After a first phase where five subteams have written several publications (see publications) the working group now operates within seven task forces. Objectives and member rosters of these task forces are available below.

1 Clinical engagement

Lead: Stefan Englert (AbbVie)

Objective: Develop basic introductory material that can be used by all study team members to educate themselves on Oncology Estimands. Translate key messages from the working group activities to a non-statistical audience, targeting especially clinical functions.

Firstname Lastname Institution Location
Stefan Englert AbbVie Europe
Feng Liu AstraZeneca NorAm
Jonathan Siegel Bayer NorAm
Rui Tang Servier NorAm
Paul Bycott US NorAm

2 Principal stratification for treatment switching

Lead: character(0) character(0) (character(0))

Objective: NA

Firstname Lastname Institution Location

3 Patient-reported outcomes

Lead: Rachael Lawrence (Adelphi)

Objective: Clarify what questions are we answering with typical analyses conducted on HRQoL endpoints in regulatory clinical trials. We are going to consider longitudinal mixed models and time to event analyses initially; “mapping” potential common questions into the estimand framework. The task force is also going to dig into the question of “how to handle death” in HRQoL analyses. We are keen to build collaborative approaches with statisticians and others active in this topic area, such as SISAQoL and ISOQoL working groups.

Firstname Lastname Institution Location
Rachael Lawrence Adelphi Europe
Xiangning Huang AstraZeneca Europe
Konstantina Skaltsa IQVIA Europe
Antoine Regnault Modus Outcomes Europe
Evgeny Degtyarev Novartis Europe
Stephen Corson Phastar Europe
Johan Bring Statisticon Europe
Jonathan Siegel Bayer NorAm
Libby Floden Solutions NorAm
Stacie Hudgens Solutions NorAm

4 Duration of responses

Lead: Hans-Jochen Weber (Novartis)

Objective: Duration of response and also time to response are standard secondary endpoints in clinical studies in oncology. There are different approaches for analysis and often the clinical question to be addressed remains unclear. We contextualize the different approaches using the estimand framework and illustrate those with case studies. Finally we intend to present recommendations for analyses targeting relevant clinical questions.

Firstname Lastname Institution Location
Alex Todd AstraZeneca Europe
Martin-Oliver Sailer Boehringer Europe
Monica Hadi Evidera Europe
Hans-Jochen Weber Novartis Europe
Stephen Corson Phastar Europe
Francois Mercier Roche Europe
Jiang Li Beigene NorAm
Steven Sun J&J NorAm
Satrajit Roychoudhury Pfizer NorAm
Godwin Yung Roche NorAm

5 Quantification of follow-up

Lead: Kaspar Rufibach (Roche)

Objective: Follow up is very heterogeneously quantified in oncological clinical trials. Given the importance assigned to “amount of follow up” in general the objective of this task force is to describe various ways how follow up is typically quantified, study its properties and issue recommendations how to report follow up and how to interpret it.

Firstname Lastname Institution Location
Lynda Grinsted AstraZeneca Europe
Hans-Jochen Weber Novartis Europe
Kaspar Rufibach Roche Europe
Jiang Li Beigene NorAm
Jiangxiu Zhou GSK NorAm
Yue Shentu Merck NorAm
Cheng Zheng Zentalis NorAm

6 Real-world data and estimands

Lead: Evgeny Degtyarev (Novartis)

Objective: Illustrate the value and promote the use of target trial framework and estimand framework for design of comparisons including real-world data. The frameworks allows to clarify the definition of the causal question of interest ensuring alignment between the research objective and analysis. Its application in submission documents would facilitate regulatory review in a transparent and structured way.

Firstname Lastname Institution Location
Evgeny Degtyarev Novartis Europe
Lisa Hampson Novartis Europe
Feng Xiao AstraZeneca NorAm
Zhaohui Wang GSK NorAm
Rui Tang Servier NorAm
Jianchang Lin Takeda NorAm
Paul Bycott US NorAm
Cheng Zheng Zentalis NorAm

7 Conditional vs. marginal effects

Lead: Jiawei Wei (Novartis)

Objective: We would like to bring the complex concept and methods about conditional and marginal treatment effect into a simplified and interpretable way. Potential topics including adjusted or unadjusted analysis; stratified vs unstratified hazard ratio; collapsibility and subgroup; p-values; etc. We will give clinically relevant opinions and recommendations based on our interpretation, and illustrate the idea using some case studies.

Firstname Lastname Institution Location
Jiajun Xu J&J Asia
Jiawei Wei Novartis Asia
Ziqiang Zhao Novartis Asia
Björn Bornkamp Novartis Europe
Hong Tian Beigene NorAm
Satrajit Roychoudhury Pfizer NorAm

8 Time to event endpoints with prognostic or predictive biomarker subgroups

Lead: Yi Liu (Nektar)

Objective: Our goal is to understand various efficacy estimands of biomarker subgroups and its relationship to the overall population for binary and time-to-event endpoints. For continuous outcomes with difference of means as efficacy estimand, Least Square estimates from the full model containing treatment, subgroup, and its interaction term enable an unbiased estimation of efficacy for the overall population by linearly combining estimands of the two subgroups. Following the same process for binary or time-to-event efficacy estimands such as hazard ratio or odds ratio, although guaranteeing logical inference in appearance, does not lead to the correct efficacy estimand of the overall population. In fact, the correct HR (or OR) may be outside of the interval of subgroup HRs (or ORs) leading to illogical interpretations. The task force will investigate which efficacy measures are logic respecting on the population level and make recommendations on how to analyze real clinical trial data so that analysis results based on these efficacy measures will always be logical for either prognostic or predictive biomarkers.

Firstname Lastname Institution Location
Siyoen Kil LSK Global Pharma Services Asia
Martin-Oliver Sailer Boehringer Europe
Jiang Li Beigene NorAm
Hong Tian Beigene NorAm
Shoubhik Mondal Boehringer NorAm
Liwei Wang J&J NorAm
Yue Shentu Merck NorAm
Yi Liu Nektar NorAm
Miao Yang Nektar NorAm
Godwin Yung Roche NorAm

9 Early development estimand nexus (EDEN)

Lead: Francois Mercier (Roche)

Objective: In oncology Phase 1a (dose-escalation) and Phase 1b (expansion cohort) studies, the designs are complex because the objectives are often multiple and ambitious. Defining estimands and the associated estimators in this setting can be difficult. In this WG, we intend to implement the ICH-E9 addendum and to reflect on the challenges it presents in early clinical development studies. Such challenges may include: (1) absence of control group (2) varying dose, but also dosing schedule across treatment arms (a.k.a. cohorts) (3) presence of anti-drug antibody (ADA) (4) prophylactic treatment or co-medication for toxicity mitigation (e.g. using steroids) (5) compassionate within-patient dose escalation. The taskforce will give clinically relevant opinions and recommendations based on our analysis and interpretation of the selected case studies. Contact to other task forces will be sought based on need.

Firstname Lastname Institution Location
Stefan Englert AbbVie Europe
Elizabeth Pilling AstraZeneca Europe
Anja Victor Merck Europe
Christina Habermehl Merck Europe
Francois Mercier Roche Europe
Guillaume Lecorps Sanofi Europe
Frederic Dubois Servier Europe
Junxian Geng Boehringer NorAm
Natalia Kan-Dobrosky PPDI NorAm
Guillaume Lecorps Sanofi NorAm