOWNLOAD
Author : Raymond Cattell
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
The Scientific Use Of Factor Analysis In Behavioral And Life Sciences written by Raymond Cattell and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Social Science categories.
"By the author of the bestseller Hello, He Lied, a veteran producer takes a witty look at the new Hollywood. Lynda Obst returns to dish on the experts, tastemakers, and moguls of today's Hollywood and the movies they make. She describes how the movie business has lost its MO--and is now losing its talent to network and especially cable TV. With the collapse of the DVD market, the movie industry was crippled. The business reacted by producing tentpoles (mega-hits) or tadpoles (which nobody gets a chance to see). Why? Since the majority of their revenue comes from the foreign market, especially China and Russia, studios are no longer dependent on expensive stars or dialogue (i.e. writers). Special effects and 3D replace people. Obst speaks from the front lines. Her subjects are friends, moguls, former employers, mentors, and even relatives, who express their opinions with disarming bluntness and hilarity. Obst combines her experiences with insights from the smartest people in the business. In what Obst calls the New Abnormal (because Hollywood wasn't normal to begin with), studios are paralyzed. Can the movie business be resurrected? Can it once again make the movies that make us laugh, cry, and wish we could own the DVD? Obst is ready"--
Applied Statistics In Agricultural Biological And Environmental Sciences
DOWNLOAD
Author : Barry Glaz
language : en
Publisher: John Wiley & Sons
Release Date : 2020-01-22
Applied Statistics In Agricultural Biological And Environmental Sciences written by Barry Glaz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-22 with Technology & Engineering categories.
Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.
Statistical Power Analysis For The Social And Behavioral Sciences
DOWNLOAD
Author : Xiaofeng Steven Liu
language : en
Publisher:
Release Date : 2014
Statistical Power Analysis For The Social And Behavioral Sciences written by Xiaofeng Steven Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with BUSINESS & ECONOMICS categories.
"This will be the first book to demonstrate the application of power analysis to the newer more advanced techniques such as hierarchical linear modeling, meta-analysis, and structural equation modelling that are increasingly popular in behavioral and social science research."--Provided by publisher.
Statistical Methods In Biology
DOWNLOAD
Author : S.J. Welham
language : en
Publisher: CRC Press
Release Date : 2014-08-22
Statistical Methods In Biology written by S.J. Welham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-22 with Mathematics categories.
Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.