WorldCat Identities

Hoaglin, David C. (David Caster) 1944-

Works: 65 works in 246 publications in 2 languages and 6,543 library holdings
Genres: Biography  Conference papers and proceedings  Methods (Music)  Records and correspondence  Autobiographies 
Roles: Editor, Author, Other, Interviewer
Classifications: QA276, 519.5
Publication Timeline
Most widely held works by David C Hoaglin
Understanding robust and exploratory data analysis by David C Hoaglin( Book )

27 editions published between 1982 and 2006 in English and held by 1,078 WorldCat member libraries worldwide

Stem-and-leaf displays; Letter values: a set of selected order statistics; boxplots and batch comparison; Transforming data; Resistant lines for versus; Analysis of two-way tables by medians; Examining residuals; Mathematical aspects of transformation; Introduction to more refined estimators; Comparing location estimators: trimmed means, medians, and trimean; M-estimators of location: an outline of the theory; Robust scale estimators and confidence intervals for location
Exploring data tables, trends, and shapes by David C Hoaglin( Book )

27 editions published between 1985 and 2011 in English and held by 1,039 WorldCat member libraries worldwide

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists
Fundamentals of exploratory analysis of variance by David C Hoaglin( Book )

17 editions published between 1991 and 2009 in English and held by 631 WorldCat member libraries worldwide

"The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions"--Publisher's website
Selected papers of Frederick Mosteller by Frederick Mosteller( )

17 editions published between 1981 and 2007 in English and German and held by 538 WorldCat member libraries worldwide

"Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume brings together 40 of his most original and influential papers, capturing the variety and depth of his writings. The editors hope to share these with a new generation of researchers, so that they can build upon his insights and efforts. This volume of selected papers is a companion to the earlier volume A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings."--Publisher's website
The pleasures of statistics : an autobiography of Frederick Mosteller by Frederick Mosteller( )

18 editions published in 2010 in English and held by 512 WorldCat member libraries worldwide

From his unique perspective, renowned statistician and educator Frederick Mosteller describes many of the projects and events in his long career. From humble beginnings in western Pennsylvania to becoming the founding chairman of Harvard University's Department of Statistics and beyond, he inspired many statisticians, scientists, and students with his unabashed pragmatism, creative thinking, and zest for both learning and teaching. This candid account offers fresh insights into the qualities that made Mosteller a superb teacher, a prolific scholar, a respected leader, and a valued advisor. A special feature of the book is its chapter-length insider accounts of work on the pre-election polls of 1948, statistical aspects of the Kinsey report on sexual behavior in the human male, mathematical learning theory, authorship of the disputed Federalist papers, safety of anesthetics, and a wide-ranging examination of the Coleman report on equality of educational opportunity. This volume is a companion to Selected Papers of Frederick Mosteller (Springer, 2006) and A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy (Springer-Verlag, 1990). Frederick Mosteller (1916-2006) was Roger I. Lee Professor of Mathematical Statistics at Harvard University. His manuscript was unfinished at his death and has been updated
Applications, basics, and computing of exploratory data analysis by Paul F Velleman( Book )

17 editions published between 1981 and 2004 in English and held by 502 WorldCat member libraries worldwide

Stem-and-left displays; Letter-value displays; Boxplots; x-y plotting; Resistant line; Smoothing data; Coded tables; Median polish; Rootograms; Computer graphics; Utility programs; Programming conventions; Minitab implementation; Appendices; Index
Data for decisions : information strategies for policymakers( Book )

8 editions published between 1982 and 1984 in English and held by 474 WorldCat member libraries worldwide

Present a basis for a reasoned assessment of the value of data gathered for a policy study, using criteria that can be applied to a completed study or
Perspectives on contemporary statistics( Book )

8 editions published in 1992 in English and held by 464 WorldCat member libraries worldwide

This book is a must for anyone who teaches statistics, particularly those who teach beginning statistics - mathematicians, social scientists, engineers - as well as graduate students and others new to the field. The authors focus on topics central to the teaching of statistics for beginners, and other expositions that are guided by the current state of statistical research and practice. Statistical practice has changed radically during the past generation under the impact of ever cheaper and more accessible computing power. Beginning instruction has lagged behind the evolution of the field. Software now enables students to shortcut unpleasant calculations, but this is only the most obvious consequences of changing statistical practice, the content and emphases of statistics instruction still needs much rethinking. This volume assembles nine new essays on important topics in present-day statistics at the college with various levels of mathematics preparation, and from diverse disciplinary backgrounds. Accordingly the chapters present modern perspectives on central aspects of statistics and emphasize the conceptual content that should accompany all varieties of beginning instruction. The books opens with a contemporary overview of statistics as the science of data - a view much broader than the "inference from data" emphasized by much traditional teaching. The next two chapters discuss the philosophy and some of the tools used in data analysis and describe the impact of computing on data analysis and inference and its implication for teaching. The book conlucdes with introductions to diagnostics and to the alternative approach embodied in resistent and robut procedures. -- from back cover
Medical uses of statistics by John C Bailar( Book )

