Results 21 to 30 of about 33,194 (158)
Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness [PDF]
Communications in Statistics - Theory and Methods, 2014 Inverse probability weighting (IPW) can deal with confounding in non randomized studies. The inverse weights are probabilities of treatment assignment (propensity scores), estimated by regressing assignment on predictors. Problems arise if predictors can be missing.
Seaman, Shaun, White, Ian
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Frontiers in Medicine, 2022 Whether epidural anesthesia and analgesia (EA) is beneficial for postoperative cancer outcomes remains controversial and we conducted this historical cohort study to evaluate the association between EA and long-term outcomes following surgery for renal ...
Fang-Yu Yen +9 more
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Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2018 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
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Journal of Comparative Effectiveness Research, 2023 Aim: We compared the effectiveness of teclistamab versus real-world physician’s choice of therapy (RWPC) in triple-class exposed relapsed/refractory multiple myeloma. Materials & methods: MajesTEC- 1 eligibility criteria were applied to the RWPC cohort.
Amrita Krishnan +16 more
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Viruses, 2023 Background: Nirmatrelvir/ritonavir (NMV/r) and three-day course remdesivir (3RDV) have been approved as early treatments for COVID-19 outpatients not requiring supplemental oxygen.
Dimitrios Basoulis +14 more
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Modeling time‐varying exposure using inverse probability of treatment weights
Biometrical Journal, 2017 AbstractFor estimating the causal effect of treatment exposure on the occurrence of adverse events, inverse probability weights (IPW) can be used in marginal structural models to correct for time‐dependent confounding. The R package ipw allows IPW estimation by modeling the relationship between the exposure and confounders via several regression models,
Graffeo, Nathalie +3 more
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The Choice of Analytical Strategies in Inverse-Probability-of-Treatment–Weighted Analysis: A Simulation Study [PDF]
American Journal of Epidemiology, 2015 We sought to explore the impact of intention to treat and complex treatment use assumptions made during weight construction on the validity and precision of estimates derived from inverse-probability-of-treatment-weighted analysis. We simulated data assuming a nonexperimental design that attempted to quantify the effect of statin on lowering low ...
Shibing, Yang +4 more
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Comparison of Disease-Free Survival of Breast-Conserving Surgery and Mastectomy Using Propensity Score as Inverse Probability Treatment Weighting [PDF]
Middle East Journal of Cancer, 2023 Background: Survival after breast conserving surgery (BCS) vs. modified radical mastectomy (MRM) is a controversial issue. In this study, we want to compare the disease-free survival (DFS) of women who underwent BCS with those treated by MRM.Method: In ...
Vahid Ghavami +3 more
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Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models [PDF]
Biometrics, 2020 AbstractMarginal structural models (MSMs) with inverse probability weighted estimators (IPWEs) are widely used to estimate causal effects of treatment sequences on longitudinal outcomes in the presence of time‐varying confounding and dependent censoring.
Yiu, Sean, Su, Li
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Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion [PDF]
Statistics & Probability Letters, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephen G. Donald +2 more
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