Results 11 to 20 of about 46,442 (255)
International Journal of Turkish Education Sciences, 2023 In this Monte Carlo simulation study, the performance of six different propensity score methods implemented through weighting cases was investigated: inverse probability of treatment weighting, truncated inverse probability of treatment weighting ...
Sungur Gürel, Walter Lana Leite
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Adding propensity scores to pure prediction models fails to improve predictive performance [PDF]
PeerJ, 2013 Background. Propensity score usage seems to be growing in popularity leading researchers to question the possible role of propensity scores in prediction modeling, despite the lack of a theoretical rationale. It is suspected that such requests are due to
Amy S. Nowacki +3 more
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Effect of the Extent of Resection on Survival Outcome in Glioblastoma: Propensity Score Approach
Brazilian Neurosurgery, 2021 Objective To evaluate the effectiveness of the extent of resection (EOR) on survival outcome using propensity score-based approaches. Materials and Methods A retrospective cohort study was performed in patients with newly diagnosed ...
Thara Tunthanathip, Suphavadee Madteng
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Propensity score weighting for covariate adjustment in randomized clinical trials [PDF]
Statistics in Medicine, 2020 Chance imbalance in baseline characteristics is common in randomized clinical trials. Regression adjustment such as the analysis of covariance (ANCOVA) is often used to account for imbalance and increase precision of the treatment effect estimate. An objective alternative is through inverse probability weighting (IPW) of the propensity scores. Although
Shuxi Zeng, Fan Li, Rui Wang, Fan Li
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Adjusting for unmeasured spatial confounding with distance adjusted propensity score matching [PDF]
Biostatistics, 2018 31 ...
Papadogeorgou, Georgia +2 more
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Cutting Feedback in Bayesian Regression Adjustment for the Propensity Score [PDF]
The International Journal of Biostatistics, 2010 McCandless, Gustafson and Austin (2009) describe a Bayesian approach to regression adjustment for the propensity score to reduce confounding. A unique property of the method is that the treatment and outcome models are combined via Bayes theorem. However, this estimation procedure can be problematic if the outcome model is misspecified.
McCandless, Lawrence C +3 more
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Stats, 2021 Without randomization of treatments, valid inference of treatment effects from observational studies requires controlling for all confounders because the treated subjects generally differ systematically from the control subjects.
Tingting Zhou +2 more
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PLoS ONE, 2021 This study calculates the effect of different types of land circulation on farmers' decision-making regarding agricultural planting structure, using field survey data involving 1,120 households in Hubei province, China, and PSM (propensity score matching)
Jiquan Peng +5 more
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BMC Medicine, 2011 Background Drug-eluting stents (DES) reduce rates of restenosis compared with bare metal stents (BMS). A number of observational studies have also found lower rates of mortality and non-fatal myocardial infarction with DES compared with BMS, findings not
McCulloch Charles E +3 more
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Frontiers in Immunology, 2021 BackgroundNeutrophils have been associated with lung tissue damage in many diseases, including tuberculosis (TB). Whether neutrophil count can serve as a predictor of adverse treatment outcomes is unknown.MethodsWe prospectively assessed 936 patients ...
Anna Cristina C. Carvalho +37 more
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