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Data

Unlock Data Insights with Exploratory Analysis

Learn how Analytics on Demand is designed to fit your data set needs, help you ask the right questions, and generate value and evidence-based insights.

Video: The Curious Case of the Costly Complication

Investigate and follow the data

Access Optum® data with the flexibility to explore which data sources might support your organization’s research questions and discover information that may lead to new insights and questions.

Project types include:

  • Straightforward access to Optum data sets
  • Optum experts on standby to support your organization’s broad, critical questions with data through rapid analytics
  • Flexible research projects with access to methodological and therapeutic area experts, for example, feasibility exploration and hypothesis analytics

Gain valuable insights with efficiency and flexibility

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Expert analytics on your terms

With vast data sets and endless potential in life sciences research, it’s natural for some hypotheses to remain untested and some data to go unexplored. 

Initial exploratory analysis can help inform a decision or a larger study.

Experienced statisticians and programmers

Our team of master’s- and PhD-trained statisticians average 12 years of experience in observational and clinical research. Our programmers average 20 years’ experience in many data sources and are proficient in languages such as SAS®, Stata®, VBA and R.

Key benefits

Create an analysis plan to meet research goals flexibly when a formal protocol and publication is more than you need.

Trust a well-practiced team

Collaborate with highly skilled statisticians and programmers that know Optum data inside and out.

Confidently explore new ideas

Apply the same scientific standards and rigor that drive Optum health economics and outcomes research (HEOR) studies.

Collaborate across health care sectors

Take your analysis to the next level with Optum Life Sciences data linkages and research consulting to generate insights across your product’s lifecycle.

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Implement Analytics on Demand in a variety of ways

  • Put your licensed Optum data to work to support your analytics teams’ discovery
  • Implement an existing protocol
  • Generate an existing hypothesis or inform internal questions
  • Link data elements beyond existing licensed assets with compliance approval
  • Dig into a research question further than existing analytics tools can allow

Develop or finalize your broader studies

Analytics include:

  • Population segmentation
  • Standardization
  • Incidence and prevalence
  • Kaplan-Meier curves

Cost analysis includes:

  • Cost distributions
  • Cost segmentation
  • Outlier effects
  • Log-gamma models
  • Lin’s regression
  • Cumulative cost curves

Predictive analytics include:

  • High-dimensional propensity analysis
  • Classification and regression trees
  • Risk stratification
  • Machine learning

Capabilities for censored and missing data include:

  • Survival analysis
  • Time-varying covariates
  • Competing risks
  • Multiple imputation techniques
  • Sensitivity methods

Capabilities for longitudinal and clustered data include:

  • Time-series
  • Difference-in-difference
  • Hierarchical models
  • Random effects models
  • Structural equation modeling

Capabilities for casual inference include:

  • Inverse probability weighting
  • Marginal structural models
  • Instrumental variable analysis 
  • Regression discontinuity

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Complementary solutions

Strengthen Your Value Story with HEOR

Tap into our expertise in health economics and outcomes research.

Engage Payers with Value-Based Contracts

Generate valuable evidence, leverage real-world data and analytics and track clinical outcomes over time.

Generate Evidence with Real-World Data

Derive evidence from the unmatched depth and scale of our data assets.