Results 11 to 20 of about 278 (169)

Mediated probabilities of causation [PDF]

Journal of Causal Inference
We propose a set of causal estimands that we call “the mediated probabilities of causation.” These estimands quantify the probabilities that an observed negative outcome was induced via a mediating pathway versus a direct pathway in a stylized setting ...
Rubinstein Max, Cuellar Maria, Malinsky Daniel   +2 more
doaj   +2 more sources

Bounding causal effects with an unknown mixture of informative and non-informative missingness [PDF]

Journal of Causal Inference
In experimental and observational data settings, researchers often have limited knowledge of the reasons for missing outcomes. To address this uncertainty, we propose bounds on causal effects for missing outcomes, accommodating the scenario where ...
Rubinstein Max, Agniel Denis, Han Larry, Horvitz-Lennon Marcela, Normand Sharon-Lise   +4 more
doaj   +2 more sources

An approach to nonparametric inference on the causal dose–response function [PDF]

Journal of Causal Inference
The causal dose–response curve is commonly selected as the statistical parameter of interest in studies where the goal is to understand the effect of a continuous exposure on an outcome.
Hudson Aaron, Geng Elvin H., Odeny Thomas A., Bukusi Elizabeth A., Petersen Maya L., van der Laan Mark J.   +5 more
doaj   +2 more sources

HAL-based plug-in estimation with pointwise asymptotic normality of the causal dose–response curve [PDF]

Journal of Causal Inference
Estimating and obtaining reliable inference for the marginally adjusted causal dose–response curve for continuous treatments without relying on parametric assumptions is a well-known statistical challenge.
Shi Junming, Zhang Wenxin, Hubbard Alan E., van der Laan Mark J.   +3 more
doaj   +2 more sources

Semiparametric discovery and estimation of interaction in mixed exposures using stochastic interventions [PDF]

Journal of Causal Inference
Understanding the complex interactions among multiple environmental exposures is critical for assessing their combined impact on health outcomes. This study introduces InterXshift, a novel semiparametric method that provides a nonparametric definition of
McCoy David B., Hubbard Alan, van der Laan Mark, Schuler Alejandro   +3 more
doaj   +2 more sources

Trimmed means for functional data [PDF]

, 2001
Data depth, functional data, trimmed means estimates, 62G07, 62G05,
Fraiman, Ricardo, Graciela Muniz, Ricardo Fraiman, Muñiz, Graciela   +3 more
core   +1 more source

Statistics of Extremes under Random Censoring [PDF]

, 2006
AMS classifications: 62G05; 62G20; 62G32 ...
John H. J. Einmahl, Amélie Fils-Villetard, Einmahl, J.H.J., Guillou, A., Fils-Villetard, A., Armelle Guillou   +5 more
core   +1 more source

Bootstrap variance estimation for Nadaraya quantile estimator [PDF]

, 2009
Nadaraya quantile estimator, Order-calibration, Smoothed bootstrap, 62G05, 62G09, 62G30,
Cheung, KY, K. Y. Cheung, K. Cheung, Lee, SMS, Stephen Lee, Stephen M. S. Lee   +5 more
core   +1 more source

Large deviations for exchangeable observations with applications

International Journal of Mathematics and Mathematical Sciences, Volume 2004, Issue 55, Page 2947-2958, 2004., 2004
We first prove some large deviation results for a mixture of i.i.d. random variables. Compared with most of the known results in the literature, our results are built on relaxing some restrictive conditions that may not be easy to be checked in certain typical cases.
Jinwen Chen
wiley   +1 more source

Strong Consistency of Estimators for Heteroscedastic Partly Linear Regression Model under Dependent Samples

International Journal of Stochastic Analysis, Volume 15, Issue 3, Page 207-219, 2002., 2002
In this paper we are concerned with the heteroscedastic regression model yi = xiβ + g(ti) + σiei, 1 ≤ i ≤ n under correlated errors ei, where it is assumed that σi2=f(ui), the design points (xi, ti, ui) are known and nonrandom, and g and f are unknown functions. The interest lies in the slope parameter β.
Han-Ying Liang, Bing-Yi Jing
wiley   +1 more source