Case studies

Ten problems, and the methods that solved them

Each of these was a real engagement. Clients are not named and no identifying detail is published, so what is described is the statistical problem — which is the part that shows whether a consultancy knows what it is doing.

Browse

By sector and by method

Sectors

CommercialEducationHealthcareLife sciencesManufacturingPublic servicesResearchThird sector

Methods

Dimensionality reduction and clusteringFactor analysis and ordinal regressionFramework analysisGeneralised linear mixed modelsLinear mixed effects modelsMeta-analysisMultilevel modellingReflexive thematic analysisSurvival analysisTime series forecasting

All case studies

Ten engagements

Healthcare · Survival analysis

Cox Proportional Hazards Modelling to Identify Patients Most at Risk of Readmission

Modelling time-to-event rather than event-or-not, so a large public sector organisation could target risk assessment where it mattered.

Life sciences · Linear mixed effects models

Linear Mixed Effects Models for an Intervention Measured Over Six Occasions

Recovering a defensible effect estimate from repeated measures with missing follow-up, where repeated measures ANOVA could not be used.

Third sector · Factor analysis and ordinal regression

Exploratory Factor Analysis and Ordinal Regression on a National Survey

Reducing 75 overlapping questionnaire items to interpretable factors, then modelling an ordinal outcome correctly.

Education · Multilevel modelling

Multilevel Modelling of Student Performance Across Twenty Departments

Accounting for students clustered within courses and departments, where ignoring the hierarchy would have manufactured significance.

Public services · Time series forecasting

Seasonal ARIMA Forecasting with Intervention Analysis for Resource Planning

Twelve years of monthly demand with seasonality, trend and structural breaks — where simple smoothing methods failed consistently.

Commercial · Dimensionality reduction and clustering

Principal Component Analysis and K-Means Clustering for Customer Segmentation

Finding stable segments in 90,000 customer records with no predefined categories and heavily correlated behavioural variables.

Research · Meta-analysis

Random Effects Meta-analysis of Forty-Five Published Studies

Combining heterogeneous evidence into a defensible overall estimate, with publication bias investigated rather than assumed away.

Manufacturing · Generalised linear mixed models

Generalised Linear Mixed Models to Identify the Drivers of Production Defects

A quarter of a million production records across six lines and two years, where univariate analysis could not separate interacting process variables.

Healthcare · Reflexive thematic analysis

Reflexive Thematic Analysis of Forty-Five Staff and Service User Interviews

Building a transparent coding framework across 700 pages of transcripts, where the aim was interpretation rather than counting.

Public services · Framework analysis

Framework Analysis Comparing Perspectives Across Several Stakeholder Groups

Thirty interviews and eight focus groups from groups using different vocabulary, compared without flattening what made each distinct.

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