Get Through MCEM Part B: Data Interpretation Questions

Get Through MCEM Part B: Data Interpretation Questions PDF Author: Matthew Hall
Publisher: CRC Press
ISBN: 1853158771
Category : Medical
Languages : en
Pages : 352

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Book Description
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 MCEM Part B: Data Interpretation Questions

Get Through MCEM Part B: Data Interpretation Questions PDF Author: Matthew Hall
Publisher: CRC Press
ISBN: 1853158771
Category : Medical
Languages : en
Pages : 352

Get Book Here

Book Description
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 MCEM Part B

Get through MCEM Part B PDF Author:
Publisher:
ISBN: 9781138422551
Category :
Languages : en
Pages :

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Book Description


Revision Notes for the FRCEM Intermediate SAQ Paper

Revision Notes for the FRCEM Intermediate SAQ Paper PDF Author: Ashis Banerjee
Publisher: Oxford University Press
ISBN: 0191090522
Category : Medical
Languages : en
Pages : 721

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Book Description
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.

Get Through MRCPsych CASC

Get Through MRCPsych CASC PDF Author: Melvyn Zhang Weibin
Publisher: CRC Press
ISBN: 1315354284
Category : Medical
Languages : en
Pages : 484

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Book Description
This book is intended for psychiatric trainees sitting the CASC component of the MRCPsych exam. Written by authors with recent exam experience and long-term expertise in the field, the text provides 175 stations closely matched to the subjects that appear in the actual exam, along with concise synopses and guidelines for how to target your revision to enable recall of the most relevant information.

A Failure of Initiative

A Failure of Initiative PDF Author: United States. Congress. House. Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricane Katrina
Publisher:
ISBN:
Category : Disaster relief
Languages : en
Pages : 588

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Book Description


An Introduction to Statistical Modeling of Extreme Values

An Introduction to Statistical Modeling of Extreme Values PDF Author: Stuart Coles
Publisher: Springer Science & Business Media
ISBN: 1447136756
Category : Mathematics
Languages : en
Pages : 219

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Book Description
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

Mastering Emergency Medicine PDF Author: Chetan Trivedy
Publisher: CRC Press
ISBN: 1466583657
Category : Medical
Languages : en
Pages : 505

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Book Description
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

Introduction to Natural Language Processing

Introduction to Natural Language Processing PDF Author: Jacob Eisenstein
Publisher: MIT Press
ISBN: 0262354578
Category : Computers
Languages : en
Pages : 536

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Book Description
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.

Statistical Methods for Handling Incomplete Data

Statistical Methods for Handling Incomplete Data PDF Author: Jae Kwang Kim
Publisher: CRC Press
ISBN: 1000466299
Category : Mathematics
Languages : en
Pages : 380

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Book Description
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.

Revision Notes for MCEM Part A

Revision Notes for MCEM Part A PDF Author: Mark Harrison
Publisher: Oxford University Press, USA
ISBN: 0199583838
Category : Medical
Languages : en
Pages : 548

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Book Description
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.