Evaluation of the use of cancer registry data for comparative effectiveness research
Importance Researchers often analyze cancer registry data to assess for differences in
survival among cancer treatments. However, the retrospective, nonrandomized design of …
survival among cancer treatments. However, the retrospective, nonrandomized design of …
Artificial intelligence-based personalized clinical decision-making for patients with localized prostate cancer: surgery versus radiotherapy
Y Liu, L Zhao, J Liu, L Wang - The Oncologist, 2024 - academic.oup.com
Background Surgery and radiotherapy are primary nonconservative treatments for prostate
cancer (PCa). However, personalizing treatment options between these treatment modalities …
cancer (PCa). However, personalizing treatment options between these treatment modalities …
Adaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer
Background An electronic health record–based tool could improve accuracy and eliminate
bias in provider estimation of the risk of death from other causes among men with …
bias in provider estimation of the risk of death from other causes among men with …
Development and validation of an interpretable artificial intelligence model to predict 10-year prostate cancer mortality
Simple Summary This article presents a gradient-boosted model that can predict 10-year
prostate cancer mortality with high accuracy. The model was developed and validated on …
prostate cancer mortality with high accuracy. The model was developed and validated on …
Treatment effect estimation under additive hazards models with high-dimensional confounding
Estimating treatment effects for survival outcomes in the high-dimensional setting is critical
for many biomedical applications and any application with censored observations. This …
for many biomedical applications and any application with censored observations. This …
Development and validation of a life expectancy calculator for US patients with prostate cancer
Objective To develop and validate an accurate, usable prediction model for other‐cause
mortality (OCM) in patients with prostate cancer diagnosed in the United States. Materials …
mortality (OCM) in patients with prostate cancer diagnosed in the United States. Materials …
Validity of claims data for identifying cancer incidence in the Japan public health center‐based prospective study for the next generation
H Ihira, A Goto, K Yamagishi, H Iso… - … and Drug Safety, 2022 - Wiley Online Library
Purpose This study determined the validity of claims‐based definitions for identifying the
incidence of total and site‐specific cancers in a population‐based cohort study. Methods …
incidence of total and site‐specific cancers in a population‐based cohort study. Methods …
Using health insurance claims data to assess long‐term disease progression in a prostate cancer cohort
S Khan, S Vohra, L Farnan, SNC Elmore… - The …, 2022 - Wiley Online Library
Background Long‐term population‐based cohort studies of men diagnosed with prostate
cancer are limited. However, adverse outcomes can occur many years after treatment …
cancer are limited. However, adverse outcomes can occur many years after treatment …
Inference under fine-gray competing risks model with high-dimensional covariates
The purpose of this paper is to construct confidence intervals for the regression coefficients
in the Fine-Gray model for competing risks data with random censoring, where the number …
in the Fine-Gray model for competing risks data with random censoring, where the number …
[책][B] Survival analysis and causal inference: from marginal structural cox to additive hazards model and beyond
D Rava - 2021 - search.proquest.com
In chapter 1 we study explained variation under the additive hazards regression model for
right-censored data. We consider different approaches for develo** such a measure, and …
right-censored data. We consider different approaches for develo** such a measure, and …