Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1103/physrevd.51.2138 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Competing risks regression for clustered data with covariate-dependent censoring.
Commun Stat Theory Methods
March 2024
Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, 53226, Wisconsin,USA.
Competing risks data in clinical trial or observational studies often suffer from cluster effects such as center effects and matched pairs design. The proportional subdistribution hazards (PSH) model is one of the most widely used methods for competing risks data analyses. However, the current literature on the PSH model for clustered competing risks data is limited to covariate-independent censoring and the unstratified model.
View Article and Find Full Text PDFAdjusted curves for clustered survival and competing risks data.
Commun Stat Simul Comput
August 2023
Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Observational studies with right-censored data often have clustered data due to matched pairs or a study center effect. In such data, there may be an imbalance in patient characteristics between treatment groups, where Kaplan-Meier curves or unadjusted cumulative incidence curves can be misleading and may not represent the average patient on a given treatment arm. Adjusted curves are desirable to appropriately display survival or cumulative incidence curves in this case.
View Article and Find Full Text PDFBackground: Tau-PET tracers have been used to diagnose and stage Alzheimer's disease. However, different tau tracers present distinct patterns of binding throughout the brain, challenging the harmonization of their results. We hypothesize that the choice of a reference region can impact the harmonization of the tau-PET standardized uptake value ratio (SUVR).
View Article and Find Full Text PDFBackground: A lesson of the recent progress in Alzheimer's Disease therapy is that biomarker-driven trials will be crucial to demonstrating efficacy in the clinic. Many studies have demonstrated the potential predictive power of fluid and imaging biomarkers in guiding patient selection and continued progress of precision medicine approaches will demand development of multi-dimensional biomarker arrays. However, correlations between candidate biomarkers change non-linearly with time, requiring methodologies to align biomarkers across a common disease timescale (time from amyloid positivity; TFAP).
View Article and Find Full Text PDFAlzheimer's Imaging Consortium.
Alzheimers Dement
December 2024
University of Pittsburgh, Pittsburgh, PA, USA.
Background: Tau-PET tracers have been used to diagnose and stage Alzheimer's disease. However, different tau tracers present distinct patterns of binding throughout the brain, challenging the harmonization of their results. We hypothesize that the choice of a reference region can impact the harmonization of the tau-PET standardized uptake value ratio (SUVR).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!