Hasan Yazici, MD, Professor of MedicineIstanbul University, Istanbul, Turkey Yusuf Yazici, MD, Assistant Professor of MedicineNew York University School of Medicine, New York, NY, USAEmmanuel Lesaffre, PhDDepartment of Biostatistics, Erasmus MC, Rotterdam, the Netherlands and L-Biostat, K.U.LeuvenLeuven, Belgium.

From the book reviews: "This book details how to correctly use and interpret evidence-based medicine in the practice of rheumatology. ... The book is written for rheumatologists, rheumatology fellows, and other physicians who take care of patients with rheumatic diseases. The authors are rheumatologists. ... This book focuses on an essential topic for every physician assessing and treating patients with rheumatological disease." (Maryam Pourpaki, Doody's Book Reviews, January, 2015)

• 1. Evidence in Rheumatology: How Does It Differ from Other Diseases?.- 2. A Review of Statistical Approaches for the Analysis of Data in Rheumatology.- 3. Disease Classification/Diagnosis Criteria.- 4. Biomarkers, Genetic Association and Genomic Studies.- 5. Outcome Measures in Rheumatoid Arthritis.- 6. Issues in Setting Up a Study and Data Collection.- 7. The Randomized Controlled Trial: Methodological Perspectives.- 8. Limitations of Traditional Randomized Controlled Clinical Trials in Rheumatology.- 9. Methodological Issues Relevant to Observational Studies, Registries and Administrative Health Databases in Rheumatology.- 10. Systematic Reviews and Meta-analyses in Rheumatology.- 11. Ethical Issues in Study Design and Reporting.- 12. Future Directions.

Hasan Yazici, MD, Professor of MedicineIstanbul University, Istanbul, Turkey Yusuf Yazici, MD, Assistant Professor of MedicineNew York University School of Medicine, New York, NY, USAEmmanuel Lesaffre, PhDDepartment of Biostatistics, Erasmus MC, Rotterdam, the Netherlands and L-Biostat, K.U.LeuvenLeuven, Belgium.

From the book reviews: "This book details how to correctly use and interpret evidence-based medicine in the practice of rheumatology. ... The book is written for rheumatologists, rheumatology fellows, and other physicians who take care of patients with rheumatic diseases. The authors are rheumatologists. ... This book focuses on an essential topic for every physician assessing and treating patients with rheumatological disease." (Maryam Pourpaki, Doody's Book Reviews, January, 2015)

• 1. Evidence in Rheumatology: How Does It Differ from Other Diseases?.- 2. A Review of Statistical Approaches for the Analysis of Data in Rheumatology.- 3. Disease Classification/Diagnosis Criteria.- 4. Biomarkers, Genetic Association and Genomic Studies.- 5. Outcome Measures in Rheumatoid Arthritis.- 6. Issues in Setting Up a Study and Data Collection.- 7. The Randomized Controlled Trial: Methodological Perspectives.- 8. Limitations of Traditional Randomized Controlled Clinical Trials in Rheumatology.- 9. Methodological Issues Relevant to Observational Studies, Registries and Administrative Health Databases in Rheumatology.- 10. Systematic Reviews and Meta-analyses in Rheumatology.- 11. Ethical Issues in Study Design and Reporting.- 12. Future Directions.

Hasan Yazici, MD, Professor of MedicineIstanbul University, Istanbul, Turkey Yusuf Yazici, MD, Assistant Professor of MedicineNew York University School of Medicine, New York, NY, USAEmmanuel Lesaffre, PhDDepartment of Biostatistics, Erasmus MC, Rotterdam, the Netherlands and L-Biostat, K.U.LeuvenLeuven, Belgium.

From the book reviews: "This book details how to correctly use and interpret evidence-based medicine in the practice of rheumatology. ... The book is written for rheumatologists, rheumatology fellows, and other physicians who take care of patients with rheumatic diseases. The authors are rheumatologists. ... This book focuses on an essential topic for every physician assessing and treating patients with rheumatological disease." (Maryam Pourpaki, Doody's Book Reviews, January, 2015)

• 1. Evidence in Rheumatology: How Does It Differ from Other Diseases?.- 2. A Review of Statistical Approaches for the Analysis of Data in Rheumatology.- 3. Disease Classification/Diagnosis Criteria.- 4. Biomarkers, Genetic Association and Genomic Studies.- 5. Outcome Measures in Rheumatoid Arthritis.- 6. Issues in Setting Up a Study and Data Collection.- 7. The Randomized Controlled Trial: Methodological Perspectives.- 8. Limitations of Traditional Randomized Controlled Clinical Trials in Rheumatology.- 9. Methodological Issues Relevant to Observational Studies, Registries and Administrative Health Databases in Rheumatology.- 10. Systematic Reviews and Meta-analyses in Rheumatology.- 11. Ethical Issues in Study Design and Reporting.- 12. Future Directions.