Results 61 to 70 of about 1,248,041 (248)

Demographics after inverse probability weighting.

open access: yes, 2022
Demographics after inverse probability weighting.
Kiyuk Chang (3620258)   +18 more
core   +1 more source

Protocol for quantifying miRNA trafficking across the endosomal membrane

open access: yesFEBS Open Bio, EarlyView.
An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh   +2 more
wiley   +1 more source

Inverse probability weighting for causal inference in hierarchical data

open access: yesBMC Medical Research Methodology
Objective The aim of this study was to explore the impact of model misspecification, balance, and extreme weights on average treatment effect (ATE) estimation in hierarchical data with unmeasured cluster-level confounders using the multilevel propensity ...
Lin Hu   +10 more
doaj   +1 more source

IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo

open access: yesFEBS Open Bio, EarlyView.
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley   +1 more source

ipw: An R Package for Inverse Probability Weighting

open access: yesJournal of Statistical Software, 2011
We describe the R package ipw for estimating inverse probability weights. We show how to use the package to fit marginal structural models through inverse probability weighting, to estimate causal effects.
Ronald B. Geskus, Willem M. van der Wal
doaj  

Range-Fixed Trade-Off Method: A Preference Elicitation Approach Considering the Dependence of Probability Weighting on Outcome Range

open access: yesSystems
Among existing preference elicitation methods, the trade-off method offers an advantage over others in mitigating the influence of probability weighting on preferences, as it does not require assuming a specific form for the probability weighting ...
Rongyuan Liu, Chunhao Li
doaj   +1 more source

Nonparametric augmented probability weighting with sparsity

open access: yesComputational Statistics & Data Analysis
Nonresponse frequently arises in practice, and simply ignoring it may lead to erroneous inference. Besides, the number of collected covariates may increase as the sample size in modern statistics, so parametric imputation or propensity score weighting usually leads to inefficiency without consideration of sparsity.
Xin He, Xiaojun Mao, Zhonglei Wang
openaire   +3 more sources

Insurance and Probability Weighting Functions [PDF]

open access: yes
Evidence shows that (i) people overweight low probabilities and underweight high probabilities, but (ii) ignore events of extremely low probability and treat extremely high probability events as certain.
Ali al-Nowaihi, Sanjit Dhami
core  

Five‐Year Outcomes of Laparoscopic Sphincter‐Preserving Surgery for Rectal Cancer: A Prospective Study in Elderly Vietnamese Patients

open access: yesAging and Cancer, EarlyView.
This prospective study demonstrates that laparoscopic sphincter‐preserving surgery is feasible for elderly patients. While overall survival reaches 70% at 5 years, advanced T‐stage and the omission of neoadjuvant therapy significantly drive recurrence, highlighting the need for personalized geriatric protocols despite logistical challenges.
Huu Duc Ho   +4 more
wiley   +1 more source

Portfolio Selection with Narrow Framing: Probability Weighting Matters [PDF]

open access: yes
This paper extends the model with narrow framing suggested by Barberis and Huang (2009) to also account for probability weighting and a convex-concave value function in the specification of cumulative prospect theory preferences on narrowly framed assets.
Enrico G. De Giorgi, Shane Legg
core  

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