Statistics For
Health Technology Assessment

Quantics can support the complete health technology assessment submission process. We can help you to prepare publications for peer-reviewed journals or help you to use existing data to plan future trials.

Define Your Objective

Quantics can help you through the complete health technology assessment submission process. We can help you to prepare publications for peer-reviewed journals or help you to use existing data to plan future trials.

Health Technology Assessment Submission

Quantics can conduct meta-analyses, network meta-analyses, or survival analyses in line with specific health technology assessment agency guidelines such as the NICE Decision Support Unit Technical Support Documents. Alternatively, we can work to multinational guidelines such as those produced by EUnetHTA.

Publication

Quantics can prepare meta-analyses, network meta-analyses or survival analyses in line with peer-reviewed publication guidelines. For example, we can prepare meta-analyses to PRISMA guidelines or network meta-analyses to ISPOR and/or PRISMA NMA guidelines.

Planning Future Trials

Quantics can help you to use the results of meta-analyses and network meta-analyses so that the data from the new trials can be added easily to the Health Technology Assessment.

HTA pathway graphic

Systematic Review

Systematic review illustration
  • We have worked on several HTA projects with the team at Quantics, including network meta-analyses in preparation for submissions to HTA bodies such as NICE. We have had an excellent experience partnering with Quantics. They always deliver work in a timely manner, that is rigorous, appropriate and presented in a digestible format. Thanks to the team for their insights and hard work.
    Susan Edwards
    Roche

Network Meta-Analysis

Quantics can conduct meta-analyses to compare the efficacy, safety or tolerability of a pair of treatments. We can help with meta-analyses for all types of outcomes, including binary outcomes, continuous outcomes, or survival outcomes. This includes providing advice about selecting a methodology, assisting with the interpretation of results, and preparing figures and tables in line with regulatory guidance.

For the comparison of more than two treatments, Quantics can conduct Network Meta-Analyses (NMA). Methods for complex NMAs were first published in 2004 and since then the use of NMA has increased steadily. Network meta-analyses are now accepted as part of health technology assessments in many countries including England (NICE), France (Haute Autorité de Santé), Canada (Canadian Agency for Drugs and Technologies in Health) and Australia (Pharmaceutical Benefits Advisory Committee).

As well as health technology assessment submissions, network meta-analyses may be conducted to inform peer-reviewed publications or future clinical trials. Quantics can help you to ensure that your network meta-analysis is appropriate for the intended audience.

  • I would like to thank you again for the great work you did for this SR & meta-analysis. This is an important achievement for Danone to get this work published in a good journal of Gastroenterology.
    Denis Guyonnet, PhD
    Danone Nutricia Research

Review

Has an Appropriate Search Strategy been Applied?

Have Appropriate Statistical Methods been Used?

Have the Data been Extracted Appropriately?

Have the Results been Correctly Interpreted?

Survival Analysis

Economic Modelling

Quantics can provide economic modelling through our partnership program. We can provide economic models for a range of health care interventions. We have a wealth of experience delivering economic evaluations, model adaptations, cost-of-illness studies and theoretical research for our clients. Recent projects have included pharmaceuticals, medical devices, diagnostic technologies, surgical procedures and public health interventions.

In a review of a peer-reviewed publication Quantics identified that the use of inappropriate statistical methods lead to the conclusion that a competitor’s drug was more effective than our client’s drug. When the data were re-analysed using appropriate statistical methods, our analysis found no evidence of a difference between the treatments.

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