Results 51 to 60 of about 2,231,738 (318)
Balancing Treatment Allocation over Continuous Covariates: A New Imbalance Measure for Minimization
Journal of Probability and Statistics, 2012 In many clinical trials, it is important to balance treatment allocation over covariates. Although a great many papers have been published on balancing over discrete covariates, the procedures for continuous covariates have been less well studied ...
Yanqing Hu, Feifang Hu
doaj +1 more source
A Conditional Randomization Test to Account for Covariate Imbalance in Randomized Experiments
Journal of Causal Inference, 2016 We consider the conditional randomization test as a way to account for covariate imbalance in randomized experiments. The test accounts for covariate imbalance by comparing the observed test statistic to the null distribution of the test statistic ...
Hennessy Jonathan +4 more
doaj +1 more source
Inference after covariate-adaptive randomisation: aspects of methodology and theory
Statistical Theory and Related Fields, 2021 Covariate-adaptive randomisation has a more than 45 years of history of applications in clinical trials, in order to balance treatment assignments across prognostic factors that may have influence on the outcomes of interest.
Jun Shao
doaj +1 more source
PLoS ONE, 2023 In observational studies weighting techniques are often used to overcome bias due to confounding. Modeling approaches, such as inverse propensity score weighting, are popular, but often rely on the correct specification of a parametric model wherein ...
Guilherme W F Barros +2 more
doaj +1 more source
Journal of Causal Inference, 2019 A powerful tool for the analysis of nonrandomized observational studies has been the potential outcomes model. Utilization of this framework allows analysts to estimate average treatment effects.
Ghosh Debashis, Cruz Cortés Efrén
doaj +1 more source
Patient characteristics and covariate balance before and after propensity matching.
, 2023 Patient characteristics and covariate balance before and after propensity matching.
Mohanad Al-Obaidi (15374453) +12 more
core +1 more source
Covariate Balancing With Measurement Error
Statistics in MedicineABSTRACT In recent years, there is a growing body of causal inference literature focusing on covariate balancing methods. These methods eliminate observed confounding by equalizing covariate moments between the treated and control groups.
Xialing Wen, Ying Yan
openaire +3 more sources
Algorithms and Complexity for Variants of Covariates Fine Balance
CoRR, 2020 We study here several variants of the covariates fine balance problem where we generalize some of these problems and introduce a number of others. We present here a comprehensive complexity study of the covariates problems providing polynomial time algorithms, or a proof of NP-hardness.
Dorit S. Hochbaum, Asaf Levin, Xu Rao
openaire +2 more sources
BMC Medical Research Methodology, 2020 Background Propensity scores are widely used to deal with confounding bias in medical research. An incorrectly specified propensity score model may lead to residual confounding bias; therefore it is essential to use diagnostics to assess propensity ...
Emily Granger +3 more
doaj +1 more source
Scientific African, 2022 Selection bias is a fundamental reason why the estimation of treatment effects in observational studies is not as straightforward as in well-designed experiments.
Lateef Amusa +2 more
doaj +1 more source