Related Experiment Video
Updated: Mar 3, 2026
06:55
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
15.4K
Racial Differences in Comorbidities and Mortality in US Patients with Bullous Pemphigoid: A Propensity Matched Cohort
Philip Curman1, Christian F Guerrero-Juarez2, Yulu Wang3
1Department of Medical Epidemiology and Biostatistics, and Dermatology and Venereology Division, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden; Dermato-Venereology Clinic, Karolinska University Hospital, Stockholm, Sweden; Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany.
Journal of the American Academy of Dermatology
|March 1, 2026
Abstract
No abstract available in PubMed .
Related Concept Videos
01:20Comparing the Survival Analysis of Two or More Groups
674
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
674
01:29Bias in Epidemiological Studies
1.5K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.5K