Evidence Synthesis
Clinical trials should begin and end with assessing relevant previous research of pertinent evidence. Evidence synthesis is a way of combining information from multiple studies that have investigated the same thing to come to an overall understanding of what they found. Heno renders a full range of evidence synthesis services to help companies solve a research question of interest.
Systematic Literature Review
Many systematic literature reviews do not provide appropriate summaries or are outdated. Our Researcher’s reviews use explicit methods aimed at minimizing bias to produce more reliable findings that can be used to inform decision-making. Whether your research questions attempt to provide a foundation of knowledge, identify inconstancies, or additional research, Heno renders a full range of systematic literature services to help companies solve research questions with accurate data and adequate summaries.
Meta-Analysis
If your objective is to create new hypotheses to inspire future clinical studies, provide a precise estimate of the effects of an intervention, or overcome the limitations of small sample sizes, Heno uses advanced methods to simultaneously analyze multiple interventions, outcomes, and study designs; these combined findings provide a deep understanding of the data collected from more than one trial.
Indirect Treatment Comparisons and Network Meta-Analyses
If your objective is to create new hypotheses to inspire future clinical studies, provide a more precise estimate of the effects of an intervention, or overcome the limitations of small sample sizes, Heno uses advanced methods to simultaneously analyze multiple interventions, outcomes, and study designs; these combined findings provide a deep understanding of the data collected from more than one trial.
Multivariate Network Meta-Analysis of Survival Function Parameters
When dealing with survival data in Network meta-analysis (NMA), the proportional hazard assumption has been increasingly challenged, especially in oncology. Heno uses advanced methods such as the fractional polynomial NMA model to tackle this issue which has been used in HTA submissions, including the exponential, Weibull, Gompertz, log-normal, and log-logistic.
Population-Adjusted Indirect Comparisons
(matching adjusted indirect comparisons and simulated treatments comparisons)
A standard methodology for indirect comparisons is now used routinely in submissions. We have supervised hundreds of network meta-analysis studies that included population-adjusted indirect comparisons by using individual patient data (IPD) in a subset of trials to control for imbalances in “baseline characteristics” in the trial evidence.