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: - 0865428719
- 610/.7/27 21
- R853.S7 K497 2003
- WA 950
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KMTC:KITUI CAMPUS General Stacks | R853.S7 K497 2003 (Browse shelf(Opens below)) | Available | KTU/2075 |
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| R853.S7 D39 2008 Easy interpretation of biostatistics : the vital link to applying evidence in medical decisions / | R853.S7 D39 2008 Easy interpretation of biostatistics : the vital link to applying evidence in medical decisions / | R853.S7 K38 1999 Multivariable analysis : a practical guide for clinicians / | R853.S7 K497 2003 Essential medical statistics / | R853.S7 M37 2010 Introductory statistics for health and nursing using SPSS / | R853.S7 M37 2010 Introductory statistics for health and nursing using SPSS / | R853 S7.M37 2010 Introductory Statistics for Health and Nursing Using SPSS |
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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