Clinical Research Essentials in Dermatology

This handy guide to Clinical Research in Dermatology is meant for newcomers to dermatological research and presents clinical research methods in a clear, straightforward manner, including both well-established and new approaches, such as Mendelian Randomization and Big Data analysis, with several examples from the Dermatologic field. Starting by considering the probabilistic approach to clinical medicine, the content then investigates research questions and the array of methods used to address them: disease definition, disease frequency and relevance, disease causation and risk factors, efficacy and safety of interventions, disease impact and qualitative research, summarization of results from multiple studies, and meta-analysis. Specific parts on writing and publishing one’s research, as well as on Evidence-Based Dermatology cover key topics for the young dermatologist. The role of artificial intelligence in managing big data and the use of genetic variants to assess causation is also covered, as well as a concluding chapter with considerations of future challenges. Written by renowned experts in a clear, easy-to-read style, Clinical Research Essentials in Dermatology: From Disease Definition to Meta-Analysis will prove a valued companion for young researchers and dermatologists in their daily clinical practice.