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Record Nr. |
UNINA9910458277203321 |
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Autore |
Bowers David <1938-> |
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Titolo |
Medical statistics from scratch [[electronic resource] ] : an introduction for health professionals / / David Bowers |
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Pubbl/distr/stampa |
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Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
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ISBN |
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1-281-32182-6 |
9786611321826 |
0-470-72444-7 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (302 p.) |
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Disciplina |
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Soggetti |
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Medical statistics |
Medicine - Research - Statistical methods |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [273]-276) and index. |
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Nota di contenuto |
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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; Learning Objectives; Picture it! |
Charting Nominal and Ordinal DataCharting 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; Collecting the Data - Types of Sample; Types of Study; |
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Confounding |
MatchingComparing 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; The Link between Probability and Odds; The Risk Ratio; The Odds Ratio; Number Needed to Treat (NNT) |
V The Informed Guess - Confidence Interval Estimation9 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?; 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 TestEstimating 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; Estimating Ratios of Means, Risks and Odds; VI Putting it to the Test |
12 Testing Hypotheses about the Difference between Two Population Parameters |
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Sommario/riassunto |
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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 lit |
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