Mastodawn

#statstab #543 How hazard ratios can mislead and why it matters in practice

Thoughts: Another *insert effect size measure* has issues paper. If you use HRs you better study up.

#observational #hazardratio #effectsize #misconceptions
#causalinference

https://link.springer.com/article/10.1007/s10654-025-01250-9

How hazard ratios can mislead and why it matters in practice - European Journal of Epidemiology

Hazard ratios are routinely reported as effect measures in clinical trials and observational studies. However, many methodological works have raised concerns about the interpretation of hazard ratios as causal effects. These concerns are often related to three points: (i) depletion of susceptible individuals leads to selection bias and complicates the causal interpretation of the hazard ratio, (ii) the hazard ratio is not collapsible, and (iii) the conventional proportional hazards assumption rarely holds in medical studies. We discuss the relation between these three points. We ground our presentation on an example about effect of endocrine therapy in reducing the risk of recurrence or death in a population of patients with breast cancer. We also describe why survival curves and risk differences do not exhibit any of the undesirable properties of hazard ratios.

SpringerLink

Dr Mircea Zloteanu 🌺🌞🍃May 7

#statstab #527 How to interpret “confidence intervals” in observational studies

Thoughts: A great example of a conversation that goes nowhere but is interesting to read

#debate #unhelpful #discussion #forum #confidenceintervals #observational #inference

https://discourse.datamethods.org/t/how-to-interpret-confidence-intervals-in-observational-studies/28318

How to interpret “confidence intervals” in observational studies

This question complements the one in the thread Random sampling versus random allocation/randomization- implications for p-value interpretation. Given that observational studies involve neither random sampling nor random allocation, why are they riddled with “95% confidence intervals”?

Datamethods Discussion Forum

Russell Grace Apr 11

Revisiting New Noise Every Morning from the catalog. A bass guitar and all the small indignities of being alive - the self-checkout, the Sunday dread, the body with opinions. Not tragic. Just Tuesday. #AlternativeRock #IndieRock #BassDriven #Observational #BritishMusic

https://soundcloud.com/russellagrace/new-noise-every-morning-15?utm_medium=api&utm_campaign=social_sharing&utm_source=id_263073

New Noise Every Morning

Sometimes a song earns its place not through drama but through recognition. New Noise Every Morning is a spotlight from the catalog - a track built on bass guitar and the kind of quiet, accumulating f

SoundCloud

IRAP Apr 10

[About the #Martian mantle ...] In a recent study, Ludovic Margerin, a CNRS researcher at IRAP, challenges the findings of a study published last year based on the analysis of data collected by the #SEIS seismometer aboard NASA’s #InSight lander.

According to this new study, the analysis of InSight’s seismological data—which concludes that the Martian mantle is highly #heterogeneous—may contain #observational and theoretical flaws: https://www.irap.omp.eu/en/2026/04/the-heterogeneity-of-the-martian-mantle-is-being-questioned/

Neal O’Carroll Apr 7

Video Shorts 218: Does Your DOG Cover for your SMOKING? Or vice versa?

Does Your DOG Cover for your SMOKING, or VICE VERSA? from Into Your Head #podcast - IntoYourHead.ie humour #observational # #dogs #smoking #cigars #dogslife

https://intoyourhead.ie/2026/04/08/video-shorts-218-does-your-dog-cover-for-your-smoking-or-vice-versa/