{"product_id":"medical-statistics-9781118589939","title":"Medical Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eProvides you with the essential knowledge and skills to undertake and understand evidence-based clinical research. This book is suitable for researchers and clinicians engaged in a wide range of research studies. Each chapter includes worked research examples with real data sets that can be downloaded.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction, ix\u003c\/p\u003e \u003cp\u003eAcknowledgements, xiii\u003c\/p\u003e \u003cp\u003eAbout the companion website, xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Creating an SPSS data file and preparing to analyse the data, 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Creating an SPSS data file, 1\u003c\/p\u003e \u003cp\u003e1.2 Opening data from Excel in SPSS, 6\u003c\/p\u003e \u003cp\u003e1.3 Categorical and continuous variables, 7\u003c\/p\u003e \u003cp\u003e1.4 Classifying variables for analyses, 7\u003c\/p\u003e \u003cp\u003e1.5 Hypothesis testing and P values, 8\u003c\/p\u003e \u003cp\u003e1.6 Choosing the correct statistical test, 9\u003c\/p\u003e \u003cp\u003e1.7 Sample size requirements, 10\u003c\/p\u003e \u003cp\u003e1.8 Study handbook and data analysis plan, 12\u003c\/p\u003e \u003cp\u003e1.9 Documentation, 13\u003c\/p\u003e \u003cp\u003e1.10 Checking the data, 13\u003c\/p\u003e \u003cp\u003e1.11 Avoiding and replacing missing values, 14\u003c\/p\u003e \u003cp\u003e1.12 SPSS data management capabilities, 16\u003c\/p\u003e \u003cp\u003e1.13 Managing SPSS output, 20\u003c\/p\u003e \u003cp\u003e1.14 SPSS help commands, 21\u003c\/p\u003e \u003cp\u003e1.15 Golden rules for reporting numbers, 21\u003c\/p\u003e \u003cp\u003e1.16 Notes for critical appraisal, 21\u003c\/p\u003e \u003cp\u003eReferences, 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Descriptive statistics, 24\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Parametric and non-parametric statistics, 25\u003c\/p\u003e \u003cp\u003e2.2 Normal distribution, 25\u003c\/p\u003e \u003cp\u003e2.3 Skewed distributions, 26\u003c\/p\u003e \u003cp\u003e2.4 Checking for normality, 29\u003c\/p\u003e \u003cp\u003e2.5 Transforming skewed variables, 43\u003c\/p\u003e \u003cp\u003e2.6 Data analysis pathway, 49\u003c\/p\u003e \u003cp\u003e2.7 Reporting descriptive statistics, 49\u003c\/p\u003e \u003cp\u003e2.8 Checking for normality in published results, 50\u003c\/p\u003e \u003cp\u003e2.9 Notes for critical appraisal, 51\u003c\/p\u003e \u003cp\u003eReferences, 51\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Comparing two independent samples, 52\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Comparing the means of two independent samples, 52\u003c\/p\u003e \u003cp\u003e3.2 One- and two-sided tests of significance, 54\u003c\/p\u003e \u003cp\u003e3.3 Effect sizes, 55\u003c\/p\u003e \u003cp\u003e3.4 Study design, 57\u003c\/p\u003e \u003cp\u003e3.5 Influence of sample size, 58\u003c\/p\u003e \u003cp\u003e3.6 Two-sample t-test, 71\u003c\/p\u003e \u003cp\u003e3.7 Confidence intervals, 73\u003c\/p\u003e \u003cp\u003e3.8 Reporting the results from two-sample t-tests, 75\u003c\/p\u003e \u003cp\u003e3.9 Rank-based non-parametric tests, 80\u003c\/p\u003e \u003cp\u003e3.10 Notes for critical appraisal, 88\u003c\/p\u003e \u003cp\u003eReferences, 