ArticleComputers in biology and medicine2015
A leave-one-out cross-validation SAS macro for the identification of markers associated with survival.
Article in Computers in biology and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
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- Predicting no-shows at outpatient appointments in internal medicine using machine learning models.PeerJ. Computer science · 2025Article
- Identification of early risk factors for anti-citrullinated-protein-antibody positive rheumatoid arthritis-a prospective cohort study.Rheumatology (Oxford, England) · 2024Article
- C-reactive protein as robust laboratory value associated with prognosis in patients with stage III non-small cell lung cancer (NSCLC) treated with definitive radiochemotherapy.Scientific reports · 2024Article
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- A Mendelian randomization study of genetic liability to cutaneous melanoma and sunburns.Frontiers in oncology · 2024Article
- Genetically predicted the causal relationship between gut microbiota and infertility: bidirectional Mendelian randomization analysis in the framework of predictive, preventive, and personalized medicine.The EPMA journal · 2023Article
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- Baseline Predictors of Response to Repetitive Task Practice in Chronic Stroke.Neurorehabilitation and neural repair · 2022Article
- What factors contribute to the Scapular Assistance Test result? A classification and regression tree approach.PloS one · 2022Article
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- Tumor collagen framework from bright-field histology images predicts overall survival of breast carcinoma patients.Scientific reports · 2021Article
- Prediction of successful de-cannulation of tracheostomised patients in medical intensive care units.Respiratory research · 2021Observational
- Intratumoral Heterogeneity and Immune Response Indicators to Predict Overall Survival in a Retrospective Study of HER2-Borderline (IHC 2+) Breast Cancer Patients.Frontiers in oncology · 2021Article
- Biopsychosocial Aspects in Individuals with Acute and Chronic Rotator Cuff Related Shoulder Pain: Classification Based on a Decision Tree Analysis.Diagnostics (Basel, Switzerland) · 2020Article
- Immuno-Interface Score to Predict Outcome in Colorectal Cancer Independent of Microsatellite Instability Status.Cancers · 2020Article
- Classification of advanced and early stages of diabetic retinopathy from non-diabetic subjects by an ordinary least squares modeling method applied to OCTA images.Biomedical optics express · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
A proper internal validation is necessary for the development of a reliable and reproducible prognostic model for external validation. Variable selection is an important step for building prognostic models. However, not many existing approaches couple the ability to specify the number of covariates in the model with a cross-validation algorithm. We describe a user-friendly SAS macro that implements a score selection method and a leave-one-out cross-validation approach. We discuss the method and applications behind this algorithm, as well as details of the SAS macro.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.