Literature DB >> 28992275

Cautionary note: propensity score matching does not account for bias due to censoring.

Bas B L Penning de Vries1, Rolf H H Groenwold1.   

Abstract

This article gives a review of the limitations of propensity score matching as a tool for confounding control in the presence of censoring. Using an illustrative simulation study, we emphasize the importance of explicit adjustment for selective loss to follow-up and explain how this may be achieved.

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Year:  2018        PMID: 28992275     DOI: 10.1093/ndt/gfx198

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  4 in total

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Journal:  Epidemiology       Date:  2022-04-05       Impact factor: 4.860

Review 2.  Interpretation and Impact of Real-World Clinical Data for the Practicing Clinician.

Authors:  Lawrence Blonde; Kamlesh Khunti; Stewart B Harris; Casey Meizinger; Neil S Skolnik
Journal:  Adv Ther       Date:  2018-10-24       Impact factor: 3.845

3.  Neutrophil-Lymphocyte Ratio (NLR) for Predicting Clinical Outcomes in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus: A Propensity Score Matching Analysis.

Authors:  Shang Qiao; Wen Gao; Shujun Guo
Journal:  Ther Clin Risk Manag       Date:  2020-05-19       Impact factor: 2.423

4.  Can Elderly Patients With Pancreatic Cancer Gain Survival Advantages Through More Radical Surgeries? A SEER-Based Analysis.

Authors:  Danna Xie; Baolin Qian; Jing Yang; Xinya Peng; Yinghua Li; Teng Hu; Simin Lu; Xiaojing Chen; Yunwei Han
Journal:  Front Oncol       Date:  2020-10-29       Impact factor: 6.244

  4 in total

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