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Behind the Numbers: Inverse Probability Weighting
Radiology, 2014Inverse probability weighting is a propensity score-based technique that can be used to compensate for imbalance in study groups. It is an alternative to regression-based adjustment of the outcomes. It has advantages over matching of cases on the basis of propensity scores when there are more than two groups to compare, when finding matches results in ...
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Review of inverse probability weighting for dealing with missing data
Statistical Methods in Medical Research, 2011The simplest approach to dealing with missing data is to restrict the analysis to complete cases, i.e. individuals with no missing values. This can induce bias, however. Inverse probability weighting (IPW) is a commonly used method to correct this bias. It is also used to adjust for unequal sampling fractions in sample surveys. This article is a review
Shaun R, Seaman, Ian R, White
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Variable selection using inverse probability of censoring weighting
Statistical Methods in Medical Research, 2023In this article, we propose two variable selection methods for adjusting the censoring information for survival times, such as the restricted mean survival time. To adjust for the influence of censoring, we consider an inverse probability of censoring weighted for subjects with events. We derive a least absolute shrinkage and selection operator (lasso)
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Constructing Inverse Probability Weights for Continuous Exposures
Epidemiology, 2014Inverse probability-weighted marginal structural models with binary exposures are common in epidemiology. Constructing inverse probability weights for a continuous exposure can be complicated by the presence of outliers, and the need to identify a parametric form for the exposure and account for nonconstant exposure variance.
Ashley I, Naimi +3 more
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Methods for Inverse Probability of Attrition Weighting
2020In this paper, we examine methods for Inverse Probability of Attrition Weighting (IPAW) in a cohort study. Such longitudinal studies often suffer from attrition bias when participants fail to attend follow up visits. IPAW is a common strategy to address attrition bias which allows for unbiased estimation of causal effects.
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Estimation of attributable fractions using inverse probability weighting
Statistical Methods in Medical Research, 2010The attributable fraction is commonly used in epidemiology to quantify the impact of an exposure on a disease. Several estimation methods have been suggested in the literature, including maximum likelihood estimation. In this article we propose an additional estimation method, based on inverse probability weighting.
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A note on convergence of calibration weights to inverse probability weights
Statistica NeerlandicaAbstractRecently, nonresponse rates in sample surveys have been increasing. Nonresponse bias is a serious concern in the analysis of sample surveys. The calibration and propensity score methods are used to adjust nonresponse bias. The propensity score method uses the weights of the inverse probability of response. The inverse probability of response is
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Augmented inverse probability weighted fractional imputation in quantile regression
Pharmaceutical Statistics, 2020SummaryBy employing all the observed information and the optimal augmentation term, we propose an augmented inverse probability weighted fractional imputation method (AFI) to handle covariates missing at random in quantile regression. Compared with the existing completely case analysis, inverse probability weighting, multiple imputation and fractional ...
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Active Learning for Regression by Inverse Distance Weighting
Information Sciences, 2023Alberto Bemporad
exaly