{"product_id":"medical-biostatistics-9781498799539","title":"Medical Biostatistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eEncyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIn \u003cem\u003eReview by International Society for Clinical Biostatistics (Number 65, June 2018), Pentti Nieminen\u003c\/em\u003e says, \"This book is indeed a practical encyclopaedia. It is not only for biostatisticians; it is useful to all those who disseminate medical information and need to do their job well. The book is not a glossary of terms, but a pedagogically-oriented compilation. It is a reference tool for professional communication in medical statistics. Overall, this book is a very comprehensive coverage of data analysis methods as they are used in the reporting of medical research. It is organized so that it is easy to dip in to, with a comprehensive index and extensive lists of further readings available at the end of each section. For those of us who teach or supervise medical students and researchers, this is a useful resource. If you need a text book to assist with explaining, through worked examples and exercises, then you have found a gem.\"\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eMedical Uncertainties.\u003c\/b\u003e Uncertainties in Health and Disease. Uncertainties in Medical Research. Uncertainties in Health Planning and Evaluation. Management of Uncertainties: About This Book. References. Exercises. \u003cb\u003eBasics of Medical Studies.\u003c\/b\u003e Study Protocol. Types of Medical Studies. Data Collection. Nonsampling Errors and Other Biases. References. Exercises. \u003cb\u003eSampling Methods.\u003c\/b\u003e Sampling Concepts. Common Methods of Random Sampling. Some Other Methods of Sampling. References. Exercises. \u003cb\u003eDesigns for Observational Studies.\u003c\/b\u003e Some Basic Concepts. Prospective Studies. Retrospective Studies. Cross-Sectional Studies. Comparative Performance of Prospective, Retrospective, and Cross-Sectional Studies. References. Exercises. \u003cb\u003eMedical Experiments.\u003c\/b\u003e Basic Features of Medical Experiments. Design of Experiments. Choice of Sampling of Units for Laboratory Experiments. References. Exercises. \u003cb\u003eClinical Trials.\u003c\/b\u003e Therapeutic Trials. Issues in Clinical Trials. Trials Other than for Therapeutics. References. Exercises. \u003cb\u003eNumerical Methods for Representing Variation. \u003c\/b\u003eTypes of Measurement. Tabular Presentation. Rates and Ratios. Central and Other Locations. Measuring Variability. References. Exercises. \u003cb\u003ePresentation of Variation by Figures – Data Visualization. \u003c\/b\u003eGraphs for Frequency Distribution. Pie, Bar, and Line Diagrams. Special Diagrams in Health and Medicine. Charts and Maps. References. Exercises. \u003cb\u003eSome Quantitative Aspects of Medicine.\u003c\/b\u003e Some Epidemiological Measures of Health and Disease\u003cb\u003e. \u003c\/b\u003eReference Values. Measurement of Uncertainty: Probability. Validity of Medical Tests. Search for the Best Threshold of a Continuous Test: ROC Curve. References. Exercises. \u003cb\u003eClinimetrics and Evidence-Based Medicine.\u003c\/b\u003e Indicators, Indexes, and Scores. Clinimetrics. Evidence-Based Medicine. References. Exercises. \u003cb\u003eMeasurement of Community Health.\u003c\/b\u003e Measures of Fertility and Medical Demography. Indicators of Mortality. Measures of Morbidity. Indicators of Social and Mental Health. Composite Indexes of Health. References. Exercises. \u003cb\u003eConfidence Intervals, Principles of Tests of Significance, and Sample Size. \u003c\/b\u003eSampling Distributions. Confidence Intervals. \u003ci\u003eP\u003c\/i\u003e-Values and Statistical Significance. Assessing Gaussian Pattern. Initial Debate on Statistical Significance. Sample Size Determination in Some Cases. References. Exercises. \u003cb\u003eInference from Proportions.\u003c\/b\u003e One Qualitative Variable. Proportions in × Tables. Analysis of \u003ci\u003eR\u003c\/i\u003e×\u003ci\u003eC\u003c\/i\u003e Tables (Large \u003ci\u003en\u003c\/i\u003e). Three-Way Tables. References. Exercises. \u003cb\u003eRelative Risk and Odds Ratio. \u003c\/b\u003eRelative and Attributable Risks (Large \u003ci\u003en\u003c\/i\u003e). Odds Ratio. Stratified Analysis, Sample Size, and Meta-Analysis. References. Exercises. \u003cb\u003eInference from Means. \u003c\/b\u003eComparison of Means in One and Two Groups (Gaussian Conditions): Student \u003ci\u003et\u003c\/i\u003e-Test. Comparison of Means in Three or More Groups (Gaussian Conditions): ANOVA \u003ci\u003eF\u003c\/i\u003e-Test. NonGaussian Conditions: Nonparametric Tests for Location. When Significant is not Significant. References. Exercises. Relationships: Quantitative Outcome. Some General Features of a Regression Setup. Linear Regression Models. Adequacy of a Regression. Some Issues in Linear Regression. Measuring the Strength of Quantitative Relationship. Assessment of Quantitative Agreement. References. Exercises. Relationships: Qualitative Dependent. Binary Dependent: Logistic Regression (Large \u003ci\u003en\u003c\/i\u003e). Inference from Logistic Coefficients. Issues in Logistic Regression. Some Models for Qualitative Data and Generalizations. Strength of Relationship in Qualitative Variables. References. Exercises. \u003cb\u003eSurvival Analysis.\u003c\/b\u003e Life Expectancy. Analysis of Survival Data. Issues in Survival Analysis. References. Exercises. \u003cb\u003eSimultaneous Consideration of Several Variables. \u003c\/b\u003eScope of Multivariate Methods. Dependent and Independent Sets of Variables. Identification of Structure in the Observations. References. Exercises.\u003cb\u003eQuality Considerations. \u003c\/b\u003eStatistical Quality Control in Medical Care. Quality of Measurement Instruments. Quality of Statistical Models: Robustness. Quality of Data. References. Exercises. \u003cb\u003eStatistical Fallacies. \u003c\/b\u003eProblems with the Sample. Inadequate Analysis. Errors in Presentation of Findings. Misinterpretation. Brief Solution and Answer to the Selected Exercises. Appendix A. Statistical Softwares. Appendix B. Some Statistical Tables. Appendix C. Solution Illustrations Using R. Index\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":50578123751767,"sku":"9781498799539","price":199.5,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781498799539.jpg?v=1746097997","url":"https:\/\/bookcurl.com\/products\/medical-biostatistics-9781498799539","provider":"Book Curl","version":"1.0","type":"link"}