Cantitate/Preț
Produs
Total produse
Vezi coșul
Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large de Thomas W. MacFarland

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large: SpringerBriefs in Statistics

Autor Thomas W. MacFarland
en Limba Engleză Paperback – 29 noi 2013
Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R.
Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples, t-Test for matched pairs, ANOVA, correlation and linear regression, and advice for future work.
Citește tot Restrânge

Din seria SpringerBriefs in Statistics

  • Asymmetric Kernel Smoothing: Theory and Applications in Economics and Finance
    Preț: 37073 lei
  • 15% Statistics, New Empiricism and Society in the Era of Big Data
    Preț: 45064 lei
  • 17% A Tiny Handbook of R
    Preț: 35975 lei
  • Separating Information Maximum Likelihood Method for High-Frequency Financial Data
    Preț: 40326 lei
  • Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics
    Preț: 43691 lei
  • Shrinkage Estimation for Mean and Covariance Matrices
    Preț: 43637 lei
  • Renewal Processes
    Preț: 37110 lei
  • Long-Range Dependence and Sea Level Forecasting
    Preț: 36771 lei
  • Time Series Modeling for Analysis and Control: Advanced Autopilot and Monitoring Systems
    Preț: 37110 lei
  • Algebraic and Computational Aspects of Real Tensor Ranks
    Preț: 35050 lei
  • A Concise Guide to Statistics
    Preț: 37094 lei
  • Lévy Processes and Their Applications in Reliability and Storage
    Preț: 37110 lei
  • 15% Sample Size Determination in Clinical Trials with Multiple Endpoints
    Preț: 45241 lei
  • Movie Analytics: A Hollywood Introduction to Big Data
    Preț: 35228 lei
  • Generalized Weibull Distributions
    Preț: 37094 lei
  • Indexation and Causation of Financial Markets
    Preț: 37015 lei
  • 5% Machine Learning in Medicine - Cookbook Three
    Preț: 35345 lei
  • Modern Methodology and Applications in Spatial-Temporal Modeling
    Preț: 35142 lei
  • Statistical Decision Theory
    Preț: 37132 lei
  • Statistical Methods for Imbalanced Data in Ecological and Biological Studies
    Preț: 36753 lei
  • Permutation Testing for Isotonic Inference on Association Studies in Genetics
    Preț: 33587 lei
  • Brief Guidelines for Methods and Statistics in Medical Research
    Preț: 43540 lei
  • 15% Bayesians Versus Frequentists: A Philosophical Debate on Statistical Reasoning
    Preț: 45382 lei
  • Penalty, Shrinkage and Pretest Strategies: Variable Selection and Estimation
    Preț: 37094 lei
  • The Borel-Cantelli Lemma
    Preț: 37052 lei
  • The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection
    Preț: 26593 lei
  • Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research
    Preț: 34771 lei
  • Optimal Experimental Design for Non-Linear Models: Theory and Applications
    Preț: 37015 lei
  • Statistical Models for Proportions and Probabilities
    Preț: 26524 lei
  • Statistical Inference for Financial Engineering
    Preț: 37094 lei
  • 5% SPSS for Starters, Part 2
    Preț: 32050 lei
  • Optimal Stochastic Control Schemes within a Structural Reliability Framework
    Preț: 36962 lei
  • Statistical Inference for Discrete Time Stochastic Processes
    Preț: 26784 lei
  • Interactive LISREL in Practice: Getting Started with a SIMPLIS Approach
    Preț: 36962 lei
  • Theoretical Aspects of Spatial-Temporal Modeling
    Preț: 37169 lei
  • Unobserved Variables: Models and Misunderstandings
    Preț: 36903 lei
  • Applied Matrix and Tensor Variate Data Analysis
    Preț: 37206 lei
  • Student’s t-Distribution and Related Stochastic Processes
    Preț: 26652 lei
  • Handling Missing Data in Ranked Set Sampling
    Preț: 37094 lei
  • Formulas Useful for Linear Regression Analysis and Related Matrix Theory: It's Only Formulas But We Like Them
    Preț: 37148 lei
  • Dose-Finding Designs for Early-Phase Cancer Clinical Trials: A Brief Guidebook to Theory and Practice
    Preț: 43728 lei
  • Adaptive Sampling Designs: Inference for Sparse and Clustered Populations
    Preț: 36828 lei
  • Statistical Causal Discovery: LiNGAM Approach
    Preț: 33725 lei
  • Software Reliability Modeling: Fundamentals and Applications
    Preț: 34872 lei
  • An Introduction to Bartlett Correction and Bias Reduction
    Preț: 37036 lei
  • A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem: with Simulations and Examples in SAS®
    Preț: 26422 lei
  • 5% Machine Learning in Medicine - Cookbook Two
    Preț: 35382 lei
  • Generalized Hyperbolic Secant Distributions: With Applications to Finance
    Preț: 36828 lei
  • Nonlinear Principal Component Analysis and Its Applications
    Preț: 43371 lei

Preț: 40609 lei

Nou

Puncte Express: 609
Preț estimativ în valută:
7774€ • 8093$ • 6400£

Carte tipărită la comandă

Livrare economică 01-15 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319025315
ISBN-10: 3319025317
Pagini: 176
Ilustrații: VII, 167 p. 16 illus., 14 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Statistics

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Introduction to Biostatistics and R.- Data exploration, descriptive statistics and measures of central tendency.- Student's t-Test for independent samples.- Student's t-Test for matched pairs.- One way ANOVA.- Two way ANOVA.- Correlation and linear regression.- Future Actions and Next Steps.

Recenzii

From the book reviews:
“This text serves as an introduction to the use of R in biostatistics. It has specifically been structured to demonstrate the use of R syntax as opposed to the use of a point-and-select graphical user interface. … Small and easy-to-follow confidence-building examples have been used throughout this text. … This monograph is very useful not only for students in informatics, but especially also for those in medicine and biology related with the courses in biostatistics (medical statistics) and bioinformatics.” (T. Postelnicu, zbMATH 1306.62016, 2015)

Notă biografică

Dr. MacFarland (tommac@nova.edu) is Senior Research Associate (Office of Institutional Effectiveness, http://www.nova.edu/ie/) and Associate Professor (Graduate School of Computer and Information Sciences, http://scis.nova.edu/) at Nova Southeastern University, Fort Lauderdale, Florida, USA. Dr. MacFarland first used S on a UNIX platform in 1988 to teach statistics for face-to-face and online distance education students majoring in the computing sciences and later in the 1990s transitioned to R. Since then Dr. MacFarland has used R for graduate students in non-computing majors, such as allied health, disaster preparedness, dispute resolution, education, and marine biology. An interest in biostatistics was developed when Dr. MacFarland studied agriculture at the baccalaureate and graduate level, but prior to the use of hand-held calculators and personal computers.

Textul de pe ultima copertă

Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R.
Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples, t-Test for matched pairs, ANOVA, correlation and linear regression, and advice for future work.

Caracteristici

Includes supplementary material: sn.pub/extras