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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
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
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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
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Covariate balance for the good vision and poor vision groups before and after MDM.
, 2022 Covariate balance for the good vision and poor vision groups before and after MDM.
Frederik Sagemüller (8580681) +2 more
core +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
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Journal of Statistical Software, 2017 Ivers et al. (2012) have recently stressed the importance to both statistical power and face validity of balancing allocations to study arms on relevant covariates.
Erich J. Greene
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An Information-Theoretic Measure for Balance Assessment in Comparative Clinical Studies
Entropy, 2020 Limitations of statistics currently used to assess balance in observation samples include their insensitivity to shape discrepancies and their dependence upon sample size.
Jarrod E. Dalton +2 more
doaj +1 more source
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
Covariate balance before and after Propensity Score Weighting for each stratum.
, 2023 Covariate balance before and after Propensity Score Weighting for each stratum.
Yao Liu (173014) +6 more
core +1 more source