Comments on “bootstrapping time series models”

We take issue with the main suggestion in Li and Maddala (LiMa) that bootstrapping residuals is always the preferred approach and question some of their guidelines. We show that it can be potentially misleading to mimic the autocovariance structure of residuals, since it can be very different from that of true errors. We emphasize that the residuals are sensitive to model misspecification and generally not a part of the information set. We make constructive suggestions and propose a semiparametric method.     

Changing times in pharmaceutical statistics: 1980–2000

Pharmaceutical statistics has changed significantly in the last twenty years. This paper reviews some of the changes in that time, from a past dominated by the P‐value to the present day. Although the last twenty years have seen significant improvements, statistical shortcomings are not a rarity, and the impact of the public perception of statistics, medicine and the pharmaceutical industry on pharmaceutical statistics is assessed. Copyright © 2002 John Wiley & Sons, Ltd.     

On Future Directions in Statistical Methodologies – Some Speculations

Abstract. We, as statisticians, are living in interesting times. New scientifically significant questions are waiting for our contributions, new data accumulate at a fast rate, and the rapid increase of computing power gives us unprecedented opportunities to meet these challenges. Yet, many members of our community are still turning the old wheel as if nothing dramatic had happened. There are ideas, methods and techniques which are commonly used but outdated and should be replaced by new ones. Can we expect to see, as has been suggested, a consolidation of statistical methodologies towards a new synthesis, or is perhaps an even wider separation and greater divergence the more likely scenario? In this talk these issues are discussed, and some conjectures and suggestions are made.