An introduction to inverse probability of treatment weighting in observational research

NC Chesnaye, VS Stel, G Tripepi… - Clinical Kidney …, 2022‏ - academic.oup.com
In this article we introduce the concept of inverse probability of treatment weighting (IPTW)
and describe how this method can be applied to adjust for measured confounding in …

Statistical primer: propensity score matching and its alternatives

U Benedetto, SJ Head, GD Angelini… - European Journal of …, 2018‏ - academic.oup.com
Propensity score (PS) methods offer certain advantages over more traditional regression
methods to control for confounding by indication in observational studies. Although …

Alternative approaches for confounding adjustment in observational studies using weighting based on the propensity score: a primer for practitioners

RJ Desai, JM Franklin - bmj, 2019‏ - bmj.com
This report aims to provide methodological guidance to help practitioners select the most
appropriate weighting method based on propensity scores for their analysis out of many …

Cytoreductive surgery with or without hyperthermic intraperitoneal chemotherapy for gastric cancer with peritoneal metastases (CYTO-CHIP study): a propensity score …

PE Bonnot, G Piessen, V Kepenekian… - Journal of Clinical …, 2019‏ - ascopubs.org
PURPOSE Gastric cancer (GC) with peritoneal metastases (PMs) is a poor prognostic
evolution. Cytoreductive surgery (CRS) yields promising results, but the impact of …

Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis

PC Austin - Statistics in medicine, 2016‏ - Wiley Online Library
Propensity score methods are used to reduce the effects of observed confounding when
using observational data to estimate the effects of treatments or exposures. A popular …

The use of propensity score methods with survival or time‐to‐event outcomes: reporting measures of effect similar to those used in randomized experiments

PC Austin - Statistics in medicine, 2014‏ - Wiley Online Library
Propensity score methods are increasingly being used to estimate causal treatment effects
in observational studies. In medical and epidemiological studies, outcomes are frequently …

Reporting and guidelines in propensity score analysis: a systematic review of cancer and cancer surgical studies

XI Yao, X Wang, PJ Speicher, ES Hwang… - JNCI: Journal of the …, 2017‏ - academic.oup.com
Background: Propensity score (PS) analysis is increasingly being used in observational
studies, especially in some cancer studies where random assignment is not feasible. This …

Acute outcomes and 1-year mortality of intensive care unit–acquired weakness. A cohort study and propensity-matched analysis

G Hermans, H Van Mechelen, B Clerckx… - American journal of …, 2014‏ - atsjournals.org
Rationale: Intensive care unit (ICU)-acquired weakness is a frequent complication of critical
illness. It is unclear whether it is a marker or mediator of poor outcomes. Objectives: To …

Making apples from oranges: comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets

R Daniel, J Zhang, D Farewell - Biometrical Journal, 2021‏ - Wiley Online Library
We revisit the well‐known but often misunderstood issue of (non) collapsibility of effect
measures in regression models for binary and time‐to‐event outcomes. We describe an …

The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the …

PC Austin, EA Stuart - Statistical methods in medical …, 2017‏ - journals.sagepub.com
There is increasing interest in estimating the causal effects of treatments using observational
data. Propensity-score matching methods are frequently used to adjust for differences in …