• Corpus ID: 246634857

Randomization Inference for Cluster-Randomized Test-Negative Designs with Application to Dengue Studies: Unbiased estimation, Partial compliance, and Stepped-wedge design

@inproceedings{Wang2022RandomizationIF,
  title={Randomization Inference for Cluster-Randomized Test-Negative Designs with Application to Dengue Studies: Unbiased estimation, Partial compliance, and Stepped-wedge design},
  author={Bingkai Wang and Suzanne M. Dufault and Dylan S. Small and Nicholas P. Jewell},
  year={2022}
}
In 2019, the World Health Organization identified dengue as one of the top ten global health threats. For the control of dengue, the Applying Wolbachia to Eliminate Dengue (AWED) study group conducted a cluster-randomized trial in Yogyakarta, Indonesia, and used a novel design, called the cluster-randomized test-negative design (CR-TND). This design can yield valid statistical inference with data collected by a passive surveillance system and thus has the advantage of cost-efficiency compared… 
1 Citations
Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness
TLDR
A novel approach is presented to identify and estimate vaccine effectiveness in the target population by carefully leveraging a pair of negative control exposure and outcome variables to account for potential hidden bias in TND studies.

References

SHOWING 1-10 OF 34 REFERENCES
Analysis of cluster-randomized test-negative designs: cluster-level methods.
TLDR
A cluster-randomized test-negative design that includes randomization of the intervention at a group level is introduced that is based on the randomization distribution induced by permuting intervention assignment across two sets of randomly selected clusters.
Cluster-Randomized Test-Negative Design Trials: A Novel and Efficient Method to Assess the Efficacy of Community-Level Dengue Interventions
TLDR
This work described a novel cluster-randomized trial methodology with a test-negative design (CR-TND), which offers advantages over traditional approaches and concluded that application of the test- negative design to certain cluster- randomized trials could increase their efficiency and ease of implementation.
Analysis of counts for cluster randomized trials: Negative controls and test‐negative designs
TLDR
The use of negative control counts are suggested as a method to remove, or reduce, this bias when there is differential ascertainment of counts across arms, a situation that may occur in CRTs that cannot implement blinded interventions.
A probability model for evaluating the bias and precision of influenza vaccine effectiveness estimates from case-control studies
TLDR
It is shown that when vaccination does not affect the probability of developing non-influenza ARI then VE estimates from test-negative design studies are unbiased even if vaccinees and non-vaccinees have different probabilities of seeking medical care against ARI, as long as the ratio of these probabilities is the same for illnesses resulting from influenza and nonfluenza infections.
The use of test-negative controls to monitor vaccine effectiveness: a systematic review of methodology.
TLDR
If vaccination reduces disease severity in breakthrough infections, particular care must be taken in interpreting vaccine effectiveness estimates from test-negative design studies, including studies on VE against influenza virus, rotavirus, and nine other pathogens.
The test-negative design for estimating influenza vaccine effectiveness.
Theoretical Basis of the Test-Negative Study Design for Assessment of Influenza Vaccine Effectiveness.
TLDR
Direct acyclic graphs are used to characterize potential biases in studies of influenza vaccine effectiveness using the test-negative design and show how studies using this design can avoid or minimize bias and where bias may be introduced with particular study design variations.
Invited Commentary: Beware the Test-Negative Design.
TLDR
The theoretical justification for use of the test-negative design, a common observational study design, in assessing the effectiveness of influenza vaccination is examined and the validity of inferences drawn from such studies is described.
Randomization Inference in a Group–Randomized Trial of Treatments for Depression
In the Prospect Study, in 10 pairs of two primary-care practices, one practice was picked at random to receive a “depression care manager” to treat its depressed patients. Randomization inference,
Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview
TLDR
This article provides a general model representation and regard various model extensions as alternative ways to characterize the secular trend, intervention effect, as well as sources of heterogeneity in the stepped wedge cluster randomized design.
...
...