A Health Technology Assessment (HTA) systematically evaluates the properties and effects of a new medical device, to assess whether these effects will drive sufficient benefit to patients and wider society, relative to their cost.

Health Technology Assessment

  • Real-world evidence generation and evaluation

  • Service evaluation

  • Trial management

  • Evidence synthesis

  • Critical appraisal

  • GRADE approach

  • Qualitative research – questionnaires, interviews, focus groups

  • Systematic Reviews


Health Economic Modelling and Evaluation

Economic evidence review

  • Systematic literature review

  • data extraction of economic evidence,

  • presentation of results


Economic modelling

  • Early economic models

  • Decision tree models

  • Markov models

  • Budget impact models

  • Critique of existing models

  • Adaptation of economic models

  • Economic evaluation alongside clinical trials


Cost Analysis

  • economic impact analysis

  • cost allocation analysis

  • cost-benefit analysis

  • cost-effectiveness/consequences analysis.

Evaluation Trial Design and Facilitation

  • Meta-Analysis

  • Design of Experiments / Clinical Trials

    • Intervention studies, Case-control studies, Cohort studies, Consideration of confounding variables

  • Sampling Methods and Sample Size Calculation

    • Statistical power, Significance, P-value, MCMC, Bootstrap, ...

  • Data Collection

    • Full data collection services including database configuration, data quality checking and data cleaning.

  • Presentation and Visualization

    • Basis of exploratory analysis, Tables, Plots, ...

  • Descriptive Analysis

    • Central tendency, Dispersion, Skewness, Correlation

  • Modelling, Estimation and Simulation

    • Translation to a known structure, Transformation, Missing data, Point estimation, Interval estimation, Confidence interval, Goodness of Fit

  • Normal-Based Models and GLM

    • Regression, T-test, ANOVA, ANCOVA, Repeated ANOVA, Brownian motion, ..

  • Non-Parametric Statistics

    • Analogous to all parametric models and tests, Order-based statistics, The sign test, McNemar’s test, Wilcoxon test, Kruskal-Wallis test, Spearman’s correlation, ...

  • Dummy Variables / Biomarkers (0&1)

    • The majority of markers, Logistic models, Contingency tables, Odd ratio tests, Fisher’s exact test, Specificity, Sensitivity, ROC curve

  • Time-Series Models/latent growth curve models

    • Survival analysis, Time to event models, Longitudinal data, Stochastic processes, Time series, Multi-state models, Markovian models, ...

  • Survival Analysis

    • Kaplan-Meier plot, Log-rank test, Cox proportional hazard ratio, ...

  • Epidemiologic Models

    • Spatial, temporal and spatial-temporal models, Time series, Growth models, Prevalence, Incidence, Agent-based models, Reproduction number, Multistate models, Analysis of rates of change

  • Statistical Learning / AI methods

    • Neural network, Algorithm genetics, Clustering, Decision tree, Random forest, Gaussian networks, ...

  • Complex Models and Methods

    • Network modelling, High-dimensional data, Big data, Agent-based models, Genomic data, functional brain mapping models