A Handbook of Statistical Analyses Using R or Blueprints Computer Based Case Simulation Review

A Handbook of Statistical Analyses Using R

Author: Brian S Everitt

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.
Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive.
A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis.

Table of Contents:

1	An introduction to R	1
2	Simple inference	21
3	Conditional inference	41
4	Analysis of variance	55
5	Multiple linear regression	73
6	Logistic regression and generalised linear models	89
7	Density estimation	109
8	Recursive partitioning	131
9	Survival analysis	143
10	Analysing longitudinal data I	159
11	Analysing longitudinal data II	175
12	Meta-analysis	197
13	Principla component analysis	215
14	Multidimensional scaling	227
15	Cluster analysis	243

Book about: Smart Start Ups or The Web Collection Revealed Standard Edition

Blueprints Computer-Based Case Simulation Review: USMLE Step 3

Author: Carter E Wahl

Blueprints Computer-Based Case Simulation Review: USMLE Step 3 is the first and only book to break down the computer-based case simulations administered on day two of the Step 3 exam. Many review books help you study for the multiple-choice question portion of the USMLE Step 3, but none of them prepare you for the computer-based cases. More than a practical guide, this must-have resource is your key to scoring high. The focused strategy for handling cases lets you apply your clinical knowledge to the exam with confidence. If you want to maximize your Step 3 test score, you need Blueprints Computer-Based Case Simulation Review: USMLE Step 3. The book will help you master the CCS test format, understand the tricks to treating computerized patients, predict your CCS Case topics before the exam, and learn how your exam is scored. Special advice for International Medical Graduates is included.