Observational Studies by Paul R Rosenbaum
An Observational study is an empiric investigation of the effects caused by a treatment, policy, or intervention in which it is not possible to assign subjects at random to treatment or control, as would be done in a controlled experiment. Observational studies are common in most fields that study the effects of treatments on people. The second edition of Observational Studies is about 50 percent longer than the first edition, with many new examples and methods. There are new chapters on nonadditive models for treatment effects (Chapter 5) and planning observational studies (Chapter 11) and Chapter 9, on coherence, has been extensively rewritten. Paul R. Rosenbaum is Robert G. Putzel Professor, Department of Statistics, The Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association.-
The Elements of Statistical Learning
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Dragons of Winter Night
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Functional Data Analysis
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Time Series: Theory and Methods
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Modeling Discrete Time-to-Event Data
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Targeted Learning
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Models for Discrete Longitudinal Data
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Regression Modeling Strategies
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Targeted Learning in Data Science
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An Introduction to Sequential Monte Carlo
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Sampling Algorithms
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Modern Multidimensional Scaling
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Correlation Theory of Stationary and Related Random Functions
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Mathematical Statistics
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Breakthroughs in Statistics
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Annotated Readings in the History of Statistics
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Statistical Models Based on Counting Processes
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Hidden Markov Processes and Adaptive Filtering
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Design of Observational Studies
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Chaos: A Statistical Perspective
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A Comparison of the Bayesian and Frequentist Approaches to Estimation
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Smoothing Spline ANOVA Models
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Analysis of Neural Data
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Finite Mixture and Markov Switching Models
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The Gini Methodology
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Ten Projects in Applied Statistics
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Growth Curve Models and Statistical Diagnostics
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Statistical Methods in Software Engineering
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Gaussian and Non-Gaussian Linear Time Series and Random Fields
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Markov Bases in Algebraic Statistics
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Data
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A Course on Point Processes
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Shrinkage Estimation
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Theory of Statistics
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Bayesian and Frequentist Regression Methods
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A Statistical Model
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Prediction Theory for Finite Populations
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Tools for Statistical Inference
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Parameter Estimation and Hypothesis Testing in Spectral Analysis of Stationary Time Series
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ARMA Model Identification
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Statistical Design and Analysis for Intercropping Experiments
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Approximate Distributions of Order Statistics
"This second edition is about fifty percent larger than the originalThe flavour is the same. The book provides a thoughtful discussion, at a mathematical and conceptual level, of what can and cannot be learned from observational studies."
ISI Short Book Reviews, Vol. 22/2, August 2002
From reviews of the First Edition:
"A fascinating book which combines elegant theory with good practical advice on applications, including in-depth discussion of many interesting examples from diverse fields."
Short Book Reviews of the International Statistical Institute
"Observational Studies" will be extremely useful to researchers and graduate students in the biomedical and social sciences... The book is well written in an area where clarity is difficult... It will set a new standard for the analysis of observational studies."
Journal of the American Statistical Association
"Rosenbaum's text does a great job of merging the theoretical with the practical, and provides a nice resource for a broad range of researchers... Consultants and field researchers, particularly in public health, will appreciate the examples and discussion of different research designs."
The American Statistician
"Generously dispersed throughout the volume are fundamentally important, but seldom explicitly recognized, insights about the logic of research design. Virtually any reader will find much of value in this book, especially concerning design issues."
Applied Psychological Measurement
"In summary, Observational Studies is an excellent book. It should be widely and carefully read."
Journal of Educational and Behavioral Statistics
Paul R. Rosenbaum is the Robert G. Putzel Professor of Statistics at the Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association. In 2019, he received the R. A. Fisher Award, and in 2003 the George W. Snedecor Award, both from the Committee of Presidents of Statistical Societies (COPSS). He is the author of Observation and Experiment: An Introduction to Causal Inference (2017) and Observational Studies, 2nd edition (Springer 2002).
| SKU | Unavailable |
| ISBN 13 | 9781441931917 |
| ISBN 10 | 1441931910 |
| Title | Observational Studies |
| Author | Paul R Rosenbaum |
| Series | Springer Series In Statistics |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2010-12-01 |
| Number of pages | 377 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |