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Principles of Applied Statistics
Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.
- GenresMathematics
214 pages, Paperback
First published July 28, 2011
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About the author
D.R. Cox
49 books2 followersSir David Roxbee Cox FRS, FBA is a prominent British statistician who is often credited as D.R. Cox in the literature.
Cox studied mathematics at St John's College, Cambridge and obtained his PhD from the University of Leeds in 1949, advised by Henry Daniels and Bernard Welch.
He was employed from 1944 to 1946 at the Royal Aircraft Establishment, from 1946 to 1950 at the Wool Industries Research Association in Leeds, and from 1950 to 1956 worked at the Statistical Laboratory at the University of Cambridge. From 1956 to 1966 he was Reader and then Professor of Statistics at Birkbeck College, London. In 1966, he took up the Chair position in Statistics at Imperial College London where he later became head of the mathematics department. In 1988 he became Warden of Nuffield College and a member of the Department of Statistics at Oxford University. He formally retired from these positions in 1994.
Cox has received numerous honorary doctorates. He has been awarded the Guy Medals in Silver (1961) and Gold (1973) of the Royal Statistical Society. He was elected Fellow of the Royal Society of London in 1973, was knighted by Queen Elizabeth II in 1985 and became an Honorary Fellow of the British Academy in 2000. He is a Foreign Associate of the US National Academy of Sciences and a foreign member of the Royal Danish Academy of Sciences and Letters. In 1990 he won the Kettering Prize and Gold Medal for Cancer Research for "the development of the Proportional Hazard Regression Model." In 2010 he was awarded the Copley Medal of the Royal Society "for his seminal contributions to the theory and applications of statistics." It is given for "outstanding achievements in research in any branch of science, and alternates between the physical sciences and the biological sciences". Awarded every year, the medal is the oldest Royal Society medal still being awarded, having first been given in 1731.
He has supervised, collaborated with, and encouraged many younger researchers now prominent in statistics. He has served as President of the Bernoulli Society, of the Royal Statistical Society, and of the International Statistical Institute. He is an Honorary Fellow of Nuffield College and St John's College, Cambridge, and is a member of the Department of Statistics at the University of Oxford.
He has made pioneering and important contributions to numerous areas of statistics and applied probability, of which the best known is perhaps the proportional hazards model, which is widely used in the analysis of survival data. An example is survival times in medical research that can be related to information about the patients such as age, diet or exposure to certain chemical substances. The Cox process was named after him.
In 1947 he married Joyce Drummond and they have four children and two grandchildren.
Cox studied mathematics at St John's College, Cambridge and obtained his PhD from the University of Leeds in 1949, advised by Henry Daniels and Bernard Welch.
He was employed from 1944 to 1946 at the Royal Aircraft Establishment, from 1946 to 1950 at the Wool Industries Research Association in Leeds, and from 1950 to 1956 worked at the Statistical Laboratory at the University of Cambridge. From 1956 to 1966 he was Reader and then Professor of Statistics at Birkbeck College, London. In 1966, he took up the Chair position in Statistics at Imperial College London where he later became head of the mathematics department. In 1988 he became Warden of Nuffield College and a member of the Department of Statistics at Oxford University. He formally retired from these positions in 1994.
Cox has received numerous honorary doctorates. He has been awarded the Guy Medals in Silver (1961) and Gold (1973) of the Royal Statistical Society. He was elected Fellow of the Royal Society of London in 1973, was knighted by Queen Elizabeth II in 1985 and became an Honorary Fellow of the British Academy in 2000. He is a Foreign Associate of the US National Academy of Sciences and a foreign member of the Royal Danish Academy of Sciences and Letters. In 1990 he won the Kettering Prize and Gold Medal for Cancer Research for "the development of the Proportional Hazard Regression Model." In 2010 he was awarded the Copley Medal of the Royal Society "for his seminal contributions to the theory and applications of statistics." It is given for "outstanding achievements in research in any branch of science, and alternates between the physical sciences and the biological sciences". Awarded every year, the medal is the oldest Royal Society medal still being awarded, having first been given in 1731.
He has supervised, collaborated with, and encouraged many younger researchers now prominent in statistics. He has served as President of the Bernoulli Society, of the Royal Statistical Society, and of the International Statistical Institute. He is an Honorary Fellow of Nuffield College and St John's College, Cambridge, and is a member of the Department of Statistics at the University of Oxford.
He has made pioneering and important contributions to numerous areas of statistics and applied probability, of which the best known is perhaps the proportional hazards model, which is widely used in the analysis of survival data. An example is survival times in medical research that can be related to information about the patients such as age, diet or exposure to certain chemical substances. The Cox process was named after him.
In 1947 he married Joyce Drummond and they have four children and two grandchildren.
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Displaying 1 - 2 of 2 reviews
November 20, 2015
I'm not really sure 'amazing' (which is how you 'translate' a 5 star rating, according to goodreads) is an accurate way to describe how I felt about this book, but it's a very nice publication and I had very few objections (minor quibbles) to the content covered. The coverage is very general in the sense that concepts covered apply to a very wide variety of research contexts. A lot more stuff could have been written about all specific topics covered in the book and a few topics (e.g. meta-analysis, sensitivity analysis, information criteria - the book thus didn't contain a single word about the latter topic) were arguably not given the attention they deserve, but I'm not sure it makes sense to criticize authors for not writing a different book. A lot of 'good stuff'/important observations are packed into this book despite/considering the relatively low page count.
It should probably be noted that this book is not for everyone - the authors note in their preface that: "We are writing partly for those working as applied statisticians, partly for subject-matter specialists using statistical ideas extensively in their work and partly for masters and doctoral students of statistics concerned with the relationship between the detailed methods and theory they are studying and the effective application of these ideas."
It should probably be noted that this book is not for everyone - the authors note in their preface that: "We are writing partly for those working as applied statisticians, partly for subject-matter specialists using statistical ideas extensively in their work and partly for masters and doctoral students of statistics concerned with the relationship between the detailed methods and theory they are studying and the effective application of these ideas."
March 6, 2025
Very difficult to read.
The examples in books are in short paragraph that author call illustration but are example heavy and little confortable to read.
The beginning of the firsts topic are confortable to read but the last topics done bored.
Two stars because the author make reference to topic analysis that are useful for me.
The examples in books are in short paragraph that author call illustration but are example heavy and little confortable to read.
The beginning of the firsts topic are confortable to read but the last topics done bored.
Two stars because the author make reference to topic analysis that are useful for me.
Displaying 1 - 2 of 2 reviews