{"product_id":"statistical-methods-in-psychiatry-and-related-fields-9781498740760","title":"Statistical Methods in Psychiatry and Related","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eData collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations.Simple statistical methods do not work well with such data. More advanced statistical methods capture the data complexity better, but are difficult to apply appropriately and correctly by investigators who do not have advanced training in statistics.\u003c\/p\u003e \u003cp\u003eThis book presents, at a non-technical level, several approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and growth mixture models for heterogeneous trajectories over time. Separate chapters are devoted to techniques for multiple comparison correction, analysis in the presence of missing data, adjustment for covariates, assessment of mediator and moderator effects,\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"This is a comprehensive text describing a wide-range of statistical techniques, from basic to advanced, applicable to data generated from the field of Mental Health research. The field of Psychiatry is one of the very core subjects of Mental Health, along with Clinical Psychology and Psychiatric SocialWork. Hence, it is in fact an amalgamation of many cross linking fields of the social sciences. Therefore, coming out with a book that addresses various dimensions of science is a remarkable achievement. … [T]he book has three unique selling points – addressing the issues of the different natures of data in psychiatry, post hoc analyses and adjustments for multiple comparisons, and study design and sample size determination. … I very strongly advocate that researchers\/academics have this book with them or in their library.\"\u003cbr\u003e—Chandra Bhushan Tripathi, in \u003ci\u003eISCB News, \u003c\/i\u003eDecember 2018\u003c\/p\u003e\u003cp\u003e\"This book will reach a wide audience since it gives a non-technical and comprehensible introduction for non-experts to a complicated topic, with a series of worked-through examples, while at the same time it provides the applied statistician with thorough guidance to the analysis of longitudinal data, in the traditional normal distribution setting as well as for non-normal distributions (binary, Poisson etc.). It also contains insightful discussions on more advanced topics, with good references for further reading. The book stands out in the discussion on multiple testing, with good advice in a jungle of possibilities and in the handling of missing values (a comprehensible explanation of the problems and pitfalls, together with a sober guidance to avoiding such pitfalls in various circumstances). Also, the section on causality is probably the best I ever came across.The guidance and summary sections at the end of each chapter will serve as a reminder on the important hints for this particular topic. \u003cbr\u003eAn extremely nice addition to the book is the accompanying home pages with SAS programs for the various analyses performed. The combination of non-technical verbal explanations of the models, combined with the precise analysis provided by the code, makes the book very well suited for teaching as well as for self study.\"\u003cbr\u003e—\u003cb\u003eLene Theil Skovgaard\u003c\/b\u003e, Section of Biostatistics, University of Copenhagen\u003c\/p\u003e\u003cp\u003e\"This is an extremely useful book, especially for data analysts who want the \"nuts and bolts\" of conducting longitudinal and clustered data analysis. The logic and necessary steps are carefully laid out and explained in great detail. Also, there are several chapters that include material not often included in books on longitudinal data analysis, for example the treatment of trajectory and growth mixture models, mediator and moderator effects, study design and sample size considerations. The examples focus on psychiatric studies, so this book will be of most interest to researchers in psychiatry, psychology, and mental health. However, those in other fields can also gain a great deal by considering this book, which is exemplary in its thoroughness and clarity. Highly recommended for anyone wanting to learn about statistical methods for longitudinal and clustered data, and even the experts can learn a great deal by the careful treatment of these topics that Dr. Gueorguieva has provided.\"\u003cbr\u003e—\u003cb\u003eDonald Hedeker\u003c\/b\u003e, University of Chicago\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eIntroduction\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTraditional Methods for Analysis of Longitudinal and Clustered Data\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLinear Mixed Models for Longitudinal and Clustered Data\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLinear Models for Non-normal Outcomes\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNonparametric Methods for the Analysis of Repeatedly Measured Data\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePost-hoc Analysis and Adjustments for Multiple Comparisons\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHandling of Missing Data and Dropout in Longitudinal Studies\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eControlling for Covariates in Studies with Repeated Measures\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAssessment of Moderator and Mediator Effects\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMixture Models for Trajectory Analyses\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eStudy Design and Sample Size Calculations\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSummary and Further Readings\u003c\/strong\u003e\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":50578117984599,"sku":"9781498740760","price":92.14,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781498740760.jpg?v=1746097985","url":"https:\/\/bookcurl.com\/products\/statistical-methods-in-psychiatry-and-related-fields-9781498740760","provider":"Book Curl","version":"1.0","type":"link"}