Competing risks and the clinical community: irrelevance or ignorance?
MT Koller, H Raatz, EW Steyerberg… - Statistics in …, 2012 - Wiley Online Library
… risks methodology and the study aim, in particular the distinction between etiologic and
prognostic … curves based on the Kaplan–Meier estimator (‘naive Kaplan–Meier estimate’). Such …
prognostic … curves based on the Kaplan–Meier estimator (‘naive Kaplan–Meier estimate’). Such …
The prognostic value of electrocardiographic estimation of left ventricular hypertrophy in dialysis patients
… Survival analyses were performed with Kaplan-Meier methodology, with the survival period
… was only performed using the Novacode methodology. Four patterns were categorized: …
… was only performed using the Novacode methodology. Four patterns were categorized: …
U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19
JJ Näppi, T Uemura, C Watari, T Hironaka, T Kamiya… - Scientific reports, 2021 - nature.com
… an established traditional survival analysis methodology into the model … Meier survival
curves that show the survival probability estimates over time by use of the Kaplan–Meier estimator…
curves that show the survival probability estimates over time by use of the Kaplan–Meier estimator…
Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
S Matsui - BMC bioinformatics, 2006 - Springer
… We develop a methodology for predicting survival outcomes using subsets of significant …
-Meier estimates of survival for the two groups based on the prognostic index (the low prognostic …
-Meier estimates of survival for the two groups based on the prognostic index (the low prognostic …
Comparison of Cox's and Weibull Regression Models in Assessing the Prognostic Factors for Survival of Asthmatic Patients
ID Ezekiel, OL Aako - International Journal of …, 2018 - eprints.federalpolyilaro.edu.ng
… The rest of the paper is o section 2 presents relevant literature, s research methodology …
The Kaplan-Meier method can be used to estimate this curve from the observed survival times …
The Kaplan-Meier method can be used to estimate this curve from the observed survival times …
A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling
… whether these methodological choices led to models with the highest prognostic accuracy. …
Examples of Kaplan-Meier estimates of overall survival for patients of the validation cohort …
Examples of Kaplan-Meier estimates of overall survival for patients of the validation cohort …
Prediction of battery remaining useful life on board satellites using logical analysis of data
AM Ahmed, A Salama, HA Ibrahim… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
… We propose a reliability-based prognostic methodology that … We used the statistical Kaplan
Meier estimator for remaining … (LAD) to the Kaplan Meier estimator to improve the estimation’s …
Meier estimator for remaining … (LAD) to the Kaplan Meier estimator to improve the estimation’s …
Prognosis of patients with multifocal glioblastoma: a case-control study
CG Patil, A Yi, A Elramsisy, J Hu, D Mukherjee… - Journal of …, 2012 - thejns.org
… The prognosis of patients with glioblastoma who present … methodology. Radiation and
temozolomide treatments were also well matched between the 2 cohorts. Kaplan-Meier estimates …
temozolomide treatments were also well matched between the 2 cohorts. Kaplan-Meier estimates …
Prognostic factors for patients with small cell lung carcinoma: Analysis of a series of 763 patients included in 4 consecutive prospective trials with a minimum follow‐up …
M Paesmans, JP Sculier, J Lecomte, J Thiriaux… - Cancer, 2000 - Wiley Online Library
… The graphic representation of the Kaplan–Meier estimate is shown in Figure 1. For limited …
Two other prognostic classifications for SCLC based on RECPAM methodology already have …
Two other prognostic classifications for SCLC based on RECPAM methodology already have …
Cut-off estimation and medical decision making based on a continuous prognostic factor: the prediction of kidney graft failure
… where SKM (t|X>c) is the Kaplan-Meier estimator of the … Respectively, the estimator of the
specificity of a prognostic … The objective of these simulations was to validate our methodology in …
specificity of a prognostic … The objective of these simulations was to validate our methodology in …