High-dimensional survival analysis: Methods and applications

S Salerno, Y Li - Annual review of statistics and its application, 2023 - annualreviews.org
In the era of precision medicine, time-to-event outcomes such as time to death or
progression are routinely collected, along with high-throughput covariates. These high …

Pancreatic stereotactic body radiation therapy with or without hypofractionated elective nodal irradiation

JA Miller, DAS Toesca, JRM Baclay, LK Vitzthum… - International Journal of …, 2022 - Elsevier
Purpose Pancreatic stereotactic body radiation therapy (SBRT) is limited to gross tumor
without elective coverage for subclinical disease. Given a better understanding of …

Stratifying risk for dementia onset using large-scale electronic health record data: a retrospective cohort study

TH McCoy Jr, L Han, AM Pellegrini, RE Tanzi… - Alzheimer's & …, 2019 - Elsevier
Introduction Preventing dementia, or modifying disease course, requires identification of
presymptomatic or minimally symptomatic high-risk individuals. Methods We used …

Impact of morbid obesity on liver transplant candidacy and outcomes: national and regional trends

N Kaur, J Emamaullee, T Lian, M Lo, P Ender… - …, 2021 - journals.lww.com
Background. Body mass index (BMI) limits for liver transplant (LT) candidacy are
controversial. In this study, we evaluate waitlist and post-LT outcomes, and prognostic …

Predicting cardiovascular events after sepsis with death as a competing risk

LC Myers, D Knox, KK Thai, P Kipnis… - Annals of the …, 2023 - atsjournals.org
Methods We used a previously described cohort of adult patients, 40 or more years old,
hospitalized with sepsis (using Sepsis-3 definition)(10) between 2011 and 2017 in KPNC …

Regularized Weighted Nonparametric Likelihood Approach for High‐Dimension Sparse Subdistribution Hazards Model for Competing Risk Data

L Tapak, MR Kosorok, M Sadeghifar… - … Methods in Medicine, 2021 - Wiley Online Library
Variable selection and penalized regression models in high‐dimension settings have
become an increasingly important topic in many disciplines. For instance, omics data are …

Disparities in clinical trial enrollment at a Canadian comprehensive cancer center: A 15‐year retrospective study

GK Shapiro, AT Santiago, T Pittman, K Iwano… - Cancer, 2024 - Wiley Online Library
Introduction Disparities in clinical trials (CTs) enrollment perpetuate inequities in treatment
access and outcomes, but there is a paucity of Canadian data. The objective of this study …

Novel Deep Learning Approaches for Semi-Competing Risk Prediction

S Salerno - 2023 - deepblue.lib.umich.edu
In the era of precision medicine, time-to-event outcomes such as time to death or disease
progression are routinely collected, along with high-throughput covariates which defy …

[PDF][PDF] A Deep Learning Instance Segmentation Approach for Lane Marking Detection

A Al Mamun, E Poh Ping… - International Journal Of …, 2021 - researchgate.net
Nowadays, many advanced automotive features have been incorporated in Advanced
Driver Assistance Systems (ADAS). Lane Marking Detection (LMD) is one of the most …

Modelagem conjunta para dados longitudinais e sobrevivência na presença de riscos competitivos

RS Silva - 2023 - teses.usp.br
Em muitos estudos na área médica, o principal interesse está no tempo de vida de
pacientes com alguma doença. Como exemplo, tem-se o estudo ERICO (Estratégia do …