15 editions published between 2009 and 2012 in English and held by 294 WorldCat member libraries worldwide

Co-published with the New England Journal of Medicine, this book provides both the fundamental techniques and the state-of-the-art information for a clear and current understanding of the use of statistics in the fields of medicine, biostatistics and clinical research. The first and second editions of this book, published over a span of a quarter of a century, has been widely praised as a unique contribution to the field by a gratifying number of readers. Arising from the idea that readers of medicine need a clearer idea of how statistical techniques can be applied in current clinical studies, the editors have reorganized, revamped, and added to an already cogent presentation of recent developments, applicable methods, and best practices in this valuable third edition. This book provides both the fundamental techniques and the state-of-the-art information for a clear and current understanding of the use of statistics in the fields of medicine, biostatistics and clinical research
National survey of WIC participants by Nancy Cole( )

2 editions published in 2001 in English and held by 228 WorldCat member libraries worldwide

How to detect and handle outliers by Boris Iglewicz( Book )

4 editions published in 1993 in English and held by 115 WorldCat member libraries worldwide

Evaluating the Hunger Prevention Act quality control reforms by Gregory B Mills( Book )

2 editions published in 1991 in English and held by 107 WorldCat member libraries worldwide

Monte Carlo techniques in studying robust estimators by David C Hoaglin( )

5 editions published in 1973 in English and held by 73 WorldCat member libraries worldwide

Recent work on robust estimation has led to many procedures, which are easy to formulate and straightforward to program but difficult to study analytically. In such circumstances experimental sampling is quite attractive, but the variety and complexity of both estimators and sampling situations make effective Monte Carlo techniques essential. This discussion examines problems, techniques, and results and draws on examples in studies of robust location and robust regression
Implementing and Documenting Random Number Generators by David C Hoaglin( )

3 editions published in 1975 in English and held by 71 WorldCat member libraries worldwide

"As simulation arid Monte Carlo continue to play an increasing role in statistical research, careful attention must be given to problems which arise in implementing and documenting collect ions of random number generators. This paper examines the value of theoretical as well as empirical evidence in establishing the quality of generators, the selection of generators to comprise a good basic set, the techniques and efficiency of implementation, and the extent of documentation. Illustrative examples are drawn from various current sources"--NBER website
Bivariate normal offset circle, probability tables with offset ellipse transformations by C Groenewoud( Book )

5 editions published in 1967 in English and held by 62 WorldCat member libraries worldwide

Proceedings of the Ninth Interface Symposium on Computer Science and Statistics, Harvard University, Massachusetts Institute of Technology, April 1-2, 1976 by Interface Symposium on Computer Science and Statistics( Book )

3 editions published in 1976 in English and held by 62 WorldCat member libraries worldwide

A statistical model : Frederick Mosteller's contributions to statistics, science, and public policy by Stephen E Fienberg( )

3 editions published in 1990 in English and held by 59 WorldCat member libraries worldwide

A large number of Mostellar's friends, colleagues, collaborators, and former students have contributed to the preparation of this volume in honor of his 70th birthday. It provides a critical assessment of Mosteller's professional and research contributions to the field of statistics and its applications
Notes on Automating Stem and Leaf Displays( )

2 editions published in 1975 in English and held by 55 WorldCat member libraries worldwide

The stem-and-leaf display is a natural semi-graphic technique to include in statistical computing systems. This paper discusses the choices involved in implementing both automated and flexible versions of the display, develops an algorithm for the automated version, examines various implementation considerations, and presents a set of semi-portable FORTRAN subroutines for producing stem-and-leaf displays
Evaluating practices and developing tools for comparative effectiveness reviews of diagnostic test accuracy : methods for the joint meta-analysis of multiple tests by Thomas A Trikalinos( )

1 edition published in 2013 in English and held by 36 WorldCat member libraries worldwide

