Jack M Wolf @_jackmwolf
He/Him @PublicHealthUMN Biostatistics PhD Candidate @StOlaf Alumnus jackmwolf.rbind.io Joined August 2019-
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✨New #rstats package {tehtuner} fits interpretable models for the conditional average treatment effect while tuning parameters to control the false discovery rate✨ Now available on CRAN: cran.r-project.org/package=tehtun… #CausalInference #EffectHeterogeneity
Jack Wolf and colleagues address the thorny question of how to perform analyses to detect heterogeneous treatment effects in clinical trials while controlling false positives. @PublicHealthUMN @SCTorg @_jackmwolf @umnbiostat @JSKoopmeiners @docvock journals.sagepub.com/doi/pdf/10.117…
Back into the world of heterogeneous treatment effects with Jack Wolf, another Chalmers finalist #SCT2022
Huge congratulations to Liz of @lshsspeech for taking second place in Humorous Interpretation at our section tournament last night! It's been an honor to coach her with @NiemannDeserea and @marinalundell this season. We can't wait to cheer her on at @MSHSL state next Friday!
Huge congratulations to Liz of @lshsspeech for taking second place in Humorous Interpretation at our section tournament last night! It's been an honor to coach her with @NiemannDeserea and @marinalundell this season. We can't wait to cheer her on at @MSHSL state next Friday!
Williams Award Presentations Jack Wolf (Abstract 136), Using Summary Statistics to Evaluate Multiplicative Combinations of Initially Analyzed Phenotypes with a Flexible Choice of Covariates #IGES2021
I'm excited to announce the publication of my latest work on how we can leverage pre-computed summary statistics from large biobanks for the analysis of products and logical combinations of initially analyzed phenotypes in @FrontGenetics!
I'm excited to announce the publication of my latest work on how we can leverage pre-computed summary statistics from large biobanks for the analysis of products and logical combinations of initially analyzed phenotypes in @FrontGenetics!
Using summary statistics to evaluate the genetic architecture of multiplicative combinations of initially analyzed phenotypes with a ... biorxiv.org/cgi/content/sh… #biorxiv_genetic
The IGES communication January highlight paper is by @nathantintle and colleagues! This paper opens up new avenues for analyzing summary statistic data from biobanks using post-hoc covariate adjustment. Open Access: worldscientific.com/doi/abs/10.114…

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