Results 131 to 140 of about 2,902,778 (234)

Semiparametric regression analysis of bivariate censored events in a family study of Alzheimer's disease. [PDF]

Biostatistics, 2022
Gao F, Zeng D, Wang Y.
europepmc   +1 more source

A causal inference framework to compare the effectiveness of life‐sustaining ICU therapies—using the example of cancer patients with sepsis

International Journal of Cancer, Volume 158, Issue 3, Page 707-715, 1 February 2026.
What's new? Rising cancer incidence in the United States is associated with an increased demand on intensive care units (ICUs). Critically ill cancer patients, however, often rely on life‐sustaining therapies, which are linked to greater ICU mortality.
João Matos, Tristan Struja, Naira Link Woite, David Restrepo, Andre Kurepa Waschka, Leo A. Celi, Christopher M. Sauer   +6 more
wiley   +1 more source

parallelMCMCcombine: An R Package for Bayesian Methods for Big Data and Analytics

, 2014
Recent advances in big data and analytics research have provided a wealth of large data sets that are too big to be analyzed in their entirety, due to restrictions on computer memory or storage size.
Conlon, Erin, Miroshnikov, Alexey
core   +3 more sources

Semiparametric regression modeling of the global percentile outcome. [PDF]

J Stat Plan Inference, 2023
Liu X, Ning J, He X, Tilley BC, Li R.
europepmc   +1 more source

A Tutorial on Optimal Dynamic Treatment Regimes

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT A dynamic treatment regime (DTR) is a sequence of treatment decision rules tailored to an individual's evolving status over time. In precision medicine, much focus has been placed on finding an optimal DTR which, if followed by everyone in the population, would yield the best outcome on average; and extensive investigations have been conducted
Chunyu Wang, Brian D. M. Tom
wiley   +1 more source

MODELING STUNTING PREVALENCE IN INDONESIA USING SPLINE TRUNCATED SEMIPARAMETRIC REGRESSION

Barekeng
Semiparametric regression combines parametric and nonparametric regression approaches. It is employed when the relationship pattern of the response variable is known with some predictors, while for other predictors, the relationship pattern is uncertain.
Rizki Dwi Fadlirhohim, Sifriyani Sifriyani, Andrea Tri Rian Dani   +2 more
doaj   +1 more source

The Combined Effect of Environmental Policies on China's Renewable Energy Development: A Multi-Perspective Study Based on Semiparametric Regression Model. [PDF]

Int J Environ Res Public Health, 2022
Yang X, Zhong S.
europepmc   +1 more source

Causal Inference With Survey Data: A Robust Framework for Propensity Score Weighting in Probability and Non‐Probability Samples

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Confounding bias and selection bias are two major challenges in causal inference with observational data. While numerous methods have been developed to mitigate confounding bias, they often assume that the data are representative of the study population and ignore the potential selection bias introduced during data collection.
Wei Liang, Changbao Wu
wiley   +1 more source

Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation. [PDF]

Lifetime Data Anal, 2023
Wong KY, Zhou Q, Hu T.
europepmc   +1 more source

Recanting Twins: Addressing Intermediate Confounding in Mediation Analysis

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT The presence of intermediate confounders, also called recanting witnesses, is a fundamental challenge to the investigation of causal mechanisms in mediation analysis, preventing the identification of natural path‐specific effects. Common alternatives (such as randomizational interventional effects) are problematic because they can take non ...
Tat‐Thang Vo, Nicholas Williams, Richard Liu, Kara E. Rudolph, Iván Díaz   +4 more
wiley   +1 more source