CE2 Effect of Different Variance Estimation Methods with Inverse Probability Treatment Weights (IPTW) on Comparative Effectiveness Measure in Multiple Sclerosis

2021 ◽  
Vol 24 ◽  
pp. S2
Author(s):  
J. Earla ◽  
G.J. Hutton ◽  
J.D. Thornton ◽  
H. Chen ◽  
M.L. Johnson ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Comparative Effectiveness ◽  
Variance Estimation ◽  
Estimation Methods ◽  
Inverse Probability ◽  
Effectiveness Measure

scholarly journals Meta-Analysis with Robust Variance Estimation: Expanding the Range of Working Models

2020 ◽  
Author(s):  
James E Pustejovsky ◽  
Elizabeth Tipton
Keyword(s):  
Variance Estimation ◽  
Meta Analysis ◽  
Estimation Methods ◽  
Single Type ◽  
Dependence Structure ◽  
Dependent Effect ◽  
Working Models ◽  
Robust Variance ◽  
Robust Variance Estimation ◽  
Meta Regression

In prevention science and related fields, large meta-analyses are common, and these analyses often involve dependent effect size estimates. Robust variance estimation (RVE) methods provide a way to include all dependent effect sizes in a single meta-regression model, even when the nature of the dependence is unknown. RVE uses a working model of the dependence structure, but the two currently available working models are limited to each describing a single type of dependence. Drawing on flexible tools from multivariate meta-analysis, this paper describes an expanded range of working models, along with accompanying estimation methods, which offer benefits in terms of better capturing the types of data structures that occur in practice and improving the efficiency of meta-regression estimates. We describe how the methods can be implemented using existing software (the ‘metafor’ and ‘clubSandwich’ packages for R) and illustrate the approach in a meta-analysis of randomized trials examining the effects of brief alcohol interventions for adolescents and young adults.

scholarly journals Comparative effectiveness of the BNT162b2 vs ChAdOx1 vaccine against Covid-19

2021 ◽  
Author(s):  
Junqing Xie ◽  
shuo feng ◽  
Xintong Li ◽  
Ester Gea Mallorqui ◽  
Albert Prats-Uribe ◽  
...  
Keyword(s):  
Comparative Effectiveness ◽  
Direct Evidence ◽  
Hazard Ratio ◽  
Evidence Based ◽  
Probability Weighting ◽  
Uk Biobank ◽  
Cox Models ◽  
Inverse Probability ◽  
Related Hospitalisation ◽  
Vaccination Campaigns

Although pivotal trials with varying populations and study methods suggest higher efficacy for mRNA than adenoviral Covid-19 vaccines, no direct evidence is available. Here, we conducted a head-to-head comparison of BNT162b2 versus ChAdOx1 against Covid-19. We analysed 235,181 UK Biobank participants aged 50 years or older and vaccinated with one or two doses of BNT162b2 or ChAdOx1. People were followed from the vaccination date until 18/10/2021. Inverse probability weighting was used to minimise confounding and the Cox models to derive hazard ratio. We found that, compared with two doses of ChAdOx1, vaccination with BNT162b2 was associated with 30% lower risks of both SARS-CoV-2 infection and related hospitalisation during the period dominated by the delta variant. Also, this comparative effectiveness was consistent across several subgroups and persisted for at least six months, suggesting no differential waning between the two vaccines. Our findings can inform evidence-based Covid-19 vaccination campaigns and booster strategies.

scholarly journals Variance estimation in inverse probability weighted Cox models

Biometrics ◽  
2020 ◽  
Author(s):  
Di Shu ◽  
Jessica G. Young ◽  
Sengwee Toh ◽  
Rui Wang
Keyword(s):  
Variance Estimation ◽  
Cox Models ◽  
Inverse Probability ◽  
Inverse Probability Weighted
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