Statistician

Abstract: (2003). Applied Multivariate Statistics for the Social Sciences. The American Statistician: Vol. 57, No. 1, pp. 68-69.

Abstract: Observations in the form of point events occurring in a continuum, space or time, arise in many fields of study. In writing this monograph on statistical techniques for dealing with such data, we have three objectives. First, we have tried to give a simple description, with numerical examples, of the main methods that have been proposed. We hope that by concentrating on the examples the applied statistician with a limited inclination for theory will find something of practical value in the monograph. Second, the monograph is intended as a survey, necessarily incomplete, of some of the problems in theoretical statistics that stem from this sort of data. A number of specialized subjects have, however, been dealt with only briefly, the main emphasis being placed on the problem of examining the structure of a series of events. Finally, we hope that the monograph will be of use to teachers and students of statistics, as illustrating applications of a range of tech niques in theoretical statistics. We are extremely grateful to the International Business Machines Corporation for providing programming assistance and a large amount of computer time. We wish to thank particularly Mr A."

Abstract: This book complements the first volume in the series, on case-control studies, and the two together provide a comprehensive account of the analysis of the major types of study in cancer epidemiology. In addition, this volume has a chapter on study design, covering both the case-control and cohort approach. The scope ranges from an account of the elementary and descriptive approaches to cohort analysis to the fitting of regression models for incidence rates with general risk functions. Particular attention is given to the use of a case-control approach embedded in a cohort study. As in the first volume, all the methods described are illustrated by examples from real studies, and the data from these studies are provided in appendices to enable the reader to go through the computations themselves. The book is intended for the medical epidemiologist with an interest in the quantitative aspects of the subject, and the statistician who is looking for a reasonably complete development of the statistical concepts and methods in current use in this area of epidemiology, as well as medical epidemiologists; statisticians; oncologists; students in biostatistics and related fields.

Abstract: For a long time I have thought I was a statistician, interested in inferences from the particular to the general. But as I have watched mathematical statistics evolve, I have had cause to wonder and to doubt. And when I have pondered about why such techniques as the spectrum analysis of time series have proved so useful, it has become clear that their “dealing with fluctuations” aspects are, in many circumstances, of lesser importance than the aspects that would already have been required to deal effectively with the simpler case of very extensive data, where fluctuations would no longer be a problem. All in all, I have come to feel that my central interest is in data analysis, which I take to include, among other things: procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data.