Hot Research on Social Media
fnets: An R Package for Network Estimation and Forecasting via Factor-Adjusted VAR Modelling
The package fnets for the R language implements the suite of methodologies proposed by Barigozzi et al. (2022) for the network estimation and forecasting of high-dimensional time series under a factor-adjusted vector autoregressive model, which permits strong spatial and temporal correlations in the data.
Computation 62-04
Standardization allows for efficient unbiased estimation in observational studies and in indirect treatment comparisons: A comprehensive simulation study
We evaluate how inverse probability of treatment weighting (IPTW) and standardization-based approaches compare for obtaining marginal estimates of the odds-ratio and the hazards ratio.
Methodology
Improving Software Engineering in Biostatistics: Challenges and Opportunities
Code that is written needs to be readable to ensure reliable software.
Computation
Oncology clinical trial design planning based on a multistate model that jointly models progression-free and overall survival endpoints
The multistate model approach allows us to consider the joint distribution of the two endpoints and to derive quantities of interest as the correlation between overall survival and progression-free survival.
Applications Methodology
An Adaptive-Discard-Graph for online error control
Although the classical graphical procedure can be extended to the online setting, previous work has shown that it leads to low power, and other approaches, such as Adaptive-Discard (ADDIS) procedures, are preferred instead.
Methodology
