Using propensity scores for causal inference: pitfalls and tips
K Shiba, T Kawahara - Journal of epidemiology, 2021 - jstage.jst.go.jp
Methods based on propensity score (PS) have become increasingly popular as a tool for
causal inference. A better understanding of the relative advantages and disadvantages of …
causal inference. A better understanding of the relative advantages and disadvantages of …
Cardiovascular outcomes and risks after initiation of a sodium glucose cotransporter 2 inhibitor: results from the EASEL population-based cohort study (evidence for …
JA Udell, Z Yuan, T Rush, NM Sicignano, M Galitz… - Circulation, 2018 - Am Heart Assoc
Background: Clinical trials have shown cardiovascular benefits and potential risks from
sodium glucose cotransporter 2 inhibitors (SGLT2i). Trials may have limited ability to …
sodium glucose cotransporter 2 inhibitors (SGLT2i). Trials may have limited ability to …
Risk of serious infections in tocilizumab versus other biologic drugs in patients with rheumatoid arthritis: a multidatabase cohort study
Objective To investigate the rate of serious bacterial, viral or opportunistic infection in
patients with rheumatoid arthritis (RA) starting tocilizumab (TCZ) versus tumour necrosis …
patients with rheumatoid arthritis (RA) starting tocilizumab (TCZ) versus tumour necrosis …
The impact of consulting services on small and medium enterprises: Evidence from a randomized trial in Mexico
A randomized control trial with 432 small and medium enterprises in Mexico shows positive
impact of access to 1 year of management consulting services on total factor productivity and …
impact of access to 1 year of management consulting services on total factor productivity and …
[HTML][HTML] Propensity score: An alternative method of analyzing treatment effects: Part 23 of a series on evaluation of scientific publications
O Kuss, M Blettner, J Börgermann - Deutsches Ärzteblatt …, 2016 - ncbi.nlm.nih.gov
Background In intervention trials, only randomization guarantees equal distributions of all
known and unknown patient characteristics between an intervention group and a control …
known and unknown patient characteristics between an intervention group and a control …
[HTML][HTML] Risk of Alzheimer's disease following influenza vaccination: a claims-based cohort study using propensity score matching
AS Bukhbinder, Y Ling, O Hasan… - Journal of …, 2022 - content.iospress.com
Background: Prior studies have found a reduced risk of dementia of any etiology following
influenza vaccination in selected populations, including veterans and patients with serious …
influenza vaccination in selected populations, including veterans and patients with serious …
Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity score
PC Austin - American journal of epidemiology, 2010 - academic.oup.com
Propensity-score matching is increasingly being used to estimate the effects of treatments
using observational data. In many-to-one (M: 1) matching on the propensity score, M …
using observational data. In many-to-one (M: 1) matching on the propensity score, M …
One‐to‐many propensity score matching in cohort studies
Background Among the large number of cohort studies that employ propensity score
matching, most match patients 1: 1. Increasing the matching ratio is thought to improve …
matching, most match patients 1: 1. Increasing the matching ratio is thought to improve …
The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the …
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 …
data. Propensity-score matching methods are frequently used to adjust for differences in …
Applying propensity score methods in clinical research in neurology
Propensity score–based analysis is increasingly being used in observational studies to
estimate the effects of treatments, interventions, and exposures. We introduce the concept of …
estimate the effects of treatments, interventions, and exposures. We introduce the concept of …