Kathleen E Hurwitz, Nuvan Rathnayaka, Kayla Hendrickson, M Alan Brookhart
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Propensity score methods for confounding control in observational studies of therapeutics for COVID-19 infection
Summary The authors provide a brief overview of different propensity score methods that can be used in observational research studies that lack randomization. Under specific assumptions, these methods result in unbiased estimates of causal effects, but the different ways propensity score are used may require different assumptions and result in estimated treatment effects that can have meaningfully different interpretations. The authors review these issues and consider their implications for studies of therapeutics for COVID-19.
期刊介绍:
Clinical Infectious Diseases (CID) is dedicated to publishing original research, reviews, guidelines, and perspectives with the potential to reshape clinical practice, providing clinicians with valuable insights for patient care. CID comprehensively addresses the clinical presentation, diagnosis, treatment, and prevention of a wide spectrum of infectious diseases. The journal places a high priority on the assessment of current and innovative treatments, microbiology, immunology, and policies, ensuring relevance to patient care in its commitment to advancing the field of infectious diseases.