The notions of individual and collective ethics were first explicitly defined in the biostatistical literature in 1971 to motivate a mathematical solution to a posed ethical dilemma. This paper reviews key antecedents to these concepts and traces explicit references to them over time, primarily in the biostatistical literature. Following a historical exposition of these texts, a critical thematic analysis shows the following: the normative force of these concepts has not been adequately argued. Individual and collective ethics do not solve the (...) problem of how to use accumulating data to inform ethical action. The notions of the "individual" and the "collective" are too vague to prompt clear moral imperatives, especially in difficult cases. These concepts have not been successfully linked to a standard ethical framework. Finally, the paper concludes with the observation that a systematic, comprehensive ethical framework must be identified to fulfill the intuitions behind individual and collective ethics. (shrink)

This review examines the state of Bayesian thinking as Statistics in Medicine was launched in 1982, reflecting particularly on its applicability and uses in medical research. It then looks at each subsequent five-year epoch, with a focus on papers appearing in Statistics in Medicine , putting these in the context of major developments in Bayesian thinking and computation with reference to important books, landmark meetings and seminal papers. It charts the growth of Bayesian statistics as it is applied to medicine (...) and makes predictions for the future. From sparse beginnings, where Bayesian statistics was barely mentioned, Bayesian statistics has now permeated all the major areas of medical statistics, including clinical trials, epidemiology, meta-analyses and evidence synthesis, spatial modelling, longitudinal modelling, survival modelling, molecular genetics and decision-making in respect of new technologies. (shrink)

: When may a physician legitimately offer enrollment in a randomized clinical trial (RCT) to her patient? Two answers to this question have had a profound impact on the research ethics literature. Equipoise, as originated by Charles Fried, which we term Fried's equipoise (FE), stipulates that a physician may offer trial enrollment to her patient only when the physician is genuinely uncertain as to the preferred treatment. Clinical equipoise (CE), originated by Benjamin Freedman, requires that there exist a state of (...) honest, professional disagreement in the community of expert practitioners as to the preferred treatment. FE and CE are widely understood as competing concepts. We argue that FE and CE offer separable and, in themselves, incomplete justifications for the conduct of clinical trials. FE articulates conditions under which the fiduciary duties of physician to patient may be upheld in the conduct of research. CE sets out a standard for the social approval of research by institutional review boards. Viewed in this way, FE and CE are not necessarily competing notions, but rather address complementary moral concerns. (shrink)