基本説明
Focuses on illustrative examples to show statistics in action, rather than reams of irrelevant theory.
Full Description
Medical 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. This new edition of Medical Statistics at a Glance : Presents key facts accompanied by clear and informative tables and diagrams Focuses on illustrative examples which show statistics in action, with an emphasis on the interpretation of computer data analysis rather than complex hand calculations Includes extensive cross-referencing, a comprehensive glossary of terms and flow-charts to make it easier to choose appropriate tests Now provides the learning objectives for each chapter Includes a new chapter on Developing Prognostic Scores 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 analysis 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.
Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines. Reviews of the previous editions "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." -International Journal of Epidemiology "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." -GKT Gazette "...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." -4th Year Medical Student, Barts and the London Chronicle , Spring 2003
Contents
Preface 6 Learning objectives 8 Handling data 1 Types of data 14 2 Data entry 16 3 Error checking and outliers 18 4 Displaying data diagrammatically 20 5 Describing data: the 'average' 22 6 Describing data: the 'spread' 24 7 Theoretical distributions: the Normal distribution 26 8 Theoretical distributions: other distributions 28 9 Transformations 30 Sampling and estimation 10 Sampling and sampling distributions 32 11 Confidence intervals 34 Study design 12 Study design I 36 13 Study design II 38 14 Clinical trials 40 15 Cohort studies 44 16 Case--control studies 47 Hypothesis testing 17 Hypothesis testing 50 18 Errors in hypothesis testing 52 Basic techniques for analysing data Numerical data 19 Numerical data: a single group 54 20 Numerical data: two related groups 57 21 Numerical data: two unrelated groups 60 22 Numerical data: more than two groups 63 Categorical data 23 Categorical data: a single proportion 66 24 Categorical data: two proportions 69 25 Categorical data: more than two categories 72 Regression and correlation 26 Correlation 75 27 The theory of linear regression 78 28 Performing a linear regression analysis 80 29 Multiple linear regression 84 30 Binary outcomes and logistic regression 88 31 Rates and Poisson regression 92 32 Generalized linear models 96 33 Explanatory variables in statistical models 98 Important considerations 34 Bias and confounding 102 35 Checking assumptions 106 36 Sample size calculations 108 37 Presenting results 112 Additional chapters 38 Diagnostic tools 115 39 Assessing agreement 118 40 Evidence-based medicine 122 41 Methods for clustered data 124 42 Regression methods for clustered data 127 43 Systematic reviews and meta-analysis 130 44 Survival analysis 133 45 Bayesian methods 136 46 Developing prognostic scores 138 Appendices A Statistical tables 142 B Altman's nomogram for sample size calculations 149 C Typical computer output 150 D Glossary of terms 163 E Chapter numbers with relevant multiple - choice questions and structured questions from Medical Statistics at a Glance Workbook 174 Index 175
