Results 31 to 40 of about 1,854,472 (300)
Using Propensity Scores for Causal Inference: Pitfalls and Tips
Methods based on propensity score (PS) have become increasingly popular as a tool for causal inference. A better understanding of the relative advantages and disadvantages of the alternative analytic approaches can contribute to the optimal choice and ...
Koichiro Shiba, Takuya Kawahara
doaj +1 more source
Inverse probability of treatment weighting-adjusted univariate and multivariate analyses of PFS and OS.
Shinichiro Shimamatsu (12054899) +10 more
core +1 more source
Baseline characteristics before and after inverse probability of selection weighting (IOPW).
Baseline characteristics before and after inverse probability of selection weighting (IOPW).
Albee Y. Ling (12870871) +6 more
core +1 more source
Baseline characteristics of high-risk populations before and after inverse probability weighting.
Baseline characteristics of high-risk populations before and after inverse probability weighting.
Meng-yu Liu (17599091) +8 more
core +1 more source
Background People with Alzheimer disease (AD) are more predisposed to seizures than older people in general, and use of antiepileptic drugs (AEDs) is more frequent.
Tatyana Court +6 more
doaj +1 more source
Baseline characteristics before and after inverse probability of treatment weighting with restriction.
Javier Maldonado-Escalante (16884103) +4 more
core +1 more source
Variance estimation in inverse probability weighted Cox models
AbstractInverse probability weighted Cox models can be used to estimate marginal hazard ratios under different point treatments in observational studies. To obtain variance estimates, the robust sandwich variance estimator is often recommended to account for the induced correlation among weighted observations.
Di Shu +3 more
openaire +5 more sources
Covariate balance for inverse probability of treatment weighting of infants treated with and without pranlukast.
Jun Kubota (1314747) +5 more
core +1 more source
Inverse probability weighting Cox proportional hazard regression to evaluate the effect of treatment on OS.
Vishal Vashistha (3919100) +5 more
core +1 more source
Using inverse probability weighting to address post-outcome collider bias [PDF]
We consider the problem of bias arising from conditioning on a post-outcome collider. We illustrate this with reference to Elwert and Winship (2014) but we go beyond their study to investigate the extent to which inverse probability weighting might offer
Richard Breen, John Ermisch
core +1 more source

