Results 51 to 60 of about 49,636 (297)
Risks of outcomes among immunocompromised patients after inverse probability of treatment weighting.
Risks of outcomes among immunocompromised patients after inverse probability of treatment weighting.
Sun-Young Jung (295962) +4 more
core +1 more source
Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study
Background Randomized trials are considered the gold standard for making inferences about the causal effects of treatments. However, when protocol deviations occur, the baseline randomization of the trial is no longer sufficient to ensure unbiased ...
Jessica G. Young +3 more
doaj +1 more source
Baseline characteristics of the atrial fibrillation populations after inverse probability of treatment weighting.
Sylvie Perreault (3574211) +5 more
core +1 more source
Standardized differences to identify imbalances between treatment groups before and after imputing and inverse-probability-of-treatment-weighting.
Anna Suling (759811) +9 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
BackgroundThe relationship between statin use and delirium remains controversial; therefore, we aimed to study the association between statin exposure and delirium and in-hospital mortality in patients with congestive heart failure.MethodsIn this ...
Jiangling Xia +3 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Modeling Secondary Phenotypes Conditional on Genotypes in Case–Control Studies
Traditional case–control genetic association studies examine relationships between case–control status and one or more covariates. It is becoming increasingly common to study secondary phenotypes and their association with the original covariates.
Naomi C. Brownstein +5 more
doaj +1 more source
Constructing Inverse Probability Weights for Marginal Structural Models [PDF]
The method of inverse probability weighting (henceforth, weighting) can be used to adjust for measured confounding and selection bias under the four assumptions of consistency, exchangeability, positivity, and no misspecification of the model used to estimate weights.
Stephen R, Cole, Miguel A, Hernán
openaire +2 more sources
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source

