NITheCS & SU Seminar: ‘Tree-based Imputations in the Presence of Right-Censored Data for Machine Learning Applications’ – James Grove (SU)
📅 Fri, 13 March 2026
🕐 13h10 SAST
📍 Attend in person or online
buff.ly/DwJ3ZqT
#MachineLearning #StatisticalLearning #SurvivalAnalysis #DataImputation

AMP just published!
"Cox Regression in Survival Analysis: Practical Insights for Clinicians"

Full paper here:
actamedicaportuguesa.com/revista/inde...

#investigativetechniques #statisticalmodels #proportionalhazardsmodels #regressionalanalysis #survivalanalysis #actamedicaportuguesa

I started lecturing MPH students in September of 2025. To figure out how the information is landing, I run polls before and after the lecture. I'm pleased with how my survival analysis/time-to-event lecture landed #statistics #healthDataScience #survivalAnalysis #UofG #newLecturer #powerInData

Use OriginPro2026’s Warranty Analysis tool in Reliability and Survival Analysis app www.originlab.com/fileExchange... to evaluate product performance data and predict warranty claims and costs over time.
#originpro2026 #reliabilityanalysis #survivalanalysis #warrantyanalysis #originpro #originlab

Analyze arbitrary censored time-to-event data without making any distributional assumptions with OriginPro 2026's new Reliability and Survival Analysis app. Turnbull and Actuarial –>Survival and Failure plots
#SurvivalAnalysis #WeibullDistribution #ReliabilityAnalysis #FailureAnalysis #originpro2026

Want to use machine learning for censored (survival) data but can't find an appropriate method? Try reduction techniques that transform survival tasks to standard regression or classification tasks! #machinelearning #survivalanalysis

Analyze right-censored time-to-event data with OriginPro 2026’s Reliability and Survival Analysis app
#SurvivalAnalysis #WeibullDistribution #ReliabilityAnalysis #FailureAnalysis #TimetoEvent #CensoredData #HazardFunction #KaplanMeier #originpro2026 #originpro #originlab #datavisualization

Shall we count the living or the dead? In the 1958 paper "Shall we count the living or the dead?", Mindel C. Sheps proposed a principled solution to the familiar problem of asymmetry of the relative risk. We provide causal models to clarif...

#statstab #456 Shall we count the living or the dead?

Thoughts: survival ratio -> if the intervention increases risk of the outcome
risk ratio -> if the intervention reduces risk of the outcome

#causalinference #riskratios #survivalanalysis #estimand

arxiv.org/abs/2106.063...

Square root Cox's survival analysis by the fittest linear and neural
networks model
Maxime van Cutsem, Sylvain Sardy
Paper
Details
#SurvivalAnalysis #MachineLearning #CoxProportionalHazards

NCRM resource | Advanced Topics in Survival Analysis by Oliver Perra Survival analysis is a statistical approach used to investigate the occurrence and the timing of events. The specific nature and characteristics of the outcome of interest (whether and when an event

Now out, free for everyone, my resources on survival analysis (including Cox regression models) with practicals and solutions. Available at @ncrm.ac.uk #statistics #survivalanalysis #research #methodology www.ncrm.ac.uk/resources/on...

A Beginner-Friendly Guide to Kaplan Meier Survival Analysis in Clinical Research This guide explains Kaplan Meier survival analysis in clinical research in simple terms for beginners. It shows how to read survival curves, compare groups, and use the results in clinical studies.

A Beginner-Friendly Guide to Kaplan Meier Survival Analysis in Clinical Research

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#KaplanMeier #SurvivalAnalysis #ClinicalResearch #Biostatistics #MedicalResearch #DataAnalysis #ResearchMethods #HealthcareStudies #Epidemiology #StatisticalAnalysis

Survival Model Tackles Right‑Censored Reporting Delays

Researchers introduced a joint model for insurance claims that models event times and reporting delays, using an EM algorithm and a hazards workflow to cut bias in new policy cohorts. getnews.me/survival-model-tackles-r... #insurance #survivalanalysis

Survival Analysis Shows How LLMs Respond to Adversarial Drift

From 36,951 turns, abrupt prompt‑to‑prompt drift spikes failure risk while gradual drift cuts it; Failure Time models beat Cox and Random Survival Forests. Read more: getnews.me/survival-analysis-shows-... #llm #survivalanalysis

PISA AI Pipeline Delivers Interpretable Survival Analysis Models

PISA’s interpretable survival models matched or beat state‑of‑the‑art results on two clinical benchmark datasets; the paper was submitted September 2025. Read more: getnews.me/pisa-ai-pipeline-deliver... #pisa #survivalanalysis

C²MIL Boosts Causal Graph Learning for Survival Analysis

C²MIL improves survival analysis on histopathology whole‑slide images, outperforming MIL baselines on public datasets. The new dual‑causal model’s code is on GitHub. getnews.me/c2mil-boosts-causal-grap... #c2mil #survivalanalysis

AI-ECG Survival Models Beat Classifiers in Adult and Pediatric Cohorts

Deep survival AI‑ECG models reached median C‑indices of 0.83 (Brazil Code‑15), 0.78 (MIMIC‑IV) and 0.81 (Boston Children’s) in a Sept 12 2025 pre‑print. Read more: getnews.me/ai-ecg-survival-models-b... #aiecg #survivalanalysis #cindex

Clinical Trials in Clinical Research Clinical Trials are part of clinical research and at the heart of all medical advances. Clinical Trials look at new ways to prevent, detect, or treat diseases under study. Treatments might be new drugs or new combinations of drugs, new surgical procedures or devices, or new ways to use existing treatments. Goal of Clinical Trials Clinical Trials in Clinical Research: Definitions…

Clinical Trials are part of clinical research and at the heart of all medical advances. Clinical Trials look at new ways to prevent, detect, or treat diseases under study.
#biostatistics #clinicalresearch #survivalanalysis #dataanalysis #statisticsmcqs #learnbasicstatistics #itfeature #gmstat #rfaqs

CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Survival Analysis ALT: A moody expressionist painting showing a lone figure in dark clothing leaning against a wooden railing on a bridge, head bowed and shoulders hunched. Behind them two shadowy silhouettes walk away along the same railing. Beyond the bridge a churning, wave-like sea stretches to distant hills, and above it a fiery red and orange sky ripples with bands of yellow and green.

🧪🛟 CPH Focus: From Kaplan-Meier to Cox regression! Discover survival-curve secrets, proportional-hazards checkpoints, and prime your skills for the CPH exam:
buff.ly/zMmE0fz
#EpiSky #MedSky #Biostatistics #SurvivalAnalysis #Regression #TestPrep

Calling =TECHTO_SURVIVAL for Survival Analysis in Excel is just a matter of copying and pasting

`=TECHTO_SURVIVAL` in Excel is based on R and Python code from the [Techtonique](lnkd.in/e-xdqamJ) project's Survival Analysis functions

lnkd.in/eccXcBpj

#rstats #python #excel #survivalanalysis

Estimation of Survival with Parkinson's disease in the Canadian Longitudinal Study on Aging: An analysis using only current disease durations observed at baseline
McVittie, J., Postuma, R. B. et al.
Paper
Details
#ParkinsonsDisease #CanadianLongitudinalStudy #SurvivalAnalysis

How Long Would Humans Survive Once The Last Baby Is Born? Not as long as you'd think.

How Long Would Humans Survive Once The Last Baby Is Born? #Science #Biology #EvolutionaryBiology #HumanFuture #PopulationDynamics #SurvivalAnalysis

Which patient is going to survive longer? Another guide to using techtonique dot net's API (with R + Python + the command line) for survival analysis

thierrymoudiki.github.io/blog/2025/05...

#rstats #api #python #survivalanalysis

Esophageal Cancer Breakthrough: New Insights on Survival Prediction - LifeNextDaily 🚀⚡️💰 Can RFS & DFS truly predict overall survival in esophageal cancer? New research suggests it may be possible. #EsophagealCancer #CancerResearch #SurvivalAnalysis

LifeNextDaily News!
🚀⚡️💰 Can RFS & DFS truly predict overall survival in esophageal cancer? New research suggests it may be possible. #EsophagealCancer #CancerResearch #SurvivalAnalysis

Click here↓↓↓

Survival stacking: survival analysis translated as supervised classification in R and Python

thierrymoudiki.github.io/blog/2025/05...

#survivalanalysis #machinelearning #rstats #python

A Variance Estimator for Marginal Cox Regression Models Fit to Non‐Nested Multilevel Data In health services research, researchers often use clustered data to estimate the independent association between individual outcomes and cluster-level covariates after adjusting for individual-level...

onlinelibrary.wiley.com/doi/10.1002/...

Open access paper on a Variance Estimator for Marginal Cox Regression Models Fit to Non-Nested Multilevel or Clustered Data. #multilevel #statistics #clustereddata #survivalanalysis

[ #Webinar ] D-1 until our next webinar! ⤵️

💬 Landmarking 2.0: Bridging the gap between joint models and landmarking
(Joint work with Hans van Houwelingen)

🗣️ Hein Putter (Leiden University Medical Center)

💻 sesstim.univ-amu.fr/fr/content/w...

#JointModels #DynamicPrediction #SurvivalAnalysis

[ #Webinar ] D-7 until our next webinar! ⤵️

💬 Landmarking 2.0: Bridging the gap between joint models and landmarking
(Joint work with Hans van Houwelingen)

🗣️ Hein Putter (Leiden University Medical Center)

💻 univ-amu-fr.zoom.us/webinar/regi...

#JointModels #DynamicPrediction #SurvivalAnalysis

Key point: IEDs on routine EEG independently predict increased seizure risk in a cohort of 438 adults with established epilepsy, with a stronger effect in generalized epilepsies.
doi.org/10.1111/epi....

#epilepsy #ILAE #EEG #prognosis #seizurerecurrence #survivalanalysis

Moderate-to-Vigorous Physical Activity at any Dose Reduces All-Cause Dementia Risk Regardless of Frailty Status Reaching the moderate-to-vigorous physical activity (MVPA) recommendations of 150 min/wk is difficult for older adults, particularly among those living with frailty and its associated risk of dementia...

This new #survivalanalysis study finds that every extra 30 min of moderate-to-vigorous physical activity (#MVPA) per week cuts #dementia risk by 4%! 📉 Even small increases in movement help, with the biggest benefit for those previously inactive—0→35 min/wk = 41% lower risk! tinyurl.com/yc2vrpbh

The paper demonstrates how a survival path approach using time-series data provides superior accuracy for long-term prognosis compared to traditional static #machinelearning models.

#Hepatology #SurvivalAnalysis