Results 71 to 80 of about 917,002 (254)

Conditional as-if analyses in randomized experiments

Journal of Causal Inference, 2021
The injunction to “analyze the way you randomize” is well known to statisticians since Fisher advocated for randomization as the basis of inference. Yet even those convinced by the merits of randomization-based inference seldom follow this injunction to ...
Pashley Nicole E., Basse Guillaume W., Miratrix Luke W.   +2 more
doaj   +1 more source

Inferring causality [PDF]

Journal of Vascular Surgery, 2020
Daniel J, Wong, Elliot L, Chaikof
openaire   +2 more sources

Causal inference in cplint

International Journal of Approximate Reasoning, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Riguzzi, Fabrizio, Cota, Giuseppe, Bellodi, Elena, Zese, Riccardo   +3 more
openaire   +4 more sources

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Targeting mediating mechanisms of social disparities with an interventional effects framework, applied to the gender pay gap in Western Germany

Journal of Causal Inference
The Oaxaca-Blinder (OB) decomposition is a widely used method to explain social disparities. However, assigning causal meaning to its estimated components requires strong assumptions that often lack explicit justification.
Didden Christiane
doaj   +1 more source

Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate

Journal of Causal Inference, 2015
In the Regression Discontinuity (RD) design, units are assigned a treatment based on whether their value of an observed covariate is above or below a fixed cutoff.
Cattaneo Matias D., Frandsen Brigham R., Titiunik Rocío   +2 more
doaj   +1 more source

Novel bounds for causal effects based on sensitivity parameters on the risk difference scale

Journal of Causal Inference, 2021
Unmeasured confounding is an important threat to the validity of observational studies. A common way to deal with unmeasured confounding is to compute bounds for the causal effect of interest, that is, a range of values that is guaranteed to include the ...
Sjölander Arvid, Hössjer Ola
doaj   +1 more source

Lost in the Vaso‐Occlusion: A Patient's Abdominal Pain Returns With a Vengeance

Pediatric Blood &Cancer, EarlyView.
Dunia Hatabah, Martha E. Stewart, Nathan Maassel, James P. Stevens, Claudia R. Morris, Chris A. Rees   +5 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Role of placebo samples in observational studies

Journal of Causal Inference
In an observational study, it is common to leverage known null effects to detect bias. One such strategy is to set aside a placebo sample – a subset of data immune from the hypothesized cause-and-effect relationship. Existence of an effect in the placebo
Ye Ting, He Qijia, Chen Shuxiao, Zhang Bo   +3 more
doaj   +1 more source