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SAS Clinical Programming

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An indispensable guide to SAS Clinical Programming, this book is the first guide on this topic, to be written by an Indian author. Written in an instructive and conversational tone for people who want to make their career in SAS Clinical Programming and entry level programmers for their day-to-day tasks. It is equipped with practical, real world examples, detailed description of programs, work ... Leer más

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An indispensable guide to SAS Clinical Programming, this book is the first guide on this topic, to be written by an Indian author. Written in an instructive and conversational tone for people who want to make their career in SAS Clinical Programming and entry level programmers for their day-to-day tasks. It is equipped with practical, real world examples, detailed description of programs, work
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Introduction to Nonparametric Statistics for the Biological Sciences Using R

de Thomas W. MacFarland, Jan M. Yates ...

Series series Mathematics and Statistics (R0)
This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:To introduce when nonparametric approaches to data analysis are appropriateTo introduce the leading nonparametric tests commonly used in biostatistics and how R is ... Leer más

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Good Clinical Practice eRegs & Guides For Your Reference Book 3

de FDA, Biopharma Advantage Consulting L.L.C., eRegs And Guides a Biopharma Advantage Consulting L.L.C. ...

Series Libro 3 - Good Clinical Practice eRegs & Guides For Your Reference
In this ebook you will find the following guidance documents: ICH Q8 Pharmaceutical Development ICH Q9 Quality Risk Management ICH Q10 Pharmaceutical Quality System ... Leer más

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Handbook Of Medical Statistics

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This unique volume focuses on the 'tools' of medical statistics. It contains over 500 concepts or methods, all of which are explained very clearly and in detail.Each chapter focuses on a specific field and its applications. There are about 20 items in each chapter with each item independent of one another and explained within one page (plus references). The structure of the book makes it extremely ... Leer más

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This unique volume focuses on the 'tools' of medical statistics. It contains over 500 concepts or methods, all of which are explained very clearly and in detail.Each chapter focuses on a specific field and its applications. There are about 20 items in each chapter with each item independent of one another and explained within one page (plus references). The structure of the book makes it extremely
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Manual for the Planning and Implementation of Therapeutic Studies

de S. Biefang, W. Köpcke, M.A. Schreiber ...

Series Libro 20 - Lecture Notes in Medical Informatics
The German edition of this manual appeared in 1979. Its main objective then was to extend help to those engaged in multiaentric therapeutic studies, especially with respect to the "Federal Government's Program on Promoting Research and Development in the Service of Health". Experience with therapeutic studies in the Federal Republic of Germany showed that considerable problems as to methods and ... Leer más

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The German edition of this manual appeared in 1979. Its main objective then was to extend help to those engaged in multiaentric therapeutic studies, especially with respect to the "Federal Government's Program on Promoting Research and Development in the Service of Health". Experience with therapeutic studies in the Federal Republic of Germany showed that considerable problems as to methods and
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Intelligent Data Analysis in Medicine and Pharmacology

Edición de Nada Lavrač, Elpida Keravnou-Papailiou, Blaz Zupan ...

Series Libro 414 - The Springer International Series in Engineering and Computer Science
Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emergence of new journals in this area (e.g., Data Mining and Knowledge Discovery, Intelligent Data Analysis, ... Leer más

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Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emergence of new journals in this area (e.g., Data Mining and Knowledge Discovery, Intelligent Data Analysis,
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Meta-Analysis with R

de Guido Schwarzer, Gerta Rücker, James R. Carpenter ...

Series series Mathematics and Statistics (R0)
This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: ... Leer más

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This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics:
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Primer to Analysis of Genomic Data Using R

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Series series Mathematics and Statistics (R0)
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Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate
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Bayesian Analysis of Spatially Structured Population Dynamics

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Series series Biomedical and Life Sciences (R0)
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The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of
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Series series Mathematics and Statistics (R0)
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Heart Rate Variability Analysis with the R package RHRV

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Series series Mathematics and Statistics (R0)
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This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refers to the variation over time of the intervals between consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of the autonomic nervous system activity and it
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Series series Mathematics and Statistics (R0)
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Series series Mathematics and Statistics (R0)
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Statistical Inference on Residual Life

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Series series Mathematics and Statistics (R0)
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This is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data. The mean residual life has been used for many years under the name of life expectancy, so it is a natural concept for summarizing survival or reliability data. It is also more interpretable than the popular hazard function, especially for communications between
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Series series Mathematics and Statistics (R0)
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The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk;
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Series series Springer Protocols
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This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables,
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Data Science, Learning by Latent Structures, and Knowledge Discovery

Edición de Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer ...

Series series Springer Nature Proceedings excluding Computer Science
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This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The
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Advances and Challenges in Space-time Modelling of Natural Events

Edición de Emilio Porcu, José–María Montero, Martin Schlather ...

Series series Springer Nature Proceedings excluding Computer Science
This book arises as the natural continuation of the International Spring School "Advances and Challenges in Space-Time modelling of Natural Events," which took place in Toledo (Spain) in March 2010. This Spring School above all focused on young researchers (Master students, PhD students and post-doctoral researchers) in academics, extra-university research and the industry who are interested in ... Leer más

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Modeling Binary Correlated Responses using SAS, SPSS and R

de Jeffrey R. Wilson, Kent A. Lorenz ...

Series series Mathematics and Statistics (R0)
Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. ... Leer más

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Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research.
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Modeling Demographic Processes in Marked Populations

Edición de David L. Thomson, Evan G. Cooch, Michael J. Conroy ...

Series series Mathematics and Statistics (R0)
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Development of Questionnaires for Quantitative Medical Research

de Mohamad Adam Bujang, Shirin Hui Tan ...

In research, a questionnaire is an important instrument for collecting data. The quality of the questionnaire has an impact on data collecting success and, ultimately, on the study's objectives (s). The overall approach to developing four types of questionnaires for quantitative research is discussed in this book: (a) questionnaires for capturing facts or information, (b) questionnaires for ... Leer más

Gratis

In research, a questionnaire is an important instrument for collecting data. The quality of the questionnaire has an impact on data collecting success and, ultimately, on the study's objectives (s). The overall approach to developing four types of questionnaires for quantitative research is discussed in this book: (a) questionnaires for capturing facts or information, (b) questionnaires for
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Statistical Learning for Biomedical Data

de James D. Malley, Karen G. Malley, Sinisa Pajevic ...

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 ... Leer más

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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
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Recomendado para ti

eBooks de Bioestadística

SAS Clinical Programming

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Good Clinical Practice eRegs & Guides For Your Reference Book 3

Handbook Of Medical Statistics

Manual for the Planning and Implementation of Therapeutic Studies

Intelligent Data Analysis in Medicine and Pharmacology

Meta-Analysis with R

Primer to Analysis of Genomic Data Using R

Bayesian Analysis of Spatially Structured Population Dynamics

Geostatistics for Compositional Data with R

Heart Rate Variability Analysis with the R package RHRV

Shrinkage Estimation for Mean and Covariance Matrices

Linear and Generalized Linear Mixed Models and Their Applications

Change Point Analysis for Time Series

Epidemiologic Studies in Cancer Prevention and Screening

Statistical Inference on Residual Life

Advances in Complex Data Modeling and Computational Methods in Statistics

Statistical Analysis of Proteomic Data

Data Science, Learning by Latent Structures, and Knowledge Discovery

Advances and Challenges in Space-time Modelling of Natural Events

Modeling Binary Correlated Responses using SAS, SPSS and R

Modeling Demographic Processes in Marked Populations

Development of Questionnaires for Quantitative Medical Research

Statistical Learning for Biomedical Data