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The Resource Regression methods in biostatistics : linear, logistic, survival, and repeated measures models, Eric Vittinghoff [and others]

Regression methods in biostatistics : linear, logistic, survival, and repeated measures models, Eric Vittinghoff [and others]

Label
Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
Title
Regression methods in biostatistics
Title remainder
linear, logistic, survival, and repeated measures models
Statement of responsibility
Eric Vittinghoff [and others]
Contributor
Subject
Language
eng
Summary
This new edition provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided. For many students and researchers learning to use these methods, this one book may be all they need to conduct and interpret multipredictor regression analyses. In the second edition, the authors have substantially expanded the core chapters, including new coverage of exact, ordinal, and multinomial logistic models, discrete time and competing risks survival models, within and between effects in longitudinal models, zero-inflated Poisson and negative binomial models, cross-validation for prediction model selection, directed acyclic graphs, and sample size, power and minimum detectable effect calculations; Stata code is also updated. In addition, there are new chapters on methods for strengthening causal inference, including propensity scores, marginal structural models, and instrumental variables, ¡and on methods for handling missing data, using maximum likelihood, multiple imputation, inverse weighting, and pattern mixture models. From the reviews of the first edition: "This book provides a unified introduction to the regression methods listed in the title ... The methods are well illustrated by data drawn from medical studies ... A real strength of this book is the careful discussion of issues common to all of the multipredictor methods covered." Journal of Biopharmaceutical Statistics, 2005 "This book is not just for biostatisticians. It is, in fact, a very good, and relatively nonmathematical, overview of multipredictor regression models. Although the examples are biologically oriented, they are generally easy to understand and follow ... I heartily recommend the book" Technometrics, February 2006 "Overall, the text provides an overview of regression methods that is particularly strong in its breadth of coverage and emphasis on insight in place of mathematical detail. As intended, this well-unified approach should appeal to students who learn conceptually and verbally." Journal of the American Statistical Association, March 2006
Member of
Cataloging source
GW5XE
Dewey number
570