Titlebook: Understanding Evidence-Based Rheumatology; A Guide to Interpret Hasan Yazici,Yusuf Yazici,Emmanuel Lesaffre Book 2014 Springer Internationa

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Systematic Reviews and Meta-analyses in Rheumatology,nt modalities, after individual studies had come up with differing or inconclusive results; comparing the efficacy of certain drugs with few no or few or no head-to-head trials are at hand; or determining the efficacy over a specific and relatively uncommon end point. Similarly determining the perfo

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Ethical Issues in Study Design and Reporting,ic, forms of ethical transgression which we like to call pudendal. Our emphasis is about ethical issues of the more cerebral kind, not duly recognized by the public and even, on many occasions, by physicians as readers, reviewers or authors. We propose that the common denominator here is the urge to

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Book 2014 taking into account the merits and shortcomings of available data. .Understanding Evidence-Based Rheumatology.?offers a practical assessment of criteria, drugs, trials, and registries and provides useful tools for successfully interpreting this data. The book introduces readers to basic analysis of

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Outcome Measures in Rheumatoid Arthritis,e field in rheumatology is rheumatoid arthritis (RA). This chapter provides an overview of RA outcome measures that are commonly used in clinical trials and observational studies. It includes a brief description and scoring of each of the outcome measures and their strengths and weaknesses.

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The Randomized Controlled Trial: Methodological Perspectives,dy size, the use of the intention-to-treat and per-protocol analysis sets, etc. In addition, and importantly, we introduce the Bayesian approach to clinical trials. We indicate how the choices impact the statistical techniques. The advantages and disadvantages of RCTs compared with observational studies are briefly discussed.

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A Review of Statistical Approaches for the Analysis of Data in Rheumatology, of new statistical techniques, it is not realistic to give a comprehensive review. For the technical aspects of the statistical techniques, we refer the reader to other sources. The methods will be illustrated using rheumatoid arthritis data sets.

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Issues in Setting Up a Study and Data Collection,dy objectives, characteristics of the main exposure(s) and outcome(s) of interest, potential confounders and/or effect modifiers, and the study setting, whether it involves special data collection procedures, such as biospecimens or patient-reported outcomes, feasibility issues, and financial restrictions.

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