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  • Dual Pathology

    Recommendations for Improving the Quality of Care

    The co-occurrence of substance use disorders (addiction) and mental health disorders constitutes a serious challenge in psychiatric practice, not only because of its frequency, but also because of the difficulties it poses for its diagnosis and treatment. Recently, this issue has taken on special importance and debate in the field of mental health because it has gone from being an eventuality to ... Read more

    $49.99 USD

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  • New Frontiers in Statistics and Data Science

    SPE2023, Guimarães, Portugal, October 11-14

    Series series Springer Nature Proceedings excluding Computer Science
    This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both theoretical and applied statistics. Each contribution highlights the latest advancements and research in the field, offering valuable insights and innovative methodologies for researchers and ... Read more

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  • Statistics by Simulation

    A Synthetic Data Approach

    An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biased sampling designs, and more predictors than data points are pushing the limits of classical statistical analysis. This textbook provides a new tool for the statistical toolkit: data simulations. ... Read more

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  • Nonparametric Statistical Methods

    Series Book 751 - Wiley Series in Probability and Statistics
    Praise for the Second Edition“This book should be an essential part of the personal library of every practicing statistician.”*—*TechnometricsThoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of ... Read more

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  • Statistical Learning for Biomedical Data

    Series series Practical Guides to Biostatistics and Epidemiology
    This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines ... Read more

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  • Introduction to WinBUGS for Ecologists

    Bayesian Approach to Regression, ANOVA, Mixed Models and Related Analyses

    by Marc Kéry ...
    Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. ... Read more

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  • The Oxford Handbook of Applied Bayesian Analysis

    Edited by Anthony O' Hagan, Mike West ...
    Series series Oxford Handbooks
    Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, ... Read more

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  • Common Errors in Statistics (and How to Avoid Them)

    Praise for Common Errors in Statistics (and How to Avoid Them)"A very engaging and valuable book for all who use statistics in any setting."-CHOICE"Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the ... Read more

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  • Data Analysis Using Hierarchical Generalized Linear Models with R

    Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a ... Read more

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  • Medical Statistics And Computer Experiments (2nd Edition)

    by Ji-qian Fang ...
    This volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research. The book is written using basic concepts and commonly used methods of design and analysis in medical statistics, incorporating the operation of statistical ... Read more

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  • Survival Analysis with Interval-Censored Data

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    Series series Chapman & Hall/CRC Interdisciplinary Statistics
    Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with ... Read more

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