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Clinical Update in Research Methods for the General Internist 2021

Generalists must stay abreast of novel research methods to understand, generate, and utilize the most important research findings and to provide the highest quality of care to patients. Being well-informed of cutting-edge research methods allows generalist researchers to conduct innovative and influential research and to critically appraise research methods to select the most appropriate methods to answer a research question. Innovation and methodologic rigor are also major criteria for successful NIH and foundation research grant applications. Thus, it is imperative for generalist researchers to stay current on innovative research methods to remain competitive in a challenging funding milieu.

This Update in Research Methods for the Generalist, the Research Committee critically reviews and presents six of the most important peer-reviewed papers published in the past two years that have applied novel methods in studies of interest to generalists. In the setting of COVID-19 and rapidly changing landscape of healthcare access, utilization, and delivery, we will highlight at least one publication that features novel methods to rigorously study COVID-19 prevention, disparities and outcomes. In our poll of generalist researchers, we also identified the following research methods of high interest: machine learning, natural language processing, adaptive trial design, estimating uncertainty, social network analysis, and latent class analysis. 

CEU Available: 1.0 CME; 1.0 MOC
CEU Expires:  April 30, 2022

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