{"product_id":"statistical-estimation-of-epidemiological-risk-hardback-9780470850718","title":"Statistical Estimation of Epidemiological Risk (Hardback) 9780470850718","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStatistical Estimation of Epidemiological Risk\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eKung-Jong Lui (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470850718, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 29 January 2004\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e212 pages\u003cbr\u003e22.8 x 16 x 1.7 cm, 0.435 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"…a concise, organized, and well-written text that provides the derivations of statistical formulas underlying much epidemiological research and practice.\" (\u003ci\u003eJournal of the American Statistical Association\u003c\/i\u003e, December 2005)  \u003cp\u003e\"...presents a considerable amount of recent research, much of which is the author's own...\" (\u003ci\u003eRoyal Statistical Society\u003c\/i\u003e, Vol.168, No.1, January 2005)\u003c\/p\u003e \u003cp\u003e\"...systematically organised...an excellent reference...\" (\u003ci\u003eShort Book Review\u003c\/i\u003e, Vol.24, No.3 December 2004)\u003c\/p\u003e \u003cp\u003e\"...this book is strongly recommended...\" (Statistical \u003ci\u003eMethods in Medical Research\u003c\/i\u003e, Vol 14 2005)\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eStatistical Estimation of Epidemiological Risk\u003c\/i\u003e provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics.  \u003cp\u003eOther key features include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides comprehensive coverage of the key epidemiological indices.\u003c\/li\u003e \u003cli\u003eIncludes coverage of various sampling methods, and pointers to where each should be used.\u003c\/li\u003e \u003cli\u003eIncludes up-to-date references and recent developments in the field.\u003c\/li\u003e \u003cli\u003eFeatures many real examples, emphasising the practical nature of the book.\u003c\/li\u003e \u003cli\u003eEach chapter is self-contained, allowing the book to be used as a useful reference source.\u003c\/li\u003e \u003cli\u003eIncludes exercises, enabling use as a course text.\u003c\/li\u003e \u003c\/ul\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eAbout the author.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003ePreface.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Population Proportion or Prevalence.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Binomial sampling.\u003c\/p\u003e \u003cp\u003e1.2 Cluster sampling.\u003c\/p\u003e \u003cp\u003e1.3 Inverse sampling.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Risk Difference.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Independent binomial sampling.\u003c\/p\u003e \u003cp\u003e2.2 A series of independent binomial sampling procedures.\u003c\/p\u003e \u003cp\u003e2.2.1 Summary interval estimators.\u003c\/p\u003e \u003cp\u003e2.2.2 Test for the homogeneity of risk difference.\u003c\/p\u003e \u003cp\u003e2.3 Independent cluster sampling.\u003c\/p\u003e \u003cp\u003e2.4 Paired-sample data.\u003c\/p\u003e \u003cp\u003e2.5 Independent negative binomial sampling (inverse sampling).\u003c\/p\u003e \u003cp\u003e2.6 Independent poisson sampling.\u003c\/p\u003e \u003cp\u003e2.7 Stratified poisson sampling.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Relative Difference.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Independent binomial sampling.\u003c\/p\u003e \u003cp\u003e3.2 A series of independent binomial sampling procedures.\u003c\/p\u003e \u003cp\u003e3.2.1 Asymptotic interval estimators.\u003c\/p\u003e \u003cp\u003e3.2.2 Test for the homogeneity of relative difference.\u003c\/p\u003e \u003cp\u003e3.3 Independent cluster sampling.\u003c\/p\u003e \u003cp\u003e3.4 Paired-sample data.\u003c\/p\u003e \u003cp\u003e3.5 Independent inverse sampling.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Relative Risk.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Independent binomial sampling.