Timothy L. Lash's Books

Modern Epidemiology

By: Timothy L. Lash,Tyler J. VanderWeele,Sebastien Haneause,Kenneth Rothman

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Modern Epidemiology

By: Timothy L. Lash,Tyler J. VanderWeele,Sebastien Haneause,Kenneth Rothman

Now in a fully revised Fourth Edition, Modern Epidemiology remains the gold standard text in this complex and evolving field. This edition continues to provide comprehensive coverage of the principles and methods for the design, analysis, and interpretation of epidemiologic research. Featuring a new format allowing space for margin notes, this edition • Reflects both the conceptual development of this evolving science and the increasing role that epidemiology plays in improving public health and medicine. • Features new coverage of methods such as agent-based modeling, quasi-experimental designs, mediation analysis, and causal modeling. • Updates coverage of methods such as concepts of interaction, bias analysis, and time-varying designs and analysis. • Continues to cover the full breadth of epidemiologic methods and concepts, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, field methods, surveillance, ecologic designs, and use of secondary data sources. • Includes data analysis topics such as Bayesian analysis, probabilistic bias analysis, time-to-event analysis, and an extensive overview of modern regression methods including logistic and survival regression, splines, longitudinal and cluster-correlated/hierarchical data analysis, propensity scores and other scoring methods, and marginal structural models. • Summarizes the history, specialized aspects, and future directions of topical areas, including among others social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, psychiatric epidemiology, injury and violence epidemiology, and pharmacoepidemiology.

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1340

Publisher

Lippincott Williams & Wilkins

Published Date

ISBN 10

1975166280

ISBN 13

9781975166281

Applying Quantitative Bias Analysis to Epidemiologic Data

By: Matthew P. Fox,Richard F. MacLehose,Timothy L. Lash

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Applying Quantitative Bias Analysis to Epidemiologic Data

By: Matthew P. Fox,Richard F. MacLehose,Timothy L. Lash

This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods. As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing: Measurement error pertaining to continuous and polytomous variables Methods surrounding person-time (rate) data Bias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices.

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Page Count

475

Publisher

Springer Nature

Published Date

ISBN 10

3030826732

ISBN 13

9783030826734

Applying Quantitative Bias Analysis to Epidemiologic Data

By: Timothy L. Lash,Matthew P. Fox,Aliza K. Fink

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Applying Quantitative Bias Analysis to Epidemiologic Data

By: Timothy L. Lash,Matthew P. Fox,Aliza K. Fink

Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.

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200

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Springer Science & Business Media

Published Date

ISBN 10

0387879595

ISBN 13

9780387879598

Modern Epidemiology

By: Kenneth J. Rothman,Sander Greenland,Timothy L. Lash

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Modern Epidemiology

By: Kenneth J. Rothman,Sander Greenland,Timothy L. Lash

The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design, field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology.

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Page Count

776

Publisher

Lippincott Williams & Wilkins

Published Date

ISBN 10

0781755646

ISBN 13

9780781755641

Applying Quantitative Bias Analysis to Epidemiologic Data

By: Timothy L. Lash,Matthew P. Fox,Aliza K. Fink

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Applying Quantitative Bias Analysis to Epidemiologic Data

By: Timothy L. Lash,Matthew P. Fox,Aliza K. Fink

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200

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Springer Science & Business Media

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ISBN 10

0387879595

ISBN 13

9780387879598

Book's by Timothy L. Lash

Modern Epidemiology

Modern Epidemiology

Applying Quantitative Bias Analysis to Epidemiologic Data

Applying Quantitative Bias Analysis to Epidemiologic Data

Applying Quantitative Bias Analysis to Epidemiologic Data

Applying Quantitative Bias Analysis to Epidemiologic Data

Modern Epidemiology

Modern Epidemiology

Applying Quantitative Bias Analysis to Epidemiologic Data

Applying Quantitative Bias Analysis to Epidemiologic Data

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