De‐Mystifying the Clone‐Censor‐Weight Method for Causal Research Using Observational Data: A Primer for Cancer Researchers

The CCW method is a powerful tool for designing RWD studies in cancer that are free from time-related biases and successfully, to the extent possible, emulate features of a randomized clinical trial.

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Institutions

Publication Details

Journal
Cancer Medicine
Published
2024-12-01
DOI
https://doi.org/10.1002/cam4.70461
Citations
14
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
9.93

Funders

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article

De‐Mystifying the Clone‐Censor‐Weight Method for Causal Research Using Observational Data: A Primer for Cancer Researchers

Wei Du, Xabier García‐Albéniz, Charles Gaber, Camille Maringe et al.
14 citations
Cancer Medicine
Advanced Causal Inference Techniques
9.93
article

De‐Mystifying the Clone‐Censor‐Weight Method for Causal Research Using Observational Data: A Primer for Cancer Researchers

Wei Du, Xabier García‐Albéniz, Charles Gaber, Camille Maringe, Armen A. Ghazarian, Richard Wyss, Jennifer L. Lund, Tatiane Bomfim Ribeiro, Paula D. Strassle, Maribel Salas
article en
14 citations

Abstract

The CCW method is a powerful tool for designing RWD studies in cancer that are free from time-related biases and successfully, to the extent possible, emulate features of a randomized clinical trial.

Cancer MedicineVol. 13(23)
University of North Carolina at Chapel Hill (US), Brigham and Women's Hospital (US), National Institutes of Health (US), Harvard University (US), Universidade de São Paulo (BR), University of Illinois Chicago (US), London School of Hygiene & Tropical Medicine (GB), National Institute on Minority Health and Health Disparities (US), Daiichi Sankyo (United States) (US), Southeast University (CN), University of Pennsylvania (US)
U.S. Department of Health and Human Services, Hill's Pet Nutrition, International Society for Pharmacoepidemiology, National Institutes of Health, University of North Carolina at Chapel Hill, Medical Research Council, National Cancer Institute, National Institute on Minority Health and Health Disparities, NHLBI Division of Intramural Research
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Advanced Causal Inference Techniques
9.93
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