Essential medical statistics / Betty R. Kirkwood, Jonathan A.C. Sterne.
Material type: TextPublication details: Malden, Mass. : Blackwell Science, 2003.Edition: 2nd edDescription: x, 501 p. : ill. ; 25 cmISBN:- 97808655428713
- R853.S7 K38
Item type | Current library | Call number | Status | Date due | Barcode | |
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Books | SMHS Library General Stacks | R853.S7 K38 (Browse shelf(Opens below)) | Available | SMHS-0217050016 | ||
Books | SMHS Library General Stacks | R853.S7 K37 (Browse shelf(Opens below)) | Available | SMHS0217050017 | ||
Books | SMHS Library General Stacks | R853.S7 K36 (Browse shelf(Opens below)) | Available | SMHS0217050018 | ||
Books | SMHS Library General Stacks | R853.S7 K34 (Browse shelf(Opens below)) | Available | SMHS0217050420 |
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R853.S7 C11 Medical statistics : | R853.S7 K11 Multivariable analysis : | R853.S7 K34 Essential medical statistics / | R853.S7 K36 Essential medical statistics / | R853.S7 K37 Essential medical statistics / | R853.S7 K38 Essential medical statistics / | R855.A2 C51 Computational medicine, public health, and biotechnology, Austin, Texas, 24-28 April 1994 : |
Rev. ed. of: Essentials of medical statistics / Betty R. Kirkwood. 1988.
Includes bibliographical references (p. [487]-492) and index.
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, risks 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 -- Regressional 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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