The sixth edition of this comprehensive yet concise Rosen & Barkin’s 5 Minute Emergency Medicine Consult pulls together up-to-date and evidence-based practice guidelines for easy use in a busy emergency department. In just two brief, bullet-friendly, clutter-free pages, you can quickly decipher the information you need to confirm your diagnosis, order tests, manage treatment and more!

This textbook provides an overview of pain management useful to specialists as well as non-specialists, surgeons, and nursing staff.

This is a compact, single-source guide to regional anesthesia. Chapters are authored by regional anesthesia fellowship directors and fellows to insure maximum practicality and up-to-date coverage. Essentials of Regional Anesthesia covers all anatomical regions as well as the unique considerations in patients with chronic pain, obstetric patients, pediatric patients, and patients treated in the outpatient setting. A common chapter format makes it easy to find information quickly, and extensive illustrations enhance the text. Stay current with Essentials of Regional Anesthesia, and stay ahead with these helpful features: • Ultrasound incorporated into each block • Extremely practical focus • More than 400 Q & As to test knowledge • Authored by regional anesthesia fellowship directors and fellows • Clinical pearls and guidance on complications • Concise, clinically oriented review of relevant basic science • Common chapter format for ease of use • Well illustrated with 350 figures, nearly 200 in color

The book provides a sound mathematical base for life insurance mathematics and applies the underlying concepts to concrete examples. Moreover the models presented make it possible to model life insurance policies by means of Markov chains. Two chapters covering ALM and abstract valuation concepts on the background of Solvency II complete this volume. Numerous examples and a parallel treatment of discrete and continuous approaches help the reader to implement the theory directly in practice.

Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review Recognise the scope, resources and challenges of IPD meta-analysis projects Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators Understand how to obtain, check, manage and harmonise IPD from multiple studies Examine risk of bias (quality) of IPD and minimise potential biases throughout the project Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research Critically appraise existing IPD meta-analysis projects Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout.