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|a Poduri, S. R. S. Rao.
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|a Statistical Methodologies with Medical Applications.
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|a Somerset :
|b John Wiley & Sons, Incorporated,
|c 2016.
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|a 1 online resource (323 pages)
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|a Title Page; Table of Contents; Topics for illustrations, examples and exercises; Preface; List of abbreviations; 1 Statistical measures; 1.1 Introduction; 1.2 Mean, mode and median; 1.3 Variance and standard deviation; 1.4 Quartiles, deciles and percentiles; 1.5 Skewness and kurtosis; 1.6 Frequency distributions; 1.7 Covariance and correlation; 1.8 Joint frequency distribution; 1.9 Linear transformation of the observations; 1.10 Linear combinations of two sets of observations; Exercises; 2 Probability, random variable, expected value and variance; 2.1 Introduction.
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|a 2.2 Events and probabilities2.3 Mutually exclusive events; 2.4 Independent and dependent events; 2.5 Addition of probabilities; 2.6 Bayes' theorem; 2.7 Random variables and probability distributions; 2.8 Expected value, variance and standard deviation; 2.9 Moments of a distribution; Exercises; 3 Odds ratios, relative risk, sensitivity, specificity and the ROC curve; 3.1 Introduction; 3.2 Odds ratio; 3.3 Relative risk; 3.4 Sensitivity and specificity; 3.5 The receiver operating characteristic (ROC) curve; Exercises; 4 Probability distributions, expectations, variances and correlation.
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|a 4.1 Introduction4.2 Probability distribution of a discrete random variable; 4.3 Discrete distributions; 4.4 Continuous distributions; 4.5 Joint distribution of two discrete random variables; 4.6 Bivariate normal distribution; Exercises; Appendix A4; 5 Means, standard errors and confidence limits; 5.1 Introduction; 5.2 Expectation, variance and standard error (S.E.) of the sample mean; 5.3 Estimation of the variance and standard error; 5.4 Confidence limits for the mean; 5.5 Estimator and confidence limits for the difference of two means.
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|a 5.6 Approximate confidence limits for the difference of two means5.7 Matched samples and paired comparisons; 5.8 Confidence limits for the variance; 5.9 Confidence limits for the ratio of two variances; 5.10 Least squares and maximum likelihood methods of estimation; Exercises; Appendix A5; 6 Proportions, odds ratios and relative risks: Estimation and confidence limits; 6.1 Introduction; 6.2 A single proportion; 6.3 Confidence limits for the proportion; 6.4 Difference of two proportions or percentages; 6.5 Combining proportions from independent samples; 6.6 More than two classes or categories.
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|a 6.7 Odds ratio6.8 Relative risk; Exercises; Appendix A6; 7 Tests of hypotheses: Means and variances; 7.1 Introduction; 7.2 Principle steps for the tests of a hypothesis; 7.3 Right-sided alternative, test statistic and critical region; 7.4 Left-sided alternative and the critical region; 7.5 Two-sided alternative, critical region and the p-value; 7.6 Difference between two means: Variances known; 7.7 Matched samples and paired comparison; 7.8 Test for the variance; 7.9 Test for the equality of two variances; 7.10 Homogeneity of variances; Exercises.
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|a 8 Tests of hypotheses: Proportions and percentages.
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|a Includes bibliographical references and index.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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|a Statistical Methodologies with Medical Applications (Text)
|1 https://id.oclc.org/worldcat/entity/E39PD3HwYhb73vVP9bHDKM9KJP
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
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|i Print version:
|a Poduri, S.R.S. Rao.
|t Statistical Methodologies with Medical Applications.
|d Somerset : John Wiley & Sons, Incorporated, ©2016
|z 9781119258490
|
856 |
4 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4770534
|z Texto completo
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|6 505-01/(S
|a 10.6 Regression through the origin -- 10.7 Estimation of trends -- 10.8 Logistic regression and the odds ratio -- 10.8.1 A single continuous predictor -- 10.8.2 Two continuous predictors -- 10.8.3 A single dichotomous predictor -- 10.9 Weighted Least Squares (WLS) estimator -- 10.10 Correlation -- 10.10.1 Test of the hypothesis that two random variables are uncorrelated -- 10.10.2 Test of the hypothesis that the correlation coefficient takes a specified value -- 10.10.3 Confidence limits for the correlation coefficient -- 10.11 Further topics in regression -- 10.11.1 Linearity of the regression model and the lack of fit test -- 10.11.2 The assumption that ViXi=σ2, same at each Xi -- 10.11.3 Missing observations -- 10.11.4 Transformation of the regression model -- 10.11.5 Errors of measurements of (Xi, Yi) -- Exercises -- Appendix A10 -- A10.1 Square of the correlation of Yi and Yi -- A10.2 Multiple regression -- A10.3 Expression for SSR in (10.38) -- Chapter 11 Analysis of variance and covariance: Designs of experiments -- 11.1 Introduction -- 11.2 One-way classification: Balanced design -- 11.3 One-way random effects model: Balanced design -- 11.4 Inference for the variance components and the mean -- 11.5 One-way classification: Unbalanced design and fixed effects -- 11.6 Unbalanced one-way classification: Random effects -- 11.7 Intraclass correlation -- 11.8 Analysis of covariance: The balanced design -- 11.8.1 The model and least squares estimation -- 11.8.2 Tests of hypotheses for the slope coefficient and equality of the means -- 11.8.3 Confidence limits for the adjusted means and their differences -- 11.9 Analysis of covariance: Unbalanced design -- 11.9.1 Confidence limits for the adjusted means and the differences of the treatment effects -- 11.10 Randomized blocks -- 11.10.1 Randomized blocks: Random and mixed effects models.
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