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Medical Statistics from Scratch : an Introduction for Health Professionals.

This long awaited second edition of this bestseller continues to provide a comprehensive, user friendly, down to earth guide to elementary statistics. The book presents a detailed account of the most important procedures for the analysis of data, from the calculation of simple proportions, to a vari...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiley 2008.
Temas:
Acceso en línea:Texto completo

MARC

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520 |a This long awaited second edition of this bestseller continues to provide a comprehensive, user friendly, down to earth guide to elementary statistics. The book presents a detailed account of the most important procedures for the analysis of data, from the calculation of simple proportions, to a variety of statistical tests, and the use of regression models for modeling of clinical outcomes. The level of mathematics is kept to a minimum to make the material easily accessible to the novice, and a multitude of illustrative cases are included in every chapter, drawn from the current research literature. The new edition has been completely revised and updated and includes new chapters on basic quantitative methods, measuring survival, measurement scales, diagnostic testing, bayesian methods, meta analysis and systematic reviews. 
505 0 |a Intro -- Medical Statistics from Scratch -- Contents -- Preface to the 2nd Edition -- Preface to the 1st Edition -- Introduction -- I Some Fundamental Stuff -- 1 First things first -- the nature of data -- Learning Objectives -- Variables and Data -- The good, the Bad, and the Ugly -- Types of Variable -- Categorical Variables -- Metric Variables -- How can I Tell what Type of Variable I am Dealing with? -- II Descriptive Statistics -- 2 Describing Data with Tables -- Learning Objectives -- What is Descriptive Statistics? -- The Frequency Table -- 3 Describing Data with Charts 
505 8 |a Learning Objectives -- Picture it! -- Charting Nominal and Ordinal Data -- Charting Discrete Metric Data -- Charting Continuous Metric Data -- Charting Cumulative Data -- 4 Describing Data from its Shape -- Learning Objectives -- The Shape of Things to Come -- 5 Describing Data with Numeric Summary Values -- Learning Objectives -- Numbers R us -- Summary Measures of Location -- Summary Measures of Spread -- Standard Deviation and the Normal Distribution -- III Getting the Data -- 6 Doing it Right First Time -- Designing a Study -- Learning Objectives -- Hey ho! Hey ho! It's Off to Work we Go 
505 8 |a Collecting the Data -- Types of Sample -- Types of Study -- Confounding -- Matching -- Comparing Cohort and Case-Control Designs -- Getting Stuck in -- Experimental Studies -- IV From Little to Large -- Statistical Inference -- 7 From Samples to Populations -- Making Inferences -- Learning Objectives -- Statistical Inference -- 8 Probability, Risk and Odds -- Learning Objectives -- Chance would be a Fine Thing -- The Idea of Probability -- Calculating Probability -- Probability and the Normal Distribution -- Risk -- Odds -- Why you can't Calculate Risk in a Case-Control Study 
505 8 |a The Link between Probability and Odds -- The Risk Ratio -- The Odds Ratio -- Number Needed to Treat (NNT) -- V The Informed Guess -- Confidence Interval Estimation -- 9 Estimating the Value of a Single Population Parameter -- The Idea of Confidence Intervals -- Learning Objectives -- Confidence Interval Estimation for a Population Mean -- Confidence Interval for a Population Proportion -- Estimating a Confidence Interval for the Median of a Single Population -- 10 Estimating the Difference between Two Population Parameters -- Learning Objectives -- What's the Difference? 
505 8 |a Estimating the Difference between the Means of Two Independent Populations -- Using a Method Based on the Two-Sample t Test -- Estimating the Difference between Two Matched Population Means -- Using a Method Based on the Matched-Pairs t Test -- Estimating the Difference between Two Independent Population Proportions -- Estimating the Difference between Two Independent Population Medians -- The Mann-Whitney Rank-Sums Method -- Estimating the Difference between Two Matched Population Medians -- Wilcoxon Signed-Ranks Method -- 11 Estimating the Ratio of Two Population Parameters -- Learning Objectives 
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