Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1023/a:1023679921536 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Bayesian Spatial Relative Survival Model to Estimate the Loss in Life Expectancy and Crude Probability of Death for Cancer Patients.
Stat Med
February 2025
School of Mathematical Science, Queensland University of Technology, Brisbane, Australia.
To date, there have not been any population-based cancer studies quantifying geographical patterns of the loss in life expectancy (LLE) and crude probability of death due to cancer ( ). These absolute measures of survival are complementary to the more typically used relative measures of excess mortality and relative survival, and, together, they provide a fuller understanding of geographical disparities in survival outcomes for cancer patients. We propose using a spatially flexible parametric relative survival model in the Bayesian framework, which allows for the inclusion of spatial effects in hazard-level model components.
View Article and Find Full Text PDFReference-Based Multiple Imputation for Longitudinal Binary Data.
Stat Med
February 2025
MRC Clinical Trials Unit at UCL, University College London, London, UK.
Introduction: In clinical trials, a treatment policy strategy is often used to handle treatment nonadherence. However, estimation in this context is complicated when data are missing after treatment deviation. Reference-based multiple imputation has been developed for the analysis of a longitudinal continuous outcome in this setting.
View Article and Find Full Text PDFBetween- and Within-Cluster Spearman Rank Correlations.
Stat Med
February 2025
Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA.
Clustered data are common in practice. Clustering arises when subjects are measured repeatedly, or subjects are nested in groups (e.g.
View Article and Find Full Text PDFOn Inclusion of Covariates in Model Based Dose Finding Clinical Trial Designs.
Stat Med
February 2025
MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
There is a growing number of Phase I dose-finding studies that use a model-based approach, such as the CRM or the EWOC method to estimate the dose-toxicity relationship. It is common to assume that all patients will have similar toxicity risk given the dose regardless of patients' individual characteristics. In many trials, however, some patients' covariates (e.
View Article and Find Full Text PDFAllocation Predictability of Individual Assignments in Restricted Randomization Designs for Two-Arm Equal Allocation Trials.
Stat Med
February 2025
Medical University of South Carolina, Charleston, South Carolina, USA.
This manuscript derives the allocation predictability measured by the correct guess probability and the probability of being deterministic for individual treatment assignments, as well as the averages of a randomization sequence, based on the treatment imbalance transition matrix and the conditional allocation probability. The methods described are applicable to restricted randomization designs that satisfy the following criteria: (1) two-arm equal allocation, (2) restriction of maximum tolerated imbalance, and (3) conditional allocation probability fully determined by the observed current treatment imbalance. Analytical results indicate that, for two-arm equal allocation trials, allocation predictability alternates by the odd/even sequence order of the treatment assignment.
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!