[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-31756":3,"doc-seo-31756":27},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":4,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"page_count":20,"language":21,"language_code":22,"table_of_contents":23,"faqs":24,"seo_title":13,"seo_description":14,"update_tm":25,"read_time":26},31756,4810365810221,"Aurora","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",7,"Healthcare","Essential Medical Statistics","Essential Medical Statistics (Second Edition) provides a structured, practice-oriented guide to core and advanced statistical methods used in medical research and epidemiology. It covers data definition and visualization, analysis of numerical outcomes with confidence intervals, hypothesis testing, P-values, ANOVA, and regression models, then extends to binary outcomes, risk and odds, contingency tables, stratification for confounding, and logistic regression. It further addresses longitudinal rates and survival analysis, statistical modelling including likelihood, clustered data, systematic reviews, meta-analysis, Bayesian methods, plus study design links, sample size calculation, measurement error, and interpretation strategies.","cbCaio6deEDAYf7A","https://ap.wps.com/l/cbCaio6deEDAYf7A","pdf",2348976,1,513,"English","en","# Preface to the second edition\n# Part A: Basics\n## Using this book\n## Defining the data\n## Displaying the data\n# Part B: Analysis of numerical outcomes\n## Means, standard deviations and standard errors\n## The normal distribution\n## Confidence interval for a mean\n## Comparison of two means\n## Analysis of variance\n## Linear regression and correlation\n## Multiple regression\n## Goodness of fit and regression diagnostics\n## Transformations\n# Part C: Analysis of binary outcomes\n## Probability, risk and odds\n## Proportions and the binomial distribution\n## Comparing two proportions\n## Chi-squared tests\n## Controlling for confounding: stratification\n## Logistic regression\n## Matched studies\n# Part D: Longitudinal studies: Analysis of rates and survival times\n## Poisson distribution and longitudinal studies\n## Comparing rates\n## Poisson regression\n## Standardization\n## Survival analysis\n## Regression analysis of survival data\n# Part E: Statistical modelling\n## Likelihood\n## Regression modelling\n## Relaxing model assumptions\n## Analysis of clustered data\n## Systematic reviews and meta-analysis\n## Bayesian statistics\n# Part F: Study design, analysis and interpretation\n## Linking analysis to study design\n## Calculation of required sample size\n## Measurement error\n## Measures of association and impact\n## Strategies for analysis\n# Appendix: Statistical tables\n## Statistical tables and critical values\n# Bibliography\n# Index","[{\"question\":\"What topics are covered in the book’s basics section?\",\"answer\":\"The book introduces how to use the material, define data, 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