Katherine Bowers
@kathbow19.bsky.social
Epidemiologist at Cincy Children's | Girls Lacrosse Coach at Walnut Hills HS | Passionate about Health, Science, Politics, and Staying Off X.
Reposted by Katherine Bowers
Extensive Propublica story about grant terminations
Sharing specifics and putting faces on the research…
Definitely worth a read
projects.propublica.org/nih-cuts-res...
Sharing specifics and putting faces on the research…
Definitely worth a read
projects.propublica.org/nih-cuts-res...
Shattered Science: The Research Lost as Trump Targets NIH Funding
The Trump administration cut research funding that sought cures for future pandemics, examined the causes of dementia and tried to prevent HIV transmission. More than 150 researchers shared with ProPu...
projects.propublica.org
June 13, 2025 at 7:34 AM
Extensive Propublica story about grant terminations
Sharing specifics and putting faces on the research…
Definitely worth a read
projects.propublica.org/nih-cuts-res...
Sharing specifics and putting faces on the research…
Definitely worth a read
projects.propublica.org/nih-cuts-res...
Reposted by Katherine Bowers
🚨: New publication « Data management and sharing » in @jclinepi.bsky.social with Claude Pellen, @synthymama.bsky.social, Anna Catharina Armond, Ulrich Mansmann, Maximilian Siebert. A 🧵.
January 23, 2025 at 8:22 PM
🚨: New publication « Data management and sharing » in @jclinepi.bsky.social with Claude Pellen, @synthymama.bsky.social, Anna Catharina Armond, Ulrich Mansmann, Maximilian Siebert. A 🧵.
Reposted by Katherine Bowers
Our work on immortal time bias "Illustrating the structures of bias from immortal time using directed acyclic graphs" led by Emma Guoyi Yang @yanggy_hku is out at International Journal of Epidemiology: doi.org/10.1093/ije/.... Brief thread:
Illustrating the structures of bias from immortal time using directed acyclic graphs
AbstractBackground. Immortal time is a period of follow-up during which death or the study outcome cannot occur by design. Bias from immortal time has been
doi.org
January 8, 2025 at 8:50 AM
Our work on immortal time bias "Illustrating the structures of bias from immortal time using directed acyclic graphs" led by Emma Guoyi Yang @yanggy_hku is out at International Journal of Epidemiology: doi.org/10.1093/ije/.... Brief thread:
Reposted by Katherine Bowers
1/
That "immortal time" is so frequent in survival analyses for #causalinference is fascinating.
Because "immortal time" doesn't exist in the data, *we* create it when misanalyzing the data.
Our new paper pubmed.ncbi.nlm.nih.gov/39494894/ summarizes why immortal time arises & how to prevent it.
That "immortal time" is so frequent in survival analyses for #causalinference is fascinating.
Because "immortal time" doesn't exist in the data, *we* create it when misanalyzing the data.
Our new paper pubmed.ncbi.nlm.nih.gov/39494894/ summarizes why immortal time arises & how to prevent it.
January 6, 2025 at 4:41 PM
1/
That "immortal time" is so frequent in survival analyses for #causalinference is fascinating.
Because "immortal time" doesn't exist in the data, *we* create it when misanalyzing the data.
Our new paper pubmed.ncbi.nlm.nih.gov/39494894/ summarizes why immortal time arises & how to prevent it.
That "immortal time" is so frequent in survival analyses for #causalinference is fascinating.
Because "immortal time" doesn't exist in the data, *we* create it when misanalyzing the data.
Our new paper pubmed.ncbi.nlm.nih.gov/39494894/ summarizes why immortal time arises & how to prevent it.