Cross-sectional studies are observational studies that analyze data from a population at a
single point in time. They are often used to measure the prevalence of health outcomes …

It is increasingly important to accurately and comprehensively estimate the effects of
particular clinical treatments. Although randomization is the current gold standard …

Propensity score matching (PSM) is a popular method in clinical researches to create a
balanced covariate distribution between treated and untreated groups. However, the …

Objective There are limited, unmatched data reporting low complication rates in pregnant
women with coronavirus disease 2019 (COVID‐19). The aim of this study was to compare …

Propensity score (PS) methods offer certain advantages over more traditional regression
methods to control for confounding by indication in observational studies. Although …

Summary ZUMA‐1 (NCT02348216) examined the safety and efficacy of axicabtagene
ciloleucel (axi‐cel), an autologous CD19‐directed chimaeric antigen receptor (CAR)‐T cell …

The propensity score is defined as a subject's probability of treatment selection, conditional
on observed baseline covariates. Weighting subjects by the inverse probability of treatment …

We show that propensity score matching (PSM), an enormously popular method of
preprocessing data for causal inference, often accomplishes the opposite of its intended …

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 …

Efficacy of first dose of covid-19 vaccine versus no vaccination on symptoms of patients with
long covid: target trial emulation based on ComPaRe e-cohort - PMC Back to Top Skip to main …