Overview

This issue of Rheumatic Disease Clinics, guest edited by Dr. Sindhu Johnson, will cover Advances in Epidemiologic Methods to Study Rheumatic Diseases. This unique volume will discuss the following topics, among others: Minimal clinically important difference (MCID) for outcome measures, Alternative longitudinal study designs, Propensity score methods for observational data, Approaches to deal with missing data, Applied Bayesian Methods in Rheumatology, Qualitative methods, Similarity Network Fusion, Systematic reviews/meta-analysis and randomized trials, and Integrated analysis of data obtained in various reading campaigns of images.

Full Product Details

Author:   Sindhu Johnson, MD, PhD (University of Toronto, Toronto, Canada)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Volume:   44-2
Weight:   0.410kg
ISBN:  

9780323610506

ISBN 10:   0323610501
Publication Date:   26 September 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Advanced Epidemiologic Methods for the Study of Rheumatic Diseases - Table of Contents Foreword: The Brave New World of Rheumatic Disease Research Today Preface: Advanced Epidemiologic Methods for the Study of Rheumatic and Musculoskeletal Diseases Minimal Clinically Important Difference: A Review of Outcome Measure Score Interpretation Alternative Design and Analytical Techniques for Longitudinal Rheumatology Studies: Improved Understanding of Outcomes Propensity Score Methods for Bias Reduction in Observational Studies of Treatment Effect US National Health and Nutrition Examination Survey Arthritis Initiatives, Methodologies and Data Qualitative Methods to Advance Care, Diagnosis, and Therapy in Rheumatic Diseases Similarity Network Fusion: A Novel Application to Making Clinical Diagnoses Randomized Trials, Meta-Analyses, and Systematic Reviews: Using Examples from Rheumatology Big Data in Rheumatology: Intelligent Data Modeling Improves the Quality of Imaging Data Strategies for Dealing with Missing Accelerometer Data Use of Administrative Databases to Assess Reproductive Health Issues in Rheumatic Diseases Measuring Patient Preferences: An Overview of Methods with a Focus on Discrete Choice Experiments Cluster and Multiple Correspondence Analyses in Rheumatology: Paths to Uncovering Relationships in a Sea of Data Applied Bayesian Methods in the Rheumatic Diseases

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