Network meta-analysis (NMA) is becoming increasingly important, especially in the field of medicine, as it allows for comparisons across multiple trials with different interventions. For time-to-event data, that is, survival data, traditional NMA based on the proportional hazards (PH) assumption simply synthesizes reported hazard ratios (HRs). Novel methods for NMA based on the non-PH assumption have been proposed and implemented using R software. However, these methods often involve complex methodologies and require advanced programming skills, creating a barrier for many researchers. Therefore, we developed an R Shiny tool, NMAsurv (https://psurvivala.shinyapps.io/NMAsurv/). NMAsurv allows users with little or zero background in R to conduct survival-data-based NMA effortlessly. The tool supports various functions such as drawing network plots, testing the PH assumption, and building NMA models. Users can input either reconstructed pseudo-individual participant data or aggregated data. NMAsurv offers a user-friendly interface for extracting parameter estimations from various NMA models, including fractional polynomial, piecewise exponential models, parametric survival models, Cox PH model, and generalized gamma model. Additionally, it enables users to effortlessly create survival and HR plots. All operations can be performed by an intuitive “point-and-click” interface. In this study, we introduce all the functionalities and features of NMAsurv and demonstrate its application using a real-world NMA example.

Overexploitation of coastal aquifers may lead to seawater intrusion, which irreversibly degrades groundwater. The seawater intrusion process may imply that its consequences would not be perceptible until after decades of accumulated overexploitation. In such a dynamic setting, static externalities may enhance the users’ awareness about the resource's common nature, inducing more conservative individual behaviors. Aiming to evaluate this hypothesis, we experimentally test predictions from a dynamic game of substitutable common-pool resource (CPR) exploitation. The players have to decide whether to use a free private good or to extract from one of two costly CPRs. Our findings do not give substantial support to the initial conjecture. Nevertheless, the presence of static externalities does induce some kind of payoff reassurance strategies in the resource choice decisions, but these strategies do not correspond to the optimum benchmark.