Über den Autor
Aviva Petrie, Head of Biostatistics Unit and Senior Lecturer, Eastman Dental Institute, University College London; Honorary Lecturer in Medical Statistics, Medical Statistics Unit, London School of Hygiene and Tropical Medicine
Caroline Sabin, Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London.
PrefacernLearning objectivesrnHandling datarn1 Types of datarn2 Data entryrn3 Error checking and outliersrn4 Displaying data graphicallyrn5 Describing data: the 'average'rn6 Describing data: the 'spread'rn7 Theoretical distributions: the Normal distributionrn8 Theoretical distributions: other distributionsrn9 TransformationsrnSampling and Estimationrn10 Sampling and sampling distributionsrn11 Confidence intervalsrnStudy Designrn12 Study design Irn13 Study design IIrn14 Clinical trialsrn15 Cohort studiesrn16 Case-control studiesrnHypothesis Testingrn17 Hypothesis testingrn18 Errors in hypothesis testingrnBasic techniques for analysing datarnNumerical Datarn19 Numerical data: a single grouprn20 Numerical data: two related groupsrn21 Numerical data: two unrelated groupsrn22 Numerical data: more than two groupsrnCategorical Datarn23 Categorical data: a single proportionrn24 Categorical data: two proportionsrn25 Categorical data: more than two categoriesrnRegression and Correlationrn26 Correlation 67rn27 The theory of linear regressionrn28 Performing a linear regression analysisrn29 Multiple linear regressionrn30 Binary outcomes and logistic regressionrn31 Rates and Poisson regressionrn32 Generalized linear modelsrn33 Explanatory variables in statistical modelsrnImportant Considerationsrn34 Bias and confoundingrn35 Checking assumptionsrn36 Sample size calculationsrn37 Presenting resultsrnAdditional Chaptersrn38 Diagnostic toolsrn39 Assessing agreementrn40 Evidence-based medicinern41 Methods for clustered datarn42 Regression methods for clustered datarn43 Systematic reviews and meta-analysisrn44 Survival analysisrn45 Bayesian methodsrn46 Developing prognostic scoresrnAppendicesrnA Statistical tablesrnB Altman's nomogram for sample size calculationsrnC Typical computer outputrnD Glossary of termsrnIndex
The at a Glance series is popular among medical students and junior doctors for its concise and simple approach and excellent illustrations.rnEach bite-sized chapter incorporates colour summary diagrams with corresponding explanatory text. Covering a wide range of topics, books in the at a Glance series are ideal as introductory subject texts or for revision purposes, and are useful throughout medical school and beyond.rnEverything you need to know about Medical Statistics...at a Glance!rnMedical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures.rnThis new edition of Medical Statistics at a Glance:n* Presents key facts accompanied by clear and informative tables and diagramsn* Focuses on illustrative examples which show statistics in action, with an emphasis on the interpretation of computer data analysis rather than complex hand calculationsn* Includes extensive cross-referencing, a comprehensive glossary of terms and flow-charts to make it easier to choose appropriate testsn* Now provides the learning objectives for each chaptern* Includes a new chapter on Developing Prognostic Scoresn* Includes new or expanded material on study management, multi-centre studies, sequential trials, bias and different methods to remove confounding in observational studies, multiple comparisons, ROC curves and checking assumptions in a logistic regression analysisn* The companion website at www.medstatsaag.com contains supplementary material including an extensive reference list and multiple choice questions (MCQs) with interactive answers for self-assessment.rnMedical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.rnReviews of the previous editionsrn"The more familiar I have become with this book, the more I appreciate the clear presentation and unthreatening prose. It is now a valuable companion to my formal statistics course."n-International Journal of Epidemiologyrn"I heartily recommend it, especially to first years, but it's equally appropriate for an intercalated BSc or Postgraduate research. If statistics give you headaches - buy it. If statistics are all you think about - buy it."n-GKT Gazettern"...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book."n-4th Year Medical Student, Barts and the London Chronicle, Spring 2003rnTitles of related interestrnEssential Medical Statistics, 2nd Edition; B.R. Kirkwood & J.A.C. Sterne; 2003; 9780865428713rnStatistical Methods in Medical Research, 4th Edition; P. Armitage, G. Berry & J.N.S. Matthews; 2001; 9780632052578rnStatistics at Square One, 11th Edition - Forthcoming; M.J. Campbell; June 2009; 9781405191005rnStatistics at Square Two, 2nd Edition; M.J. Campbell; 2006; 9781405134903