\u003c\/p\u003e \u003cp\u003e4.2 A series of independent binomial sampling procedures.\u003c\/p\u003e \u003cp\u003e4.2.1 Asymptotic interval estimators.\u003c\/p\u003e \u003cp\u003e4.2.2 Test for the homogeneity of risk ratio.\u003c\/p\u003e \u003cp\u003e4.3 Independent cluster sampling.\u003c\/p\u003e \u003cp\u003e4.4 Paired-sample data.\u003c\/p\u003e \u003cp\u003e4.5 Independent inverse sampling.\u003c\/p\u003e \u003cp\u003e4.5.1 Uniformly minimum variance unbiased estimator of relative risk.\u003c\/p\u003e \u003cp\u003e4.5.2 Interval estimators of relative risk.\u003c\/p\u003e \u003cp\u003e4.6 Independent poisson sampling.\u003c\/p\u003e \u003cp\u003e4.7 Stratified poisson sampling.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Odds Ratio.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Independent binomial sampling.\u003c\/p\u003e \u003cp\u003e5.1.1 Asymptotic interval estimators.\u003c\/p\u003e \u003cp\u003e5.1.2 Exact confidence interval.\u003c\/p\u003e \u003cp\u003e5.2 A series of independent binomial sampling procedures.\u003c\/p\u003e \u003cp\u003e5.2.1 Asymptotic interval estimators.\u003c\/p\u003e \u003cp\u003e5.2.2 Exact confidence interval.\u003c\/p\u003e \u003cp\u003e5.2.3 Test for homogeneity of the odds ratio.\u003c\/p\u003e \u003cp\u003e5.3 Independent cluster sampling.\u003c\/p\u003e \u003cp\u003e5.4 One-to-one matched sampling.\u003c\/p\u003e \u003cp\u003e5.5 Logistic modeling.\u003c\/p\u003e \u003cp\u003e5.5.1 Estimation under multinomial or independent binomial sampling.\u003c\/p\u003e \u003cp\u003e5.5.2 Estimation in the case of paired-sample data.\u003c\/p\u003e \u003cp\u003e5.6 Independent inverse sampling.\u003c\/p\u003e \u003cp\u003e5.7 Negative multinomial sampling for paired-sample data.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Generalized Odds Ratio.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Independent multinomial sampling.\u003c\/p\u003e \u003cp\u003e6.2 Data with repeated measurements (or under cluster sampling).\u003c\/p\u003e \u003cp\u003e6.3 Paired-sample data.\u003c\/p\u003e \u003cp\u003e6.4 Mixed negative multinomial and multinomial sampling.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Attributable Risk.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Study designs with no confounders.\u003c\/p\u003e \u003cp\u003e7.1.1 Cross-sectional sampling.\u003c\/p\u003e \u003cp\u003e7.1.2 Case–control studies.\u003c\/p\u003e \u003cp\u003e7.2 Study designs with confounders.\u003c\/p\u003e \u003cp\u003e7.2.1 Cross-sectional sampling.\u003c\/p\u003e \u003cp\u003e7.2.2 Case–control studies.\u003c\/p\u003e \u003cp\u003e7.3 Case–control studies with matched pairs.\u003c\/p\u003e \u003cp\u003e7.4 Multiple levels of exposure in case–control studies.\u003c\/p\u003e \u003cp\u003e7.5 Logistic modeling in case–control studies.\u003c\/p\u003e \u003cp\u003e7.5.1 Logistic model containing only the exposure variables of interest.\u003c\/p\u003e \u003cp\u003e7.5.2 Logistic regression model containing both exposure and confounding variables.\u003c\/p\u003e \u003cp\u003e7.6 Case–control studies under inverse sampling.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Number Needed to Treat.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Independent binomial sampling.\u003c\/p\u003e \u003cp\u003e8.2 A series of independent binomial sampling procedures.\u003c\/p\u003e \u003cp\u003e8.3 Independent cluster sampling.\u003c\/p\u003e \u003cp\u003e8.4 Paired-sample data.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix Maximum Likelihood Estimator and Large-Sample Theory.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA.1: The maximum likelihood estimator, Wald’s test, the score test, and the asymptotic likelihood ratio test.\u003c\/p\u003e \u003cp\u003eA.2: The delta method and its applications.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAnswers to Selected Exercises.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand 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