The eye-opening and engrossing story of one woman’s battle with suicidal depression―and her firsthand investigative journey to document the obstacles three hundred million people with depression face
Covering the spectrum of cognitive decline in aging using illustrative cases, from mild impairment to dementia, this set of case studies offers a wide-ranging guide for trainees and clinicians. This second volume includes updated research diagnostic criteria and details of new imaging technology, including novel biomarkers such as PET amyloid and tau, to inform readers in clinical practice. Each case includes a clinical history, examination findings and special investigations, followed by diagnosis and discussion, to encourage clinical reasoning, integrative thinking, and problem-solving skills. To reinforce diagnostic skills, the cases include careful analysis of individual presenting patterns and up-to-date information on diagnostic classification and tools. The reader will be able to distinguish patients who need reassurance, closer follow-up or immediate referral to specialized services. With an international authorship, this book is for trainees and clinicians in neurology, psychi
This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinic
This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinic
