ArticleNetwork science (Cambridge University Press)2014
Sampling Networks from Their Posterior Predictive Distribution.
Article in Network science (Cambridge University Press), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025Pooled it
- Framework for converting mechanistic network models to probabilistic models.Journal of complex networks · 2023Article
- Estimating contact network properties by integrating multiple data sources associated with infectious diseases.Statistics in medicine · 2023Article
- Article
- Network methods and design of randomized trials: Application to investigation of COVID-19 vaccination boosters.Clinical trials (London, England) · 2022Article
- Investigation of patient-sharing networks using a Bayesian network model selection approach for congruence class models.Statistics in medicine · 2021Article
- Dynamic Network Prediction.Network science (Cambridge University Press) · 2020Article
- Flexible model selection for mechanistic network models.Journal of complex networks · 2020Article
- A Bootstrap Method for Goodness of Fit and Model Selection with a Single Observed Network.Scientific reports · 2019Article
- Article
- Impact of degree truncation on the spread of a contagious process on networks.Network science (Cambridge University Press) · 2018Article
- Inference on network statistics by restricting to the network space: applications to sexual history data.Statistics in medicine · 2018Article
- Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population.Journal of causal inference · 2017Article
- THE GRAPHICAL STRUCTURE OF RESPONDENT-DRIVEN SAMPLING.Sociological methodology · 2016Article
- Incorporating Contact Network Structure in Cluster Randomized Trials.Scientific reports · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Recent research indicates that knowledge about social networks can be leveraged to increase efficiency of interventions (Valente, 2012). However, in many settings, there exists considerable uncertainty regarding the structure of the network. This can render the estimation of potential effects of network-based interventions difficult, as providing appropriate guidance to select interventions often requires a representation of the whole network. In order to make use of the network property estimates to simulate the effect of interventions, it may be beneficial to sample networks from an estimated posterior predictive distribution, which can be specified using a wide range of models. Sampling networks from a posterior predictive distribution of network properties ensures that the uncertainty about network property parameters is adequately captured. The tendency for relationships among network properties to exhibit sharp thresholds has important implications for understanding global network topology in the presence of uncertainty; therefore, it is essential to account for uncertainty. We provide detail needed to sample networks for the specific network properties of degree distribution, mixing frequency, and clustering. Our methods to generate networks are demonstrated using simulated data and data from the National Longitudinal Study of Adolescent Health.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.