Results 51 to 60 of about 1,854,472 (300)
On Inverse Probability Weighting for Nonmonotone Missing at Random Data [PDF]
Journal of the American Statistical Association, 2017 The development of coherent missing data models to account for nonmonotone missing at random (MAR) data by inverse probability weighting (IPW) remains to date largely unresolved. As a consequence, IPW has essentially been restricted for use only in monotone MAR settings.
Sun, BaoLuo, Tchetgen, Eric J. Tchetgen
openaire +3 more sources
IPWLOGIT: Stata module to fit marginal logistic regression by inverse probability weighting
, 2023 IPWLOGIT fits marginal logistic regression of a binary dependent variable on a treatment variable, possibly adjusting for control variables by inverse probability weighting (IPW).
Jann, Ben
core
Modeling Secondary Phenotypes Conditional on Genotypes in Case–Control Studies
Stats, 2022 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]
American Journal of Epidemiology, 2008 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
, 2016 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
, 2023 Supplemental material, sj-zip-1-smm-10.1177_09622802231199335 for Variable selection using inverse probability of censoring weighting by Masahiro Kojima in Statistical Methods in Medical ...
Masahiro Kojima (3719785)
core +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.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
, 2022 Relative risk and adjusted SARs of COVID-19 secondary case using an inverse probability weighting in Pakistani household contacts.
Asghar Khan (9377860) +18 more
core +1 more source
Molecular Oncology, EarlyView.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
Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study
Trials, 2019 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