Sub-teams

Published

March 21, 2026

The working group operates within regional and topic sub-teams. Objectives and member rosters of these sub-teams are available below.

Regional Subteams

North America

Lead: Elena Polverejan (J&J), Patrick Darken (AstraZeneca)

Objective:

  • Regional regulatory and guideline expertise
  • Expansion of network and outreach
  • Case study and practical application development
Name Company Function Type
Xinyu Tang Amgen Statistician Full
Stephen Ruberg Analytix Thinking Statistician Full
Patrick Darken AstraZeneca Statistician Full
Jonathan Fintzi BMS Statistician Full
Bohdana Ratitch Bayer Statistician Full
Adrian Coles Biogen Statistician Full
Chrissie Fletcher GSK Statistician Full
Lisa Rodriguez GSK Statistician Full
Catherine Njue Health Canada Statistician Full
Elena Polverejan J&J Statistician Full
Yongming Qu Lilly Statistician Full
Jay Park McMaster Univ, Canada Statistician Full
Liyi Jia Merck Statistician Full
Bharani Dharan Novartis Statistician Full
Jared Christensen Pfizer Statistician Full
Brian Wiens Rivus Pharma Statistician Full
Jiao Yang Sanofi Statistician Full
Kevin Gan ViiV Statistician Full

China

Lead: Jiawei Wie (Novartis)

Objective:

  • Contribute China-specific regulatory and clinical practice perspectives
  • Develop and share practical case studies and implementation examples
  • Promote cross-functional understanding and adoption of the estimand framework
  • Collaborate on harmonized methodological and operational recommendations
Name Company Function Type
Chen Lu Amgen Statistician Full
Zhiyue Huang Astellas Statistician Full
Alice Wang AstraZeneca Statistician Full
Wentian Guo AstraZeneca Statistician Full
Leslie Meng Boehringer-Ingelheim Statistician Full
Longshen Xie Brilliant Pharmaceutical Statistician Full
Jingjun Qiu FosunPharma Statistician Full
Cui Xiong GSK Statistician Full
Xue Yang J&J Statistician Full
Yuhan Huang J&J Statistician Full
Zhiwei Jiang KeyTech Statistician Full
Hongying Li Lilly Statistician Full
Jiawei Wie Novartis Statistician Full
Xiaoling Wei Novartis Statistician Full
Yankun Gong Pfizer Statistician Full
Xin Zhang Pfizer Statistician Full
Jiayu Fu Zai Lab Statistician Full
Wenting Li dMed Biopharmaceutical Co. Statistician Full

Topic Subteams

Communications

Lead: Stefan Englert (J&J)

Objective:

  • Establish an EIWG teams site for efficient communication and collaborative working
  • Homepage with working group updates and estimand resources, hosted and managed by the EIWG
  • PSI session on estimand thinking and statistical leadership
Name Company Function Type
Chun-Hang Tang Astellas Statistician Full
Stefano Vezzoli Chiesi Statistician Full
Stefan Englert J&J Statistician Full

RWE and HTA

Lead: Lotte Husemoen (Novo Nordisk), Emmanuelle Boutmy (Merck)

Objective:

