Linden Consulting Group logo  
Linden Consulting Group
Home
About us
Publications
Statistical Software
Upcoming Events
Links
Clients
Contact us

With over 25 years of experience in medical - healthcare research and management, we can help you design, implement, and evaluate

  • Medical management, disease management and health promotion programs
  • Medical home model, accountable care organizations
  • Clinical quality improvement initiatives, operational processes
  • Government, accreditation, and contractual requirements
  • Financial planning and measurement
  • Most any other needs of today’s healthcare market

Awards and Recognition

  • "Leader in Disease Management" by Managed Healthcare Executive
  • "Outstanding Journal Article" Award by Disease Management Association of America
  • "Best of Business" by the Small Business Commerce Association
Highlighted Publication
Linden A. A matching framework to improve causal inference in interrupted time series analysis. Journal of Evaluation in Clinical Practice DOI: 10.1111/jep
Linden A, Yarnold PR. Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weighting. Journal of Evaluation in Clinical Practice DOI: 10.1111/jep.12859
Linden A, Yarnold PR. Identifying causal mechanisms in health care interventions using classification tree analysis. Journal of Evaluation in Clinical Practice DOI: 10.1111/jep.12848
Linden A, Yarnold PR. Minimizing imbalances on patient characteristics between treatment groups in randomized trials using classification tree analysis. Journal of Evaluation in Clinical Practice DOI: 10.1111/jep.12792
Linden A, Yarnold PR. Modeling time-to-event (survival) data using classification tree analysis. Journal of Evaluation in Clinical Practice DOI:10.1111/jep.12779
Linden A, Yarnold PR. Using classification tree analysis to generate propensity score weights. Journal of Evaluation in Clinical Practice 2017;23:703-712.
Linden A. Improving causal inference with a doubly robust estimator that combines propensity score stratification and weighting. Journal of Evaluation in Clinical Practice 2017;23:697-702.
Linden A. A comparison of approaches for stratifying on the propensity score to reduce bias. Journal of Evaluation in Clinical Practice 2017;23:690-696.
Linden A. A comprehensive set of post-estimation measures to enrich interrupted time series analysis. Stata Journal 2017;17:73-88.
Linden A. Persistent threats to validity in single-group interrupted time series analysis with a crossover design. Journal of Evaluation in Clinical Practice 2017;23:419-425.
Linden A. Challenges to validity in single-group interrupted time series analysis. Journal of Evaluation in Clinical Practice 2017;23:413-418.
designed by: Homer Gaines
© 2003-2017 Linden Consulting Group, LLC