Get through MCEM Part B

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ISBN 13 : 9781138422551
Total Pages : pages
Book Rating : 4.4/5 (225 download)

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Book Synopsis Get through MCEM Part B by :

Download or read book Get through MCEM Part B written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Get Through MCEM Part B: Data Interpretation Questions

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Publisher : CRC Press
ISBN 13 : 1853158771
Total Pages : 352 pages
Book Rating : 4.8/5 (531 download)

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Book Synopsis Get Through MCEM Part B: Data Interpretation Questions by : Matthew Hall

Download or read book Get Through MCEM Part B: Data Interpretation Questions written by Matthew Hall and published by CRC Press. This book was released on 2011-12-30 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Get Through

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Publisher :
ISBN 13 :
Total Pages : 352 pages
Book Rating : 4.:/5 (776 download)

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Book Synopsis Get Through by : MBBS Thenabadu (MRCP, DRCOG, DCH, Dip, Clin Ed, FCEM, Sam)

Download or read book Get Through written by MBBS Thenabadu (MRCP, DRCOG, DCH, Dip, Clin Ed, FCEM, Sam) and published by . This book was released on 2011 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Get Through MCEM Part B: Data Interpretation Questions

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Publisher : CRC Press
ISBN 13 : 1853158720
Total Pages : 354 pages
Book Rating : 4.8/5 (531 download)

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Book Synopsis Get Through MCEM Part B: Data Interpretation Questions by : Matthew Hall

Download or read book Get Through MCEM Part B: Data Interpretation Questions written by Matthew Hall and published by CRC Press. This book was released on 2011-12-30 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Get Through MCEM Part A: MCQs

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Publisher : CRC Press
ISBN 13 : 1853158046
Total Pages : 207 pages
Book Rating : 4.8/5 (531 download)

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Book Synopsis Get Through MCEM Part A: MCQs by : Diana Hulbert

Download or read book Get Through MCEM Part A: MCQs written by Diana Hulbert and published by CRC Press. This book was released on 2009-08-31 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Get Through MCEM Part A: MCQs

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Publisher : CRC Press
ISBN 13 : 9781853158094
Total Pages : 208 pages
Book Rating : 4.1/5 (58 download)

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Book Synopsis Get Through MCEM Part A: MCQs by : Diana Hulbert

Download or read book Get Through MCEM Part A: MCQs written by Diana Hulbert and published by CRC Press. This book was released on 2009-08-31 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Revision Notes for the FRCEM Intermediate SAQ Paper

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Publisher : Oxford University Press
ISBN 13 : 0191090522
Total Pages : 721 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Revision Notes for the FRCEM Intermediate SAQ Paper by : Ashis Banerjee

Download or read book Revision Notes for the FRCEM Intermediate SAQ Paper written by Ashis Banerjee and published by Oxford University Press. This book was released on 2017-08-25 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Clinical Data Interpretation for Medical Finals

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Publisher : John Wiley & Sons
ISBN 13 : 1118344707
Total Pages : 240 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Clinical Data Interpretation for Medical Finals by : Philip Pastides

Download or read book Clinical Data Interpretation for Medical Finals written by Philip Pastides and published by John Wiley & Sons. This book was released on 2012-04-03 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by senior clinicians across a range of specialties, Data Interpretation for Medical Finals: Single Best Answer Questions is the perfect way to prepare for data interpretation assessments and clinical practice. Featuring over 200 questions on key topics in medicine, each question is set around an image or investigation, such as an X-ray, CT scan, or blood film, and tests identification and interpretation of the data provided. Thorough explanation of the correct and incorrect answers helps you learn from mistakes. The questions reflect current exam question style and incorporate high quality images, many of which are annotated, and are presented in full colour throughout. Data Interpretation for Medical Finals will help build the confidence of all medical students, and Foundation Doctors, as it encourages application of investigation results to clinical decision making.

Mixed Effects Models for Complex Data

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Publisher : CRC Press
ISBN 13 : 9781420074086
Total Pages : 431 pages
Book Rating : 4.0/5 (74 download)

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Book Synopsis Mixed Effects Models for Complex Data by : Lang Wu

Download or read book Mixed Effects Models for Complex Data written by Lang Wu and published by CRC Press. This book was released on 2009-11-11 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introducing Monte Carlo Methods with R

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Publisher : Springer Science & Business Media
ISBN 13 : 1441915753
Total Pages : 297 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Introducing Monte Carlo Methods with R by : Christian Robert

Download or read book Introducing Monte Carlo Methods with R written by Christian Robert and published by Springer Science & Business Media. This book was released on 2010 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison.

An Introduction to Statistical Modeling of Extreme Values

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Publisher : Springer Science & Business Media
ISBN 13 : 1447136756
Total Pages : 219 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis An Introduction to Statistical Modeling of Extreme Values by : Stuart Coles

Download or read book An Introduction to Statistical Modeling of Extreme Values written by Stuart Coles and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with heuristics often replacing detailed mathematical proof. Most aspects of extreme modeling techniques are covered, including historical techniques (still widely used) and contemporary techniques based on point process models. A wide range of worked examples, using genuine datasets, illustrate the various modeling procedures and a concluding chapter provides a brief introduction to a number of more advanced topics, including Bayesian inference and spatial extremes. All the computations are carried out using S-PLUS, and the corresponding datasets and functions are available via the Internet for readers to recreate examples for themselves. An essential reference for students and researchers in statistics and disciplines such as engineering, finance and environmental science, this book will also appeal to practitioners looking for practical help in solving real problems. Stuart Coles is Reader in Statistics at the University of Bristol, UK, having previously lectured at the universities of Nottingham and Lancaster. In 1992 he was the first recipient of the Royal Statistical Society's research prize. He has published widely in the statistical literature, principally in the area of extreme value modeling.

Mastering Emergency Medicine

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Publisher : CRC Press
ISBN 13 : 1466583657
Total Pages : 505 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Mastering Emergency Medicine by : Chetan Trivedy

Download or read book Mastering Emergency Medicine written by Chetan Trivedy and published by CRC Press. This book was released on 2009-11-27 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Dissertation Abstracts International

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Publisher :
ISBN 13 :
Total Pages : 896 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2002 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Revision Notes for MCEM Part A

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Publisher : Oxford University Press, USA
ISBN 13 : 0199583838
Total Pages : 548 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis Revision Notes for MCEM Part A by : Mark Harrison

Download or read book Revision Notes for MCEM Part A written by Mark Harrison and published by Oxford University Press, USA. This book was released on 2011-03-31 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Methods for Handling Incomplete Data

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Publisher : CRC Press
ISBN 13 : 1000466299
Total Pages : 380 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Statistical Methods for Handling Incomplete Data by : Jae Kwang Kim

Download or read book Statistical Methods for Handling Incomplete Data written by Jae Kwang Kim and published by CRC Press. This book was released on 2021-11-19 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. Features Uses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data Integration Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.

Introduction to Natural Language Processing

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Publisher : MIT Press
ISBN 13 : 0262042843
Total Pages : 535 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Natural Language Processing by : Jacob Eisenstein

Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Representation Learning for Natural Language Processing

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Publisher : Springer Nature
ISBN 13 : 9811555737
Total Pages : 319 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.