Published 2003
Table of Contents:
“…Using this book -- Defining the data -- Displaying the data -- Means, standard deviations and standard errors -- The normal distribution -- Confidence interval for a mean -- Comparison of two means : confidence intervals, hypothesis tests and P-values -- Using P-values and confidence intervals to interpret the results of statistical analyses -- Comparison of means from several groups :
analysis of variance -- Linear regression and correlation -- Multiple regression -- Goodness of fit and regression diagnostics -- Transformations -- Probability, risk and odds (of disease) -- Proportions and the binomial distribution -- Comparing two proportions -- Chi-squared tests for 2 x 2 and larger contingency tables -- Controlling for confounding : stratification -- Logistic regression : comparing two or more exposure groups -- Logistic regression : controlling for confounding and other extensions -- Matched studies -- Longitudinal studies, rates and the Poisson distribution -- Comparing rates -- Poisson regression -- Standardization -- Survival
analysis : displaying and comparing survival patterns -- Regression
analysis of survival data -- Likelihood -- Regression modelling -- Relaxing model assumptions --
Analysis of clustered data -- Systematic reviews and meta-
analysis -- Bayesian statistics -- Linking
analysis to study design : summary of methods -- Calculation of required sample size -- Measurement error : assessment and implications -- Measures of association and impact -- Strategies for
analysis -- Appendix : statistical tables.…”
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