89\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Paired and one-sample t-tests, 90\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Paired t-tests, 90\u003c\/p\u003e \u003cp\u003e4.2 Non-parametric test for paired data, 97\u003c\/p\u003e \u003cp\u003e4.3 Standardizing for differences in baseline measurements, 99\u003c\/p\u003e \u003cp\u003e4.4 Single-sample t-test, 102\u003c\/p\u003e \u003cp\u003e4.5 Testing for a between-group difference, 106\u003c\/p\u003e \u003cp\u003e4.6 Notes for critical appraisal, 110\u003c\/p\u003e \u003cp\u003eReferences, 111\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Analysis of variance, 112\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Building ANOVA and ANCOVA models, 113\u003c\/p\u003e \u003cp\u003e5.2 ANOVA models, 113\u003c\/p\u003e \u003cp\u003e5.3 One-way analysis of variance, 117\u003c\/p\u003e \u003cp\u003e5.4 Effect size for ANOVA, 127\u003c\/p\u003e \u003cp\u003e5.5 Post-hoc tests for ANOVA, 128\u003c\/p\u003e \u003cp\u003e5.6 Testing for a trend, 133\u003c\/p\u003e \u003cp\u003e5.7 Reporting the results of a one-way ANOVA, 134\u003c\/p\u003e \u003cp\u003e5.8 Factorial ANOVA models, 135\u003c\/p\u003e \u003cp\u003e5.9 An example of a three-way ANOVA, 140\u003c\/p\u003e \u003cp\u003e5.10 Analysis of covariance (ANCOVA), 145\u003c\/p\u003e \u003cp\u003e5.11 Testing the model assumptions of ANOVA\/ANCOVA, 149\u003c\/p\u003e \u003cp\u003e5.12 Reporting the results of an ANCOVA, 158\u003c\/p\u003e \u003cp\u003e5.13 Notes for critical appraisal, 158\u003c\/p\u003e \u003cp\u003eReferences, 160\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Analyses of longitudinal data, 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Study design, 161\u003c\/p\u003e \u003cp\u003e6.2 Sample size and power, 162\u003c\/p\u003e \u003cp\u003e6.3 Covariates, 163\u003c\/p\u003e \u003cp\u003e6.4 Assumptions of repeated measures ANOVA and mixed models, 163\u003c\/p\u003e \u003cp\u003e6.5 Repeated measures analysis of variance, 164\u003c\/p\u003e \u003cp\u003e6.6 Linear mixed models, 182\u003c\/p\u003e \u003cp\u003e6.7 Notes for critical appraisal, 195\u003c\/p\u003e \u003cp\u003eReferences, 196\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Correlation and regression, 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Correlation coefficients, 197\u003c\/p\u003e \u003cp\u003e7.2 Regression models, 205\u003c\/p\u003e \u003cp\u003e7.3 Multiple linear regression, 213\u003c\/p\u003e \u003cp\u003e7.4 Interactions, 230\u003c\/p\u003e \u003cp\u003e7.5 Residuals, 235\u003c\/p\u003e \u003cp\u003e7.6 Outliers and remote points, 237\u003c\/p\u003e \u003cp\u003e7.7 Validating the model, 240\u003c\/p\u003e \u003cp\u003e7.8 Reporting a multiple linear regression, 241\u003c\/p\u003e \u003cp\u003e7.9 Non-linear regression, 242\u003c\/p\u003e \u003cp\u003e7.10 Centering, 244\u003c\/p\u003e \u003cp\u003e7.11 Notes for critical appraisal, 247\u003c\/p\u003e \u003cp\u003eReferences, 247\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Rates and proportions, 249\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Summarizing categorical variables, 249\u003c\/p\u003e \u003cp\u003e8.2 Describing baseline characteristics, 251\u003c\/p\u003e \u003cp\u003e8.3 Incidence and prevalence, 252\u003c\/p\u003e \u003cp\u003e8.4 Chi-square tests, 253\u003c\/p\u003e \u003cp\u003e8.5 2 × 3 Chi-square tables, 260\u003c\/p\u003e \u003cp\u003e8.6 Cells with small numbers, 262\u003c\/p\u003e \u003cp\u003e8.7 Exact chi square test, 263\u003c\/p\u003e \u003cp\u003e8.8 Number of cells that can be tested, 264\u003c\/p\u003e \u003cp\u003e8.9 Reporting chi-square tests and proportions, 266\u003c\/p\u003e \u003cp\u003e8.10 Large contingency tables, 267\u003c\/p\u003e \u003cp\u003e8.11 Categorizing continuous variables, 271\u003c\/p\u003e \u003cp\u003e8.12 Chi-square trend test for ordered variables, 273\u003c\/p\u003e \u003cp\u003e8.13 Number needed to treat (NNT), 277\u003c\/p\u003e \u003cp\u003e8.14 Paired categorical variables: McNemar’s chi-square test, 281\u003c\/p\u003e \u003cp\u003e8.15 Notes for critical appraisal, 285\u003c\/p\u003e \u003cp\u003eReferences, 286\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Risk statistics, 287\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Risk statistics, 287\u003c\/p\u003e \u003cp\u003e9.2 Study design, 288\u003c\/p\u003e \u003cp\u003e9.3 Odds ratio, 288\u003c\/p\u003e \u003cp\u003e9.4 Protective odds ratios, 296\u003c\/p\u003e \u003cp\u003e9.5 Adjusted odds ratios, 298\u003c\/p\u003e \u003cp\u003e9.6 Relative risk, 308\u003c\/p\u003e \u003cp\u003e9.7 Number needed to be exposed for one additional person to be harmed (NNEH), 312\u003c\/p\u003e \u003cp\u003e9.8 Notes for critical appraisal, 312\u003c\/p\u003e \u003cp\u003eReferences, 313\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Tests of reliability and agreement, 314\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Reliability and agreement, 314\u003c\/p\u003e \u003cp\u003e10.2 Kappa statistic, 317\u003c\/p\u003e \u003cp\u003e10.3 Reliability of continuous measurements, 321\u003c\/p\u003e \u003cp\u003e10.4 Intra-class correlation, 322\u003c\/p\u003e \u003cp\u003e10.5 Measures of agreement, 325\u003c\/p\u003e \u003cp\u003e10.6 Notes for critical appraisal, 329\u003c\/p\u003e \u003cp\u003eReferences, 329\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Diagnostic statistics, 331\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Coding for diagnostic statistics, 331\u003c\/p\u003e \u003cp\u003e11.2 Positive and negative predictive values, 332\u003c\/p\u003e \u003cp\u003e11.3 Sensitivity and specificity, 335\u003c\/p\u003e \u003cp\u003e11.4 Likelihood ratio, 338\u003c\/p\u003e \u003cp\u003e11.5 Receiver Operating Characteristic (ROC) Curves, 339\u003c\/p\u003e \u003cp\u003e11.6 Notes for critical appraisal, 348\u003c\/p\u003e \u003cp\u003eReferences, 349\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Survival analyses, 350\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Study design, 351\u003c\/p\u003e \u003cp\u003e12.2 Censored observations, 351\u003c\/p\u003e \u003cp\u003e12.3 Kaplan–Meier survival method, 351\u003c\/p\u003e \u003cp\u003e12.4 Cox regression, 360\u003c\/p\u003e \u003cp\u003e12.5 Questions for critical appraisal, 368\u003c\/p\u003e \u003cp\u003eReferences, 368\u003c\/p\u003e \u003cp\u003eGlossary, 370\u003c\/p\u003e \u003cp\u003eUseful websites, 381\u003c\/p\u003e \u003cp\u003eIndex, 385\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48866374123863,"sku":"9781118589939","price":48.4,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781118589939.jpg?v=1722278346","url":"https:\/\/bookcurl.com\/products\/medical-statistics-9781118589939","provider":"Book Curl","version":"1.0","type":"link"}