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Book
xvi, 374 pages : illustrations ; 25 cm
  • A randomized trial
  • Structure
  • Causal inference in randomized experiments
  • Irrationality and polio
  • Between observational studies and experiments
  • Natural experiments
  • Elaborate theories
  • Quasi-experimental devices
  • Sensitivity to bias
  • Design sensitivity
  • Matching techniques
  • Biases from general dispositions
  • Instruments
  • Conclusion.
In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and methods through real-world examples.
(source: Nielsen Book Data)9780674975576 20170821
Law Library (Crown)
Book
xviii, 384 p. : ill. ; 25 cm.
  • Introduction.- Matching to control bias from measured covariates.- Addressing bias from covariates that were not measured.
  • (source: Nielsen Book Data)9781441912121 20160528
dx.doi.org SpringerLink
Science Library (Li and Ma)
Book
xiv, 375 p. ; 25 cm.
  • Observational Studies.- Randomized Experiments.- Overt Bias in Observational Studies.- Sensitivity to Hidden Bias.- Known Effects.- Multiple Reference Groups in Case-Referent Studies.- Multiple Control Groups.- Coherence and Focused Hypotheses.- Constructing Matched Sets and Strata.- Some Strategic Issues.
  • (source: Nielsen Book Data)9780387989679 20160609
A sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self- contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed, drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers will find this an invaluable companion in their work.
(source: Nielsen Book Data)9780387989679 20160609
Business Library
Book
xiv, 375 p. : ill. ; 24 cm.
  • Observational Studies.- Randomized Experiments.- Overt Bias in Observational Studies.- Sensitivity to Hidden Bias.- Known Effects.- Multiple Reference Groups in Case-Referent Studies.- Multiple Control Groups.- Coherence and Focused Hypotheses.- Constructing Matched Sets and Strata.- Some Strategic Issues.
  • (source: Nielsen Book Data)9780387989679 20160609
A sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self- contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed, drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers will find this an invaluable companion in their work.
(source: Nielsen Book Data)9780387989679 20160609
Science Library (Li and Ma)
Book
1 online resource (xiv, 377 pages).
  • Observational Studies * Randomized Experiments * Overt Bias in Observational Studies * Sensitivity to Hidden Bias * Models for Treatment Effects * Known Effects * Multiple Reference Groups in Case-Referent Studies * Multiple Control Groups * Coherence and Focused Hypotheses * Constructing Matched Sets and Strata * Planning An Observational Study * Some Strategic Issues.
  • (source: Nielsen Book Data)9781441931917 20160614
A sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self- contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed, drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers will find this an invaluable companion in their work.
(source: Nielsen Book Data)9781441931917 20160614
Book
1 online resource (xv, 230 pages).
  • Ch. 1. Observational Studies
  • Ch. 2. Randomized Experiments
  • Ch. 3. Overt Bias in Observational Studies
  • Ch. 4. Sensitivity to Hidden Bias
  • Ch. 5. Known Effects
  • Ch. 6. Multiple Reference Groups in Case-Referent Studies
  • Ch. 7. Multiple Control Groups
  • Ch. 8. Coherence and Focused Hypotheses
  • Ch. 9. Constructing Matched Sets and Strata
  • Ch. 10. Some Strategic Issues.
An observational study is an empirical investigation of the effects of treatments, policies or exposures. They differ from experiments in that the investigator cannot control the assignment of treatment to subjects. Scientists across a wide range of disciplines undertake such studies and the aim of this text is to provide a sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self-contained. Throughout, there are extended discussions of actual observational studies to illustrate the ideas discussed. These are drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programmes for students. As a result, many researchers involved in observational studies should find this a useful companion to their work.
(source: Nielsen Book Data)9780387944821 20160528
Book
xv, 230 pages ; 224 cm
Medical Library (Lane)
Book
v, 20 p. ; 28 cm.
Green Library
Book
721 p. : ill. ; 28 cm.
Green Library

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