#survivalanalysis
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originlab.bsky.social
Analyze arbitrary-censored time-to-event data with OriginPro2026b’s updated Reliability and Survival Analysis app. www.originlab.com/fileExchange....
#ArbitraryCensoring #CensoredData #SurvivalAnalysis #ReliabilityEngineering #LifetimeDataAnalysis #OriginPro #OriginPro2026b
August 31, 2026 at 2:16 PM
joachimschork.bsky.social
Kaplan-Meier curves estimate and visualize the probability of remaining event-free over time while accounting for censored observations.

More information in my latest Statistics Globe Hub module: statisticsglobe.com/hub

#statistics #datascience #RStats #SurvivalAnalysis #DataVisualization
August 24, 2026 at 7:34 AM
epigenomist.bsky.social
A glimpse from SCAPeSCLC: Bayesian CTA pathway activity linked with progression-free survival in extensive-stage small cell lung cancer.
📄 Data paper: doi.org/10.3390/data...
📦 Dataset: doi.org/10.5281/zeno...
#SCLC #CancerResearch #Bioinformatics #SurvivalAnalysis #OpenData #Bayesian #Biostatistics
Forest plot visualization of hazard ratios for selected CTA biological pathways using PFS limited to pathways demonstrating relatively narrow confidence interval widths (<1.0). Individual p-values, BH-adjusted FDRs and p-values associated with the Schoenfeld residuals test for PH assumption are shown on the right. Dots colored in red indicate p-values < 0.05.
August 8, 2026 at 2:47 PM
tipsterexpert.bsky.social
Modello Weibull per il Tempo del Primo Gol: Guida + Calcolatore #ValueBetting #SportsBetting #StatisticalModeling #NextGoal #BettingModels #DataDrivenBetting #QuantBetting #SurvivalAnalysis #FootballAnalytics #ScommesseSportive

tipsterexpert.it/modello-weib...
Modello Weibull per il Tempo del Primo Gol: Guida + Calcolatore
Come modellare il tempo del primo gol con la distribuzione di Weibull: teoria, stima dei parametri k e λ, esempio con edge reale e calcolatore next goal gratuito. Survival Analysis (Weibull): Mode…
tipsterexpert.it
July 31, 2026 at 11:56 PM
cascadiarconf.bsky.social
🎤 Speaker Spotlight: Simone Mendes

We're excited to welcome Simone Mendes to #CascadiaRConf 2026!

Simone will introduce Piece-wise Exponential Additive Mixed Models (PAMMs) to help transform complex data for advanced survival analysis.
#Biostatistics #rstats #DataScience #SurvivalAnalysis
June 24, 2026 at 2:02 PM
bits-bioinf.bsky.social
Not all survival models are created equal, and comparing them is not straightforward.
Giovanni Birolo at #BITS2026 presents SurvCraft, a framework to fairly compare approaches one piece at a time. Simpler methods can still compete.

#Bioinformatics #SurvivalAnalysis
May 29, 2026 at 8:19 AM
teeeeeeeee.bsky.social
Survival analysis with sklearn, glmnet, keras, pytorch, lightgbm, xgboost, nnetsauce, mlsauce Part 2

thierrymoudiki.github.io/blog/2026/04...

#python #survivalanalysis
April 28, 2026 at 5:08 PM
jrssa.bsky.social
🧬 Wang et al. extend the Cox model to incorporate external risk information across ancestries — with a compelling application to trans-ancestry polygenic hazard scores. #Genomics #SurvivalAnalysis → doi.org/10.1093/jrss... (2/10)
Incorporating external risk information with the Cox model under population heterogeneity: applications to trans-ancestry polygenic hazard scores
Abstract. Polygenic hazard scores (PHS) designed for European ancestry (EUR) individuals provide ample information regarding risk discrimination. Incorpora
doi.org
April 23, 2026 at 1:14 PM
itfeature.bsky.social
Survival analysis is a branch of statistics used to analyze the expected duration of time until one or more events happen, such as death in biological organisms or failure in mechanical systems.
#survfit #survdiff #coxph #survivalanalysis #dataanalysis #rprogramming #rlanguage #rquiz #learnRlanguage
Master Survival Analysis in R
In this post, we will learn about Survival Analysis in R. Survival analysis is a branch of statistics used to analyze the expected duration of time until one or more events happen, such as death in biological organisms or failure in mechanical systems. In R, the survival package is the gold standard for this analysis. Note that survival analysis includes several techniques that are used for modeling the time to an event.
rfaqs.com
April 10, 2026 at 6:48 PM
iam.slys.dev
Clinical AI claims are only as good as the grounds they’re tested on. SurvHTE-Bench brings well-constructed, diverse datasets—some with known answers, some from the messiness of life. Will it change the way we compare survival models?

ClinicalAI CausalInference SurvivalAnalysis HealthData
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
arxiv.org
March 31, 2026 at 2:16 PM
nithecs.bsky.social
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
March 10, 2026 at 11:29 AM
actamedport.bsky.social
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
February 13, 2026 at 10:15 AM
jocelynfriday.bsky.social
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
February 9, 2026 at 6:57 PM
originlab.bsky.social
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
February 6, 2026 at 1:38 PM
originlab.bsky.social
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
January 29, 2026 at 2:23 PM
adibender.bsky.social
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
statml-bot.bsky.social arXiv stat.ML Machine Learning @statml-bot.bsky.social · Aug 11
Johannes Piller, L\'ea Orsini, Simon Wiegrebe, John Zobolas, Lukas Burk, Sophie Hanna Langbein, Philip Studener, Markus Goeswein, Andreas Bender: Reduction Techniques for Survival Analysis https://arxiv.org/abs/2508.05715 https://arxiv.org/pdf/2508.05715 https://arxiv.org/html/2508.05715
January 21, 2026 at 1:17 PM
originlab.bsky.social
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
December 17, 2025 at 2:30 PM
mzloteanu.bsky.social
#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...
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...
arxiv.org
November 10, 2025 at 7:01 PM
arxivlens.bsky.social
Square root Cox's survival analysis by the fittest linear and neural
networks model
Maxime van Cutsem, Sylvain Sardy
Paper
Details
#SurvivalAnalysis #MachineLearning #CoxProportionalHazards
October 23, 2025 at 6:43 PM
oliverperra.bsky.social
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...
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
www.ncrm.ac.uk
October 21, 2025 at 12:52 PM
freddiesteward609.bsky.social
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
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.
www.fastassignmenthelp.com
October 8, 2025 at 11:45 AM
getnews-me.bsky.social
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. https://getnews.me/survival-model-tackles-right-censored-reporting-delays/ #insurance #survivalanalysis
Survival Model Tackles Right‑Censored Reporting Delays
October 8, 2025 at 9:04 AM
getnews-me.bsky.social
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: https://getnews.me/survival-analysis-shows-how-llms-respond-to-adversarial-drift/ #llm #survivalanalysis
Survival Analysis Shows How LLMs Respond to Adversarial Drift
October 6, 2025 at 7:15 AM
getnews-me.bsky.social
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: https://getnews.me/pisa-ai-pipeline-delivers-interpretable-survival-analysis-models/ #pisa #survivalanalysis
PISA AI Pipeline Delivers Interpretable Survival Analysis Models
October 1, 2025 at 4:38 AM
getnews-me.bsky.social
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. https://getnews.me/c2mil-boosts-causal-graph-learning-for-survival-analysis/ #c2mil #survivalanalysis
C²MIL Boosts Causal Graph Learning for Survival Analysis
September 26, 2025 at 8:20 PM