BACKGROUND: Existing methods for meta-analysis of diagnostic test accuracy focus primarily on a single index test rather than comparing two or more tests that have been applied to the same patients in paired designs. OBJECTIVES: We develop novel methods for the joint meta-analysis of studies of diagnostic accuracy that compare two or more tests on the same participants. DEVELOPMENT OF METHODS: We extend the bivariate meta-analysis method proposed by Reitsma et al. (J Clin Epidemiol. 2005; 58[10]:982-90) and modified by others to simultaneously meta-analyze M e 2 index tests. We derive and present formulas for calculating the within-study correlations between the true-positive rates (TPR, sensitivity) and between the false-positive rates (FPR, one minus specificity) of each test under study using data reported in the studies themselves. The proposed methods respect the natural grouping of data by studies, account for the within-study correlation between the TPR and the FPR of the tests (induced because tests are applied to the same participants), allow for between-study correlations between TPRs and FPRs (such as those induced by threshold effects), and calculate asymptotically correct confidence intervals for summary estimates and for differences between summary estimates. We develop algorithms in the frequentist and Bayesian settings, using approximate and discrete likelihoods to model testing data. APPLICATION: Published meta-analysis of 11 studies on the screening accuracy of detecting trisomy 21 (Down syndrome) in liveborn infants using two tests: shortened humerus (arm bone), and shortened femur (thigh bone). Secondary analyses included an additional 19 studies on shortened femur only. FINDINGS: In the application, separate and joint meta-analyses yielded very similar estimates. For example, in models using the discrete likelihood, the summary TPR for a shortened humerus was 35.3 percent (95% credible interval [CrI]: 26.9, 41.8%) with the novel method, and 37.9 percent (27.7 to 50.3%) when shortened humerus was analyzed on its own. The corresponding numbers for the summary FPR were 4.8 percent (2.8 to 7.5%) and 4.8 percent (3.0 to 7.4%). However, when calculating comparative accuracy, joint meta-analyses resulted in shorter confidence intervals compared with separate meta-analyses for each test. In analyses using the discrete likelihood, the difference in the summary TPRs is 0 percent (8.9, 9.5%; TPR higher for shortened humerus) with the novel method versus 2.6 percent (14.7, 19.8%) with separate meta-analyses. The standard deviation of the posterior distribution of the difference in TPR with joint meta-analyses is half of that with separate meta-analyses. CONCLUSIONS: The joint meta-analysis of multiple tests is feasible. It may be preferable over separate analyses for estimating measures of comparative accuracy of diagnostic tests. Simulation and empirical analyses are needed to better define the role of the proposed methodology
Empirical and simulation-Based comparison of univariate and multivariate meta-analysis for binary outcomes by Thomas A Trikalinos( )

1 edition published in 2013 in English and held by 35 WorldCat member libraries worldwide

BACKGROUND: Many questions in evidence-based medicine involve multiple outcomes. They can be approached with separate, independent meta-analyses, or they can be analyzed jointly, in a single model. We aimed to compare separate (univariate) with joint (multivariate) meta-analysis in real examples and in an illustrative simulation study. METHODS: We screened the whole Cochrane Library of Systematic Reviews (2012, first quarter) to identify sets of univariate meta-analyses of categorical outcomes that can also be analyzed jointly. Eligible were pairs or triplets of meta-analyses comparing the same interventions; having at least seven randomized controlled trials (RCTs) reporting all outcomes; and in which the numbers in the cross-classification of outcomes were exactly recoverable. Examples of outcomes with completely recoverable cross-classification include mutually exclusive outcomes, or sets of outcomes where the one is a subset of the other. We analyzed these data with univariate and multivariate meta-analysis. In an accompanying simulation study, we compared summary estimates and their standard errors with univariate and multivariate meta-analysis. RESULTS: We identified 45 pairs or triplets of binary meta-analyses corresponding to 1473 RCTs and 258,675 randomized patients. In 38 (of 45) topics the first outcome was a subset of the second outcome; in 5 topics pairs of outcomes were mutually exclusive, and in 2 topics triplets of outcomes had an is-subset-of relationship. The 45 topics pertained to various medical areas (e.g., cardiology, surgery, mental health). Overall, the summary effects for each outcome and the accompanying confidence/credible intervals were very similar with univariate and multivariate meta-analysis (both using the approximate and the discrete likelihood). However, univariate and multivariate approaches yield different confidence/credible intervals for the difference between the summary effects of distinct outcomes (e.g., the difference in the log odds ratio for the first outcome minus the log odds ratio for the second outcome). Depending on the estimated covariance between the compared effects, the multivariate methods can yield tighter or wider confidence intervals than univariate methods. Most likely, systematic review conclusions from the meta-analyses in the empirical sample would remain qualitatively the same with either method of analysis. The simulation analyses were congruent with the aforementioned observations from the empirical analyses. CONCLUSIONS: In the empirical sample and the simulation study, the numerical difference in the summary effects and their confidence intervals between univariate and multivariate meta-analysis was almost always small. In practice, in many (if not most) cases, conclusions based on the main effects of each outcome are likely to remain similar with either method. In principle, multivariate meta-analysis utilizes more information through the correlations; therefore, when possible, it is commendable to use both univariate and multivariate approaches in a sensitivity analysis. Multivariate meta-analysis should be preferred over univariate meta-analysis for estimating differences between outcome-specific summary treatment effects
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Understanding robust and exploratory data analysis
Exploring data tables, trends, and shapesFundamentals of exploratory analysis of varianceSelected papers of Frederick MostellerThe pleasures of statistics : an autobiography of Frederick MostellerPerspectives on contemporary statisticsMedical uses of statisticsHow to detect and handle outliers
Alternative Names
Hoaglin, D. C.

Hoaglin, D. C. 1944-

Hoaglin, D. C. (David C.), 1944-

Hoaglin, D. C. (David Caster), 1944-

Hoaglin, David C.

Hoaglin, David C. 1944-

Hoaglin, David C. (David Caster)

Hoaglin, David Caster 1944-

Hoagling, David C.

Hoagling, David C. (David Caster)

English (184)

German (1)