ArticleStatistics in medicine2020
Profiling dialysis facilities for adverse recurrent events.
Article in Statistics in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods.Biometrics · 2025Article
- Health Care Provider Clustering Using Fusion Penalty in Quasi-Likelihood.Biometrical journal. Biometrische Zeitschrift · 2024Article
- Limitations of the Inter-Unit Reliability: A Set of Practical Examples.Health services & outcomes research methodology · 2024Article
- COMPOSITE SCORES FOR TRANSPLANT CENTER EVALUATION: A NEW INDIVIDUALIZED EMPIRICAL NULL METHOD.The annals of applied statistics · 2024Article
- Healthcare center clustering for Cox's proportional hazards model by fusion penalty.Statistics in medicine · 2023Article
- Test-specific funnel plots for healthcare provider profiling leveraging individual- and summary-level information.Health services & outcomes research methodology · 2023Article
- High-Dimensional Fixed Effects Profiling Models and Applications in End-Stage Kidney Disease Patients: Current State and Future Directions.International journal of statistics in medical research · 2023Article
- Analysis of hospital readmissions with competing risks.Statistical methods in medical research · 2022Article
- MEASURING PERFORMANCE FOR END-OF-LIFE CARE.The annals of applied statistics · 2022Article
- Improving large-scale estimation and inference for profiling health care providers.Statistics in medicine · 2022Article
- Fixed Effects High-Dimensional Profiling Models in Low Information Context.International journal of statistics in medical research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Profiling analysis aims to evaluate health care providers, such as hospitals, nursing homes, or dialysis facilities, with respect to a patient outcome. Previous profiling methods have considered binary outcomes, such as 30-day hospital readmission or mortality. For the unique population of dialysis patients, regular blood works are required to evaluate effectiveness of treatment and avoid adverse events, including dialysis inadequacy, imbalance mineral levels, and anemia among others. For example, anemic events (when hemoglobin levels exceed normative range) are recurrent and common for patients on dialysis. Thus, we propose high-dimensional Poisson and negative binomial regression models for rate/count outcomes and introduce a standardized event ratio measure to compare the event rate at a specific facility relative to a chosen normative standard, typically defined as an "average" national rate across all facilities. Our proposed estimation and inference procedures overcome the challenge of high-dimensional parameters for thousands of dialysis facilities. Also, we investigate how overdispersion affects inference in the context of profiling analysis. The proposed methods are illustrated with profiling dialysis facilities for recurrent anemia events.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.