Zobrazeno 1 - 10
of 8 758
pro vyhledávání: '"Estimands"'
Autor:
Phillippo, David M., Remiro-Azócar, Antonio, Heath, Anna, Baio, Gianluca, Dias, Sofia, Ades, A. E., Welton, Nicky J.
Effect modification occurs when a covariate alters the relative effectiveness of treatment compared to control. It is widely understood that, when effect modification is present, treatment recommendations may vary by population and by subgroups withi
Externí odkaz:
http://arxiv.org/abs/2410.11438
The ICH E9 (R1) addendum on estimands, coupled with recent advancements in causal inference, has prompted a shift towards using model-free treatment effect estimands that are more closely aligned with the underlying scientific question. This represen
Externí odkaz:
http://arxiv.org/abs/2409.11162
Studying racial bias in policing is a critically important problem, but one that comes with a number of inherent difficulties due to the nature of the available data. In this manuscript we tackle multiple key issues in the causal analysis of racial b
Externí odkaz:
http://arxiv.org/abs/2409.08059
Autor:
Weir, Isabelle R.1 (AUTHOR), Dufault, Suzanne M.2,3 (AUTHOR), Phillips, Patrick P. J.2 (AUTHOR) Patrick.phillips@ucsf.edu
Publikováno v:
Trials. 3/12/2024, Vol. 25 Issue 1, p1-10. 10p.
Autor:
Cai, Xiaoxuan, Zeng, Li, Fowler, Charlotte, Dixon, Lisa, Ongur, Dost, Baker, Justin T., Onnela, Jukka-Pekka, Valeri, Linda
Mobile technology (mobile phones and wearable devices) generates continuous data streams encompassing outcomes, exposures and covariates, presented as intensive longitudinal or multivariate time series data. The high frequency of measurements enables
Externí odkaz:
http://arxiv.org/abs/2407.17666
Autor:
Binette, Olivier, Reiter, Jerome P.
Commonly, AI or machine learning (ML) models are evaluated on benchmark datasets. This practice supports innovative methodological research, but benchmark performance can be poorly correlated with performance in real-world applications -- a construct
Externí odkaz:
http://arxiv.org/abs/2406.10366
Autor:
Lee, Kenneth Menglin, Li, Fan
The parallel cluster randomized trial with baseline (PB-CRT) is a common variant of the standard parallel cluster randomized trial (P-CRT). We define two natural estimands in the context of PB-CRTs with informative cluster sizes, the participant-aver
Externí odkaz:
http://arxiv.org/abs/2406.02028
Broad versus narrow research questions in evidence synthesis: a parallel to (and plea for) estimands
There has been a transition from broad to more specific research questions in the practice of network meta-analysis (NMA). Such convergence is also taking place in the context of individual registrational trials, following the recent introduction of
Externí odkaz:
http://arxiv.org/abs/2408.12932
We define the notions of absolute average and median treatment effects as causal estimands on general metric spaces such as Riemannian manifolds, propose estimators using stratification, and prove several properties, including strong consistency. In
Externí odkaz:
http://arxiv.org/abs/2407.03726
Autor:
Bowden, Jack, Madsen, Jesper, Goldman, Bryan, Iversen, Aske Thorn, Liang, Xiaoran, Vansteelandt, Stijn
The STEP 1 randomized trial evaluated the effect of taking semaglutide vs placebo on body weight over a 68 week duration. As with any study evaluating an intervention delivered over a sustained period, non-adherence was observed. This was addressed i
Externí odkaz:
http://arxiv.org/abs/2407.02902