COVID-19 and science advice on the 'Grand Stage': the metadata and linguistic choices in a scientific advisory groups' meeting minutes.

Science advice for governments attracted great scrutiny during the COVID-19 pandemic, with the public spotlight on institutions and individual experts-putting science advice on the 'Grand Stage'. A review of the academic literature identified transparency, a plurality of expertise, the science and policy 'boundary', and consensus whilst addressing uncertainty as key themes. The Scientific Advisory Group for Emergencies (SAGE) has been the primary provider of coordinated scientific and technical advice to the UK Government during emergencies since 2009.

A multistate model for early decision-making in oncology.

The development of oncology drugs progresses through multiple phases, where after each phase, a decision is made about whether to move a molecule forward. Early phase efficacy decisions are often made on the basis of single-arm studies based on a set of rules to define whether the tumor improves ("responds"), remains stable, or progresses (response evaluation criteria in solid tumors [RECIST]). These decision rules are implicitly assuming some form of surrogacy between tumor response and long-term endpoints like progression-free survival (PFS) or overall survival (OS).

Joint modeling of progression-free and overall survival and computation of correlation measures.

In this paper, we derive the joint distribution of progression-free and overall survival as a function of transition probabilities in a multistate model. No assumptions on copulae or latent event times are needed and the model is allowed to be non-Markov. From the joint distribution, statistics of interest can then be computed.