Advanced Epidemiologic Methods for the Study of Rheumatic Diseases, An Issue of Rheumatic Disease Clinics of North Ameri
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...
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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.
Bibliographische Angaben
- Autor: Sindhu Johnson
- Verlag: ELSEVIER HEALTH SCIENCE
- EAN: 9780323610506
Inhaltsverzeichnis zu „Advanced Epidemiologic Methods for the Study of Rheumatic Diseases, An Issue of Rheumatic Disease Clinics of North Ameri “
Advanced Epidemiologic Methods for the Study of Rheumatic Diseases - Table of ContentsForeword: 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 OutcomesPropensity Score Methods for Bias Reduction in Observational Studies of Treatment EffectUS National Health and Nutrition Examination Survey Arthritis Initiatives, Methodologies and Data Qualitative Methods to Advance Care, Diagnosis, and Therapy in Rheumatic DiseasesSimilarity Network Fusion: A Novel Application to Making Clinical DiagnosesRandomized Trials, Meta-Analyses, and Systematic Reviews: Using Examplesfrom Rheumatology"BigData" in Rheumatology: Intelligent Data Modeling Improves the Quality of Imaging DataStrategies for Dealing with Missing Accelerometer DataUse of Administrative Databases to Assess Reproductive Health Issues in Rheumatic DiseasesMeasuring 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 DataApplied Bayesian Methods in the Rheumatic Diseases
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