Peter Cummings – författare

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology.Features: Compares and contrasts incidence rates with risks, odds, and hazards. Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for adjusted rate ratios and rate differences. Examines linear regression for rate differences with an emphasis on common problems. Gives methods for correcting confidence intervals. Illustrates problems related to collapsibility. Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations. Presents matched cohort methods in detail. Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa. Demonstrates instrumental variable methods. Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models. All data and analyses are in online Stata files which readers can download.Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology.Features: Compares and contrasts incidence rates with risks, odds, and hazards. Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for adjusted rate ratios and rate differences. Examines linear regression for rate differences with an emphasis on common problems. Gives methods for correcting confidence intervals. Illustrates problems related to collapsibility. Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations. Presents matched cohort methods in detail. Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa. Demonstrates instrumental variable methods. Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models. All data and analyses are in online Stata files which readers can download. Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology.

Features:

Compares and contrasts incidence rates with risks, odds, and hazards.

Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods

Describes Poisson regression methods for adjusted rate ratios and rate differences.

Examines linear regression for rate differences with an emphasis on common problems.

Gives methods for correcting confidence intervals.

Illustrates problems related to collapsibility.

Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations.

Presents matched cohort methods in detail.

Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa.

Demonstrates instrumental variable methods.

Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models.

All data and analyses are in online Stata files which readers can download.

Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology.

Features:

Compares and contrasts incidence rates with risks, odds, and hazards.

Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods

Describes Poisson regression methods for adjusted rate ratios and rate differences.

Examines linear regression for rate differences with an emphasis on common problems.

Gives methods for correcting confidence intervals.

Illustrates problems related to collapsibility.

Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations.

Presents matched cohort methods in detail.

Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa.

Demonstrates instrumental variable methods.

Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models.

All data and analyses are in online Stata files which readers can download.

Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.

In the twentieth-century, evidence-based injury prevention and control strategies have contributed to a substantial decline in the number of deaths associated with injury. However, researchers in the field of injury prevention have often gathered their study methods from other disciplines; it can be difficult for injury investigators to locate all of the research tools that can be applied to problems related to injury. Injury Control: A Guide to Research and Program Evaluation addresses the growing need for a comprehensive source of knowledge on all research designs available for injury control and research. Included in this accessible guidebook is information about choices in study design, details about study execution and discussion of specific tools such as injury severity scales, programme evaluations and systematic reviews. Epidemiologists, health service investigators, trauma surgeons and emergency medicine physicians will find this a useful source for understanding, reviewing and conducting research related to injuries.

In the twentieth-century, evidence-based injury prevention and control strategies have contributed to a substantial decline in the number of deaths associated with injury. However, researchers in the field of injury prevention have often gathered their study methods from other disciplines; it can be difficult for injury investigators to locate all of the research tools that can be applied to problems related to injury. Injury Control: A Guide to Research and Program Evaluation addresses the growing need for a comprehensive source of knowledge on all research designs available for injury control and research. Included in this accessible guidebook is information about choices in study design, details about study execution and discussion of specific tools such as injury severity scales, programme evaluations and systematic reviews. Epidemiologists, health service investigators, trauma surgeons and emergency medicine physicians will find this a useful source for understanding, reviewing and conducting research related to injuries.