The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Estimands for Repeated Continuous Outcomes

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  • Discussion on Oliver's Career
  • Estimates for Repeated Continuous Outcomes
  • Response to Ting's Article
  • Defining Estimates
  • Discussion on Treatment Policy
  • Treatment Policy and Intent-to-Treat Analysis
  • Hypothetical Strategy
  • Communication Challenges:
  • One Patient, One Vote Concept
  • Last Observation Analysis
  • Communication of Statistical Approaches

We invite statisticians to reflect on the evolving landscape of estimands, encouraging thoughtful consideration of estimation techniques and a deeper exploration of causal inference in clinical trials. The journey through this nuanced statistical terrain unfolds, offering valuable insights for both seasoned professionals and newcomers to the field.

Reference: Wright et al 2023 Response to Ting

Role play reference:

  1. Keene ON, Ruberg S, Schacht A, Akacha M, Lawrance R, Berglind A, Wright D. What matters most? Different stakeholder perspectives on estimands for an invented case study in COPD. Pharmaceutical Statistics. 2020 Jul;19(4):370-87. https://pubmed.ncbi.nlm.nih.gov/31919979/

Other references:

  1. Naitee Ting (2023) Emerging insights and commentaries – MMRM vs LOCF, Journal of Biopharmaceutical Statistics, 33:2, 253-255, DOI: 10.1080/10543406.2023.2184828

  2. https://www.tandfonline.com/doi/abs/10.1080/10543406.2023.2184828

  3. Wright D, Bratton DJ, Drury T, Keene ON, Rehal S, White IR. Response to Comment on” Emerging insights and commentaries–MMRM vs LOCF by Naitee Ting”. Journal of Biopharmaceutical Statistics. 2023 Sep 23:1-3.

  1. Keene ON. Adherence, per-protocol effects, and the estimands framework. Pharmaceutical Statistics. 2023;1‐4. doi:10.1002/pst.232

  2. Keene ON. Intent-to-treat analysis in the presence of off-treatment or missing data. Pharmaceutical Statistics 2011, 10:191–195, doi: 10.1002/pst.421.

  3. Keene ON, Wright D, Phillips A, Wright M. Why ITT analysis is not always the answer for estimating treatment effects in clinical trials. Contemporary Clinical Trials. 2021 Sep 1;108:106494.

  4. Keene ON, Lynggaard H, Englert S, Lanius V, Wright D. Why estimands are needed to define treatment effects in clinical trials. BMC Medicine. 2023 Jul 27;21(1):276.


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About this podcast

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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