At Pulse Economics, we have the expertise in data and financial analysis, applied statistics and health economic modelling to extract valuable insights from datasets of all sizes and complexities. Your data holds the key to revolutionising healthcare and we’re here to help you unlock its full potential.

SOLUTIONS WE OFFER:

Statistical Analysis Plans: Our meticulous planning sets the foundation for comprehensive and methodologically sound statistical analyses. 

Descriptive and Inferential Statistics: We seamlessly combine descriptive statistics for data summarisation and inferential statistics for drawing meaningful conclusions from clinical study data.

Analyses of Individual Patient Data: For a granular understanding, we delve deep into individual patient data, meticulously dissecting trends, outliers, and patient-specific factors that can impact outcomes.

Indirect Comparisons: We excel in indirect comparisons, including sophisticated techniques like matching-adjusted indirect comparisons (MAICs) and network meta-analyses. These methods enhance the precision of comparative assessments.

Survival Analysis: We specialise in survival analysis models, which are particularly relevant when assessing time-to-event outcomes. These models are instrumental in understanding the dynamics of patient outcomes over time.

Meta-Analyses: We specialise in various meta-analysis types, including fixed-effect and random-effects models, network meta-analysis for comparative effectiveness, and Bayesian meta-analysis for informed decisions. Our expertise ensures your research benefits from the most fitting meta-analysis approach.

Regression Analysis: We undertake regression analysis to predict the value of the dependent variable based on the values of the independent variables. Types of regression analysis include linear regression, logistic regression, and Cox proportional-hazards regression.

Multivariate Analysis: In handling complex datasets, we leverage multivariate analysis techniques to unravel intricate relationships among variables. Multivariate analysis techniques include factor analysis, principal component analysis, discriminant analysis, and multivariate regression.

Health Economic Modelling/Evaluation: Our services encompass a range of advanced quantitative techniques, including:

• Decision Trees: We build decision trees that map out complex decision pathways, helping you visualise the choices and consequences of different healthcare strategies.
• Markov Modelling: Involve dividing the patient population into health states and modelling transitions between states as probabilistic events that occur at regular intervals (Markov cycles).  They are suitable for both acute and chronic conditions and can accommodate complex decision trees.
• Partitioned Survival Models: Often used for diseases with well-defined clinical stages and outcomes, such as cancer. They divide the disease progression into discrete stages and estimate transition probabilities between these stages.
• Discrete Event Simulation: Complex healthcare systems require advanced modelling. Our discrete event simulation models capture the intricate interactions and events within healthcare environments.
• Monte Carlo/Patient-Level Microsimulation: Microsimulation models simulate individual patients and track their health trajectories over time. These models consider individual-level characteristics and can capture heterogeneity in patient populations.  They are computationally intensive and may require more data than other modelling approaches.

Financial Modelling: Our comprehensive financial analysis team can support you in projecting real-world growth:

• Budget Impact Analyses: Our budget impact analyses evaluate the financial implications of healthcare interventions on the payer, offering insights into resource allocation.
• Financial Projections: We create detailed financial projections that consider revenue, and profitability, helping you understand the financial viability of your initiatives.
• Sensitivity Analysis: We conduct sensitivity analyses to assess the impact of various market variables and assumptions, providing you with a range of possible scenarios.

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