Bayesian estimation of the average treatment effect on the treated using inverse weighting

Capistrano, Estelina S. M.; Moodie, Erica E. M.; Schmidt, Alexandra M.

doi:10.1002/sim.8121

Cited by 5 publications

(3 citation statements)

References 49 publications

(72 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The consideration of this approach is mostly based on practical utility, rather than relying on theoretical grounds. An alternative approach is to consider an approximate Bayesian inference through Bayesian bootstrap, as in Saarela et al (2015) and Capistrano et al (2019) for analyzing non-clustered observational data. However, while that approach is operationally feasible, it is unclear how to consider bias-corrected sandwich variance estimation under Bayesian bootstrap.…”

Section: Discussionmentioning

confidence: 99%

Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome

Zhu¹,

Mitra²,

Hemming³

et al. 2022

Preprint

View full text Add to dashboard Cite

Cluster-randomized trials (CRTs) involve randomizing entire groups of participants to treatment arms, but are often comprised of a limited number of available clusters. While covariate adjustment can account for chance imbalances between treatment arms and increase statistical efficiency in individually-randomized trials, analytical methods for covariate adjustment in small CRTs have received little attention to date. In this paper, we systematically investigate, through extensive simulations, the operating characteristics of propensity score weighting and multivariable regression as two covariate adjustment strategies for estimating the participant-average causal effect in small CRTs with a rare binary outcome and identify scenarios where each covariate adjustment strategy has a relative efficiency advantage over the other to make practical recommendations. Beyond efficiency considerations, we also examined the finite-sample performance of the sandwich variance estimators associated with propensity score weighting and multivariable regression for quantifying the uncertainty in estimating the participant-average treatment effect. We found that the Mancl and DeRouen (2001) type bias-corrected sandwich variance estimator tends to provide the closest to nominal coverage for both propensity score weighting and multivariable regression estimators, extending the existing recommendations for unadjusted analysis of CRTs to accommodate covariate adjustment in small CRTs with a rare binary outcome. To illustrate the practical consequences of these various adjustment approaches, we reanalyzed a recent CRT testing a sedation protocol in 31 pediatric intensive care units.

show abstract

Section: Discussionmentioning

confidence: 99%

Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome

Zhu¹,

Mitra²,

Hemming³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Knowing the characteristics and cultivation requirements for the students in the teaching class, and combining them with the current hot interests and hobbies of students, to determine the self-perceived points of interest in application consciousness of mathematics. For instance, during the COVID-19 pandemic prevention and control period [9][10], teachers can provide the Bayesian inverse probability formula [11] from the probability theory course, and analyze the necessity of universal nucleic acid testing; To address the large amounts of parcels at the beginning of semester, the matrix theory can be utilized to allocate parcel pickup points reasonably. Broadening the condition formed by application consciousness of mathematics, and utilizing the concrete mathematical knowledge to solve problems, is beneficial to build up the ability of mathematical application.…”

Section: Mathematical Curriculum Literature Review Methodsmentioning

confidence: 99%

Cultivating the Mathematics Application Ability Based on the Literature Review Method

2023

joerai

View full text Add to dashboard Cite

As an important part of the higher education, the mathematics courses in university serve for cultivating the application consciousness and application ability of mathematics for university students. This paper clarifies the basic concept and characteristic of the application consciousness and application ability in the field of college mathematics, then analyzes the cultivation situation and existing problems, and finally proposes the cultivation approach of the application consciousness and application ability based on the literature review method. This method has the following characteristics: putting study into practice, all students involved, consciousness enhancement, ability improvement. Beneficial from the literature review training, most students improved a lot in the application consciousness and application ability of mathematics. After the second literature review training, almost all the students have the primary application consciousness and half of students have the primary application ability, which demonstrates the great advantage of literature review method in cultivating students" mathematics application consciousness and application ability.

show abstract

“…The jModel Test software v 2.0.1 was performed to choose the best-tted model based on the Akaike information criterion (AIC) [62]. For model comparison, the Bayes factor could estimate each model test and yield the best results with marginal likelihood estimated on the basis of Newton & Raftery method [63]. As implemented in BEAST package, the best-tted model was GTR (general time reversible) + Γ4 (gamma distribute rate variation) + I (proportion of invariant sites) + Lognormal relaxed uncorrelated clock and coalescent constant population models.…”

Section: Evolution Substitution Ratesmentioning

confidence: 99%

Evolution of codon usage in 2019-new coronavirus causing human infection

Yao

Guan

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: The recent emergence of viral pneumonia was caused by the novel coronavirus (SARS-Cov-2), which has spread to many countries and threated the global public health.Results: In the current study, we provide a primary evolutionary analysis based on the codon usage patterns of SARS-Cov-2 genome sequences. We employed bioinformatics technologies to measure the nucleotide compositions, the relative synonymous codon usage (RSCU), the codon adaptation index (CAI), and other indices. Our results reflected that there were some similarities of codon usage bias between SARS-Cov-2 and its natural reservoirs, suggesting that SARS-Cov-2 was tended to evolve its codon usage which was comparable to that of its hosts. Additionally, various degree of adaptation to the SARS-Cov-2 host and vector were estimated, even different genes have different codon adaptation to their reservoirs. We further suggested that SARS-Cov-2 isolates were evolving at a rapid substitution rate under their translation selection pressure of their hosts.Conclusions: The findings of the present study will provide help for the understanding of the elements leading to viral evolution and adaptation to reservoirs.

show abstract

Bayesian estimation of the average treatment effect on the treated using inverse weighting

Cited by 5 publications

References 49 publications

Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome

Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome

Cultivating the Mathematics Application Ability Based on the Literature Review Method

Evolution of codon usage in 2019-new coronavirus causing human infection

Contact Info

Product

Resources

About