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Essential medical statistics /

by Kirkwood, Betty R.
Edition statement:2nd ed. Published by : Blackwell Science, (Malden, Mass. :) Physical details: x, 501 p. : ill. ; 25 cm. ISBN:0865428719. Year: 2003
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Item type Current location Call number Status Date due Barcode
Sargodha Medical College of Sargodha University
610.727 KIE (Browse shelf) Available 77719
Sargodha Medical College of Sargodha University
610.727 KIE (Browse shelf) Available 77723
Sargodha Medical College of Sargodha University
610.727 KIE (Browse shelf) Available 77721
Sargodha Medical College of Sargodha University
610.727 KIE (Browse shelf) Available 77720
Sargodha Medical College of Sargodha University
610.727 KIE (Browse shelf) Available 77722

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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