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Essential Medical Statistics, Second Edition |
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Comment from the Stata technical groupThis text gives an excellent overview of the basics of medical statistics and achieves a good balance between classic methodology, such as contingency tables, and more sophisticated models, such as Cox regression. As personal computers become more powerful, the use of complex models in leading medical journals is becoming more prevalent, and the second edition of this text follows this shift by focusing more on these models. A very nice section on basic meta-analysis is also included. Covered in the text are the basics of normal-based tests and inference, including linear regression, contingency tables and logistic regression, longitudinal analysis, Poisson regression, survival analysis (including the Cox model), likelihood theory, meta-analysis, Bayesian statistics, basic design, sample-size calculations, and measurement error. |
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Table of contentsView table of contents >> Preface to the second edition
Preface to the first edition
Part A Basics
1 Using this book
2 Defining the data 3 Displaying the data Part B Analysis of numerical outcomes
4 Means, standard deviations and standard errors
5 The normal distribution 6 Confidence interval for a mean 7 Comparison of two means: confidence intervals, hypothesis tests and P-values 8 Using P-values and confidence intervals to interpret the results of statistical analyses 9 Comparison of means from several groups: analysis of variance 10 Linear regression and correlation 11 Multiple regression 12 Goodness of fit and regression diagnostics 13 Transformations Part C Analysis of binary outcomes
14 Probability, risk, and odds (of disease)
15 Proportions and the binomial distribution 16 Comparing two proportions 17 Chi-squared tests for 2 x 2 and larger contingency tables 18 Controlling for confounding: stratification 19 Logistic regression: comparing two or more exposure groups 20 Logistic regression: controlling for confounding and other extensions 21 Matched studies Part D Longitudinal studies: Analysis of rates and survival times
22 Longitudinal studies, rates and the Poisson distribution
23 Comparing rates 24 Poisson regression 25 Standardization 26 Survival analysis: displaying and comparing survival patterns 27 Regression analysis of survival data Part E Statistical modelling
28 Likelihood
29 Regression modelling 30 Relaxing model assumptions 31 Analysis of clustered data 32 Systematic reviews and meta-analysis 33 Bayesian statistics Part F Study design, analysis and interpretation
34 Linking analysis to study design: summary of methods
35 Calculation of required sample size 36 Measurement error: assessment and implications 37 Measures of association and impact 38 Strategies for analysis Appendix: Statistical Tables
A1 Areas in tail of the standard normal distribution
A2 Percentage points of the standard normal distribution A3 Percentage points of the t distribution A4 Two-sided P-values for the t distribution, according to the value of the test statistic A5 Percentage points of the χ2 distribution A6 Probits A7 Critical values for the Wilcoxon matched pairs signed rank test A8 Critical ranges for the Wilcoxon rank sum test A9 Random numbers Bibliography
Index
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