1 citations · 1 across the 4 of their papers we have counts for
5 papers
Does your cost-effectiveness model answer the question of interest? Marginal versus conditional inputs and transportability across populations
Jeroen P. Jansen, Harlan Campbell, Shannon Cope +2
Objectives: There has been increased appreciation of the differences between marginal and conditional estimates and different types of effect measures regarding their applicability…
Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence
Jeroen P Jansen
In network meta-analysis (NMA) of oncology time-to-event outcomes, there is growing recognition that progression-free survival (PFS) and overall survival (OS) are better synthesize…
Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
Harlan Campbell, Charles C. Margossian, Jeroen P. Jansen +1
Multilevel network meta-regression (ML-NMR) enables population-adjusted indirect treatment comparisons by combining individual patient data (IPD) with aggregate data. When individu…
Augmented two-stage estimation for treatment crossover in oncology trials: Leveraging external data for improved precision
Harlan Campbell, Nicholas Latimer, Jeroen P Jansen +1
Randomized controlled trials (RCTs) in oncology often allow control group participants to crossover to experimental treatments, a practice that, while often ethically necessary, co…
Estimating marginal treatment effects from observational studies and indirect treatment comparisons: When are standardization-based methods preferable to those based on propensity score weighting?
Harlan Campbell, Julie E Park, Jeroen P Jansen +1
In light of newly developed standardization methods, we evaluate, via simulation study, how propensity score weighting and standardization -based approaches compare for obtaining e…