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Everything we can do, organised by when it is needed
The whole catalogue, grouped by the stage of the project at which each service is usually needed. If you would rather we pointed you in the right direction than browse it all, start from your situation in “By your needs”.
Design a study
A study is won or lost before the first data point is collected.
Biostatistics for academic and pragmatic clinical trialsStatistical design and analysis of trials, from the sample size calculation to the final reportView service →Bayesian inference for small-sample studiesWhen the sample size is too small for a frequentist analysis: prior knowledge built into the model and direct probabilities about the clinical hypothesisView service →Health surveysPopulation representativeness through probability sampling designsView service →Analysis of nutrition intervention studiesDesign and analysis of studies that measure the effect of a dietary intervention on healthView service →Psychometrics and validation of health scales and questionnairesValidate the instrument and analyse what it measures: reliability, clinical scales and patient-reported outcomesView service →Study design and statistical protocolsMethodology is decided before the first data point is collected, not afterView service →
This path brings together 6 services; the page explains them in context and says which comes before which.See the full path →
Prepare your data
Before analysing, the data have to be in good shape.
Data traceability and forensic watermarkingInvisible watermarking, unique to each recipient, that lets you attribute the source of a leaked datasetView service →Health data anonymisationA framework of categories, verifiable thresholds and decision trees that puts formal bounds on re-identification riskView service →Data quality and health database preparationBefore analysing a database, you need to know what it contains and what you can trustView service →Synthetic population generationData that reproduce the statistical properties of a real population without containing a single real personView service →
This path brings together 4 services; the page explains them in context and says which comes before which.See the full path →
I have data and don't know where to start
You already have the data. The question is what to do with them.
Multivariate and biomarker analysisIdentification and validation of diagnostic, prognostic and predictive biomarkersView service →Biostatistical analysis for clinical research and publicationFrom study design to the publishable table: biostatistical support so that your research stands up to reviewersView service →Causal inference and observational study designDesign and analysis with a causal approach, to answer questions about the effects of interventions, exposures and policies when randomisation is not possibleView service →Causal mediation and moderation analysisDecomposing causal mechanisms to understand not only whether a factor influences an outcome, but how and under what conditions it does soView service →Clinical risk predictionAnticipating deterioration for early interventionView service →Longitudinal data analysisFrom repeated measurements over time to an understanding of how things changeView service →Meta-analysis and quantitative evidence synthesisRigorous statistical analysis for systematic reviews: from the data extraction table to forest plots, heterogeneity assessment, publication bias and meta-regressionView service →Network and relationship analysisWhen what matters is not the nodes, but how they connectView service →Applied bioinformatics and omics data analysisFrom sequencing data to integration with the rest of your studyView service →Patient journey and care pathway analysisHow patients move between states, where their trajectory changes and where follow-up is lostView service →Patient stratificationClinical segmentation for personalised medicineView service →Real-world evidence (RWE)Evidence of effectiveness in routine clinical practiceView service →Methodological second opinionAn expert review of your analysis before it goes out for peer reviewView service →Survival analysis and clinical outcomesTime-to-event analysis for clinical prognosisView service →Time series analysis and forecastingCharacterising the signal and forecasting with intervals: trend, seasonality, ARIMA and modern model familiesView service →
This path brings together 15 services; the page explains them in context and says which comes before which.See the full path →
Find out what works
Did what you did work? And what is worth changing?
Profile segmentation and adoption modellingWho will respond to the intervention, in what order and to what degree, before you roll it outView service →Burden of diseaseIntegrated mortality and morbidity metrics for clinical decisionsView service →Clinical benchmarkingObjective measurement of clinical performanceView service →Ex ante modelling of interventionsBefore you roll out an intervention, estimate the change you can expect and how uncertain it isView service →Ex post evaluation of health interventionsWe evaluate the observed effect of an intervention already in place against a defensible counterfactual scenarioView service →Economic evaluation of health interventionsCost-effectiveness and cost-utility models with probabilistic sensitivity analysis to inform funding, health policy and market access decisionsView service →Cost-efficiency analysisResource optimisation without compromising qualityView service →Patient flowOperational analysis to reduce overcrowdingView service →Scenario simulation and policy evaluationWhat happens under each configuration of an intervention, estimated before it is implementedView service →
This path brings together 9 services; the page explains them in context and says which comes before which.See the full path →
Monitor populations and places
Understand what is happening to a population before it becomes a headline.
Bibliometrics and research output analysisQuantitative mapping of research fields through network analysis, term co-occurrence, topic modelling and sentiment analysis of the scientific literatureView service →Population dietary intake estimationFrom food consumption surveys to actual nutrient intake, by population subgroupView service →Geospatial analysisIdentifying geographical patternsView service →Health inequalitiesQuantifying health gaps between social groupsView service →Text mining and NLP for health textExtracting knowledge from unstructured text: scientific abstracts, clinical documentation, intervention records and research corporaView service →Epidemiological surveillanceContinuous indicator monitoring and statistical detection of deviationsView service →Search-based infodemiologyComplementary epidemiological surveillance based on web search behaviourView service →Social determinantsStructural factors that shape population healthView service →Social media and digital infodemiologyMonitoring narratives, misinformation and the spread of health information on digital platformsView service →
This path brings together 9 services; the page explains them in context and says which comes before which.See the full path →
Communicate results
You have results. Now others need to be able to use them.
Reproducible reports and scientific reportingA report regenerated from the analysis, not from copy and pasteView service →Scientific visualisation and data storytellingEvidence only helps you decide when it is understoodView service →Shiny apps and interactive toolsAnalytical models within reach of the people who decide with themView service →
This path brings together 3 services; the page explains them in context and says which comes before which.See the full path →
Not sure which one you need?
Tell us what stage your project is at and we will tell you what fits, or whether nothing does.