  • The working group will advance understanding and application of ICH E9 (R1) estimand attributes throughout the clinical development lifecycle and real-world evidence (RWE) generation, ensuring effective integration into research and development (R&D) planning, health technology assessments (HTA) including joint clinical assessments (JCA), and regulatory frameworks.
  • Establish Estimands as Foundation for R&D Planning and Causal Inference:
    • Assess current utilization of estimands in regulatory and HTA processes and identify improvement opportunities.
    • Link Estimands to Causal Inference Framework: Emphasize that well-defined estimands articulate the causal question of interest, guiding the selection of appropriate study designs, statistical methods, and target trial emulation (TTE) approaches for decision making.
    • Clarify strategic goals for RWD use in R&D: When, why, and how should RWD be incorporated to achieve robust clinical development programs?
    • Address transportability and generalizability between clinical trials and RWD settings, ensuring estimands reflect realistic treatment effects across diverse populations and care settings.
    • Embed estimand thinking in all phases of drug development, from early clinical planning through late-stage studies.
  • Foster Scientific Dialogue and Cross-Industry Collaboration:
    • Facilitate collaboration among industry stakeholders, regulators, and HTA bodies to share insights and experiences on estimands in clinical development, RWE studies, and value assessments.
    • Establish standardized guidance (e.g., white paper) for applying estimands—emphasizing principles over prescriptive approaches—for uniform adoption by researchers, statisticians, and regulatory bodies.
    • Encourage ongoing scientific discussions on the value and implications of estimands, causal inference, target trial emulation, and the strategic integration of RWD across the R&D lifecycle.
Name Company Function Type
Antonia Morga Astellas Statistician Full
Matthew Knowles Astellas Statistician Extended
Alexandra Lauer Boehringer-Ingelheim Statistician Full
Alessandro Ghiretti Daiichi Sankyo Statistician Extended
Ilse Van Dromme J&J Statistician Extended
Khadija Rantell MHRA Statistician Full
Emmanuelle Boutmy Merck Statistician Extended
Antonio Remiro-Azocar Novo Nordisk Statistician Extended
Pepa Polavieja Novo Nordisk Statistician Full
Lotte Husemoen Novo Nordisk Statistician Extended
Barbara Rosettani Roche Statistician Extended
Tatsiana Vaitsiakhovich Sanofi Statistician Extended

Reporting

Lead: Vivian Lanius (UCB)

Objective:

  • Paper on the reporting of estimands and intercurrent events in clinical study reports, submitted in Nov 2024, published
  • Continue collaboration with NIH on the reporting of estimands on “Clinicaltrials.gov”:
    • Achieve agreement with NIH based on our proposals
    • Provide further clarification as needed and support creation of examples
    • Issue a white paper on best practices
Name Company Function Type
Barbara Glocker Bayer Medical Writing Extended
Suvi Rajamaki Bayer Medical Writing Extended
Franco Mendolia Bayer Statistician Full
Federica Cavallo Bayer Medical Writing Extended
Chrissie Fletcher GSK Statistician Full
Daniel Bratton GSK Statistician Full
Melanie Wright Novartis Statistician Full
Francesca Callegari Novartis Statistician Full
Edith Küpper Staburo Disclosure Manager Extended
Maarten van Dijk Staburo Disclosure Manager + Medical Writing Extended
Gabriele Bleckert Staburo Statistician Extended
Vivian Lanius UCB Statistician Full
Christian Loesch UCB Statistician Full

Estimation

Lead: James Bell (Elderbrook)

Objective:

  • Publication on treatment policy estimation
  • Publication on estimation for continuous endpoints where an intercurrent event is handled using the composite strategy
Name Company Function Type
David Wright AstraZeneca Statistician Full
Marian Mitroiu Biogen Statistician Extended
Lorenzo Guizzaro EMA Statistician Full
James Bell Elderbrook Statistician Full
Thomas Drury GSK Statistician Extended
Oliver Keene Independent Statistician Full
Khadija Rantell MHRA Statistician Full
Tobias Muetze Novartis Statistician Extended
Christian Bressen Pipper Novo Nordisk Statistician Full
Marcel Wolbers Roche Statistician Extended

Non-inferiority

Lead: Helle Lynggaard (Novo Nordisk)

Objective:

  • PSI session on estimands in non-inferiority trials
  • First paper published
  • Paper initiated on case studies illustrating challenges discussed in first paper
Name Company Function Type
David Wright AstraZeneca Statistician Full
Nazanin Haseli-Mashhadi Bayer Statistician Extended
Florian Lasch EMA Statistician Extended
Amel Besseghir Fortrea Statistician Full
Chrissie Fletcher GSK Statistician Full
Sunita Rehal GSK Statistician Extended
Oliver Keene Independent Statistician Full
Christoph Helwig Merck Statistician Extended
Tobias Muetze Novartis Statistician Extended
Helle Lynggaard Novo Nordisk Statistician Full
Chien-Ju Lin Roche Statistician Extended
Qing Wang Roche Statistician Extended
Claudia Hemmelmann Sandoz Statistician Extended
Susmit Sekhar Sandoz Statistician Extended
Vivian Lanius UCB Statistician Full
Brennan Kahan UCL Statistician Full

Training

Lead: Sue McKendrick (PPD)

Objective:

  • To enhance understanding of the estimand framework and its practical implementation across various roles in clinical trials, including clinicians, regulators, investigators, academics, members of ethics committees, health technology assessors and statisticians.
  • To utilize case studies as a means to illustrate real-world applications of the estimand framework, thereby fostering a deeper comprehension of its relevance and impact on clinical trial design, conduct, and interpretation.
Name Company Function Type
David Wright AstraZeneca Statistician Full
Helle Lynggaard Novo Nordisk Statistician Full
Sue McKendrick PPD Statistician Full
Anna Robertson Pfizer Statistician Full
Judith Anzures-Cabrera Roche Statistician Full

Intercurrent event

Lead: Brennan Kahan (UCL)

Objective:

  • Continue to identify areas of uncertainty around how the different intercurrent event strategies may be interpreted
  • Identify areas of uncertainty around whether certain events meet the definition of an intercurrent event
  • Identify and begin to implement appropriate strategies to reduce this uncertainty, e.g. through training materials, a possible publication, or feeding back to the ICH E9(R1) creators
Name Company Function Type
Armin Schueler BfArM Statistician Full
Juan Jose Abellan Andres EMA Statistician Extended
James Bell Elderbrook Statistician Full
Chrissie Fletcher GSK Statistician Full
Stefan Englert J&J Statistician Full
Khadija Rantell MHRA Statistician Full
Helle Lynggaard Novo Nordisk Statistician Full
Sue McKendrick PPD Statistician Full
Beatrice Panico Scendea Statistician Full
Christian Loesch UCB Statistician Full
Brennan Kahan UCL Statistician Full

Estimands in Early Phase [I/II] & Clinical Pharmacology Studies

Lead: Chun-Hang Tang (Astellas)

Objective:

  • Develop a case study for implementing estimands for a dose-ranging (Ph2b) study
  • Develop a case study with focus on clinical pharmacology studies in pregnant and breast-feeding women
  • Input into guidance around implementing estimands for patient-reported outcomes in early phase trials
  • Explore estimands for concentration modeling for PD effect (e.g., concentration-QTc).
Name Company Function Type
Chun-Hang Tang Astellas Statistician Full
David Wright AstraZeneca Statistician Full
Frauke Friedrichs Bayer Statistician Extended
Chrissie Fletcher GSK Statistician Full
Shuying Yang GSK Pharmacometrician Extended
Khadija Rantell MHRA Statistician Full
Essam Kerwash MHRA Pharmacometrician Extended
Helle Lynggaard Novo Nordisk Statistician Full
Margrete Due Thomsen Novo Nordisk Statistician Extended
Sue McKendrick PPD Statistician Full
Bilyana Dabin PPD Statistician Extended
Zara Ghodsi Pfizer Statistician Full
Beatrice Panico Scendea Statistician Full

Study Design

Lead: Daniel Bratton (GSK)

Objective:

  • Investigate the impact of estimands on trial design.
  • Develop approaches and guidance for aligning the design of a trial to its estimands.
Name Company Function Type
David Wright AstraZeneca Statistician Full
James Bell Elderbrook Statistician Full
Daniel Bratton GSK Statistician Full
Paul Terrill Independent Statistician Full
Simon Newsome Novartis Statistician Extended
Ian White UCL Statistician Full