The only book dedicated to the College of Emergency Medicine's Membership examination, this book contains numerous questions and answers, together with data sets and clinical examples to help prepare candidates taking part B of this and other higher examinations in emergency medicine. All trainees wishing to pursue a career in Emergency Medicine have to have to pass the College of Emergency Medicine's own membership examination (MCEM) to enter training and pass the Fellowship examination (FCEM) to complete their Certificate of Specialist Training (CST). This book is a study guide which can be used in conjunction with standard emergency medicine texts. It follows the MCEM syllabus exactly and each chapter has three key parts: core facts which supplements revision for parts A and B, clinical scenarios, including data, which can be used to prepare for part B, and sample answers for questions. This book prepares candidates for examination success in part B, the data interpretation part of the MCEM examination. The authors are doctors all dedicated to the acute or emergency setting and who have collated extensive material to help in candidates' preparation for the MCEM examination. They have run a successful revision course for candidates taking the examination.

The only book dedicated to the College of Emergency Medicine's Membership examination, this book contains numerous questions and answers, together with data sets and clinical examples to help prepare candidates taking part B of this and other higher examinations in emergency medicine.All trainees wishing to pursue a career in Emergency Medicine hav

Designed for candidates preparing for the MCEM Part A exam, Get Through MCEM Part A: MCQs provides invaluable revision for this new exam, success in which is obligatory for entry into higher specialist training in Emergency Medicine. Over 400 practice questions are presented reflecting the format and content used in the actual exam. Useful revision

This is the only book that MCEM candidates will need to pass the MCEM Part B exam. This revision guide is framed around the most recent CEM syllabus, focusing on all the components of the exam. Each section of the book is tailored to match different elements of the syllabus, allowing candidates to revise efficiently and comprehensively. This concise revision tool is completely up-to-date, reflecting the latest developments in the examination. High quality artwork and a bullet-point style help candidates to absorb information quickly. It also includes over 35 short answer questions enabling candidates to gain invaluable exam practice. Exam tips are included throughout the book to help candidates improve their exam technique.

Designed for candidates preparing for the MCEM Part A exam, Get Through MCEM Part A: MCQs provides invaluable revision for this new exam, success in which is obligatory for entry into higher specialist training in Emergency Medicine. Over 400 practice questions are presented reflecting the format and content used in the actual exam. Useful revision tips and practical advice on the format of the exam, plus techniques for answering questions are provided to develop candidates' exam skills and build up confidence in readiness for the exam day. Three complete mock exams provide the ultimate last minute revision tool. All the answers are supported with detailed explanations to allow the candidate to assess and supplement their own level of knowledge, and target areas of weakness. Get Through MCEM Part A: MCQs is comprehensive and authoritative: all authors are practising emergency physicians. Featuring questions that specifically address all areas of the College of Emergency Medicine's curriculum, this is the essential revision book for all candidates preparing for the Part A exam. It also provides valuable revision for trainees sitting the FCEM exam and for medical students revising for clinical exams.

This is the only revision guide you will need to pass the FRCEM Intermediate examination. A new edition of the popular and successful Revision Notes for the MCEM Part B, this guide is mapped directly to the new FRCEM Intermediate syllabus. The book is tailored to match all areas on which you may be tested, allowing candidates to revise accurately and efficiently for this challenging exam. To ensure effective revision, information is presented in concise notes and bullet points with visually memorable tools, such as tables and diagrams. Each chapter contains high-quality example SAQs so candidates can practice their exam technique, and 'key points' and 'exam tips' boxes to highlight the most important information. Drawing on the authors' experience and expertise, Revision Notes for the FRCEM Intermediate SAQ paper is a trustworthy revision guide for this difficult and clinically focused examination, as well as a useful reference guide for practicing emergency medical doctors.

Mastering Emergency Medicine is a concise, revision-focused textbook that covers everything that candidates need to know in order to pass the College of Emergency Medicine's (CEM) membership examination (MCEM) to enter training, and to the pass fellowship examination (FCEM) to complete the Certificate of Specialist Training.With over 100 OSCE scena

A concise revision guide for one of the most difficult parts of the MCEM examination, covering the anatomy and basic sciences that will be tested in the Part A paper. Presented in note form, and with high quality explanatory diagrams, this book will equip candidates with the knowledge needed to pass the examination.

Fully revised and updated, the Oxford Handbook of Emergency Medicine is the definitive, best-selling guide for all of the common conditions that present to the emergency department. Whether you work in emergency medicine, or just want to be prepared, this book will be your essential guide. Following the latest clinical guidelines and evidence, written and reviewed by experts, this handbook will ensure you are up to date and have the confidence to deal with all emergency presentations, practices, and procedures. In line with the latest developments in the field, such as infection control, DNR orders, advanced directives and learning disability, the book also includes new sections specifically outlining patient advice and information, as well as new and revised vital information on paediatrics and psychiatry. For all junior doctors, specialist nurses, paramedics, clinical students, GPs and other allied health professionals, this rapid-reference handbook will become a vital companion for both study and practice.

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data. An overview of general models and methods, along with motivating examples After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values, measurement errors, censoring, and outliers. Self-contained coverage of specific topics Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models. Background material In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra. Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead to severely biased or misleading results. This book explores the biases that arise when naïve methods are used and shows which approaches should be used to achieve accurate results in longitudinal data analysis.