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Bring the latest statistical tools to bear on predicting future variables and outcomes A huge range of fields rely on forecasts of how certain variables and causal factors will affect future outcomes, from product sales to inflation rates to demographic changes. Time series analysis is the branch of applied statistics which generates forecasts, and its sophisticated use of time oriented data can vastly impact the quality of crucial predictions. The latest computing and statistical methodologies are constantly being sought to refine these predictions and increase the confidence with which important actors can rely on future outcomes. Time Series Analysis and Forecasting presents a comprehensive overview of the methodologies required to produce these forecasts with the aid of time-oriented data sets. The potential applications for these techniques are nearly limitless, and this foundational volume has now been updated to reflect the most advanced tools. The result, more than ever, is an essential introduction to a core area of statistical analysis. Readers of the third edition of Time Series Analysis and Forecasting will also find: Updates incorporating JMP, SAS, and R software, with new examples throughout Over 300 exercises and 50 programming algorithms that balance theory and practice Supplementary materials in the e-book including solutions to many problems, data sets, and brand-new explanatory videos covering the key concepts and examples from each chapter.Time Series Analysis and Forecasting is ideal for graduate and advanced undergraduate courses in the areas of data science and analytics and forecasting and time series analysis. It is also an outstanding reference for practicing data scientists.
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Comprehensive resource presenting methods essential in planning, designing, conducting, analyzing, and interpreting clinical trials The Fourth Edition of Clinical Trials builds on the text’s reputation as a straightforward, detailed, and authoritative presentation of quantitative methods for clinical trials, discussing principles of design for various types of clinical trials and elements of planning the experiment, assembling a study cohort, assessing data, and reporting results. Each chapter contains an introduction and summary to reinforce key points. Discussion questions stimulate critical thinking and help readers understand how they can apply their newfound knowledge. Written by a highly qualified author with significant experience in the field, the Fourth Edition of Clinical Trials approaches the topic with: Problems that may arise during a trial, and accompanying common sense solutionsDesign alternatives for addressing many questions in therapeutic developmentStatistical principles with new and provocative topics, such as generalizing results, operating characteristics, trial issues during the COVID-19 pandemic, and moreAlternative medicine, ethics, middle development, comparative studies, adaptive designs, and clinical trials using point of care dataRevamped exercise sets, updated and extensive references, new material on endpoints and the developmental pipeline, and revisions of numerous sections, tables, and figuresStanding out due to its accessible and broad coverage of statistical design methods which are the building blocks of clinical trials and medical research, Clinical Trials is an essential learning aid on the subject for undergraduate and graduate clinical trials courses.