Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19

L Jehi, X Ji, A Milinovich, S Erzurum, A Merlino… - PloS one, 2020 - journals.plos.org
Background Coronavirus Disease 2019 is a pandemic that is straining healthcare resources,
mainly hospital beds. Multiple risk factors of disease progression requiring hospitalization …

COVID-19 infection and hospitalization risk according to vaccination status and DMARD treatment in patients with rheumatoid arthritis

R Cordtz, S Kristensen, R Westermann, K Duch… - …, 2023 - academic.oup.com
Objectives The objectives of this study were to investigate the incidence of COVID-19
hospitalization in unvaccinated and vaccinated patients with RA compared with matched …

[HTML][HTML] Overview of model validation for survival regression model with competing risks using melanoma study data

Z Zhang, G Cortese, C Combescure… - Annals of …, 2018 - ncbi.nlm.nih.gov
The article introduces how to validate regression models in the analysis of competing risks.
The prediction accuracy of competing risks regression models can be assessed by …

Trends in clinical profiles, organ support use and outcomes of patients with cancer requiring unplanned ICU admission: a multicenter cohort study

FG Zampieri, TG Romano, JIF Salluh… - Intensive Care …, 2021 - Springer
Purpose To describe trends in outcomes of cancer patients with unplanned admissions to
intensive-care units (ICU) according to cancer type, organ support use, and performance …

On the estimation of average treatment effects with right‐censored time to event outcome and competing risks

BMH Ozenne, TH Scheike, L Stærk… - Biometrical …, 2020 - Wiley Online Library
We are interested in the estimation of average treatment effects based on right‐censored
data of an observational study. We focus on causal inference of differences between t‐year …

Modeling time‐to‐event (survival) data using classification tree analysis

A Linden, PR Yarnold - Journal of Evaluation in Clinical …, 2017 - Wiley Online Library
Rationale, aims, and objectives Time to the occurrence of an event is often studied in health
research. Survival analysis differs from other designs in that follow‐up times for individuals …

Plasma proteomic and polygenic profiling improve risk stratification and personalized screening for colorectal cancer

J Sun, Y Liu, J Zhao, B Lu, S Zhou, W Lu, J Wei… - Nature …, 2024 - nature.com
This study aims to identify colorectal cancer (CRC)-related proteomic profiles and develop a
prediction model for CRC onset by integrating proteomic profiles with genetic and non …

iCARE: An R package to build, validate and apply absolute risk models

P Pal Choudhury, P Maas, A Wilcox, W Wheeler… - PloS one, 2020 - journals.plos.org
This report describes an R package, called the Individualized Coherent Absolute Risk
Estimator (iCARE) tool, that allows researchers to build and evaluate models for absolute …

[图书][B] Absolute risk: methods and applications in clinical management and public health

RM Pfeiffer, MH Gail - 2017 - taylorfrancis.com
Absolute Risk: Methods and Applications in Clinical Management and Public Health
provides theory and examples to demonstrate the importance of absolute risk in counseling …

Comprehensive profiling of genomic and transcriptomic differences between risk groups of lung adenocarcinoma and lung squamous cell carcinoma

T Zengin, T Önal-Süzek - Journal of personalized medicine, 2021 - mdpi.com
Lung cancer is the second most frequently diagnosed cancer type and responsible for the
highest number of cancer deaths worldwide. Lung adenocarcinoma (LUAD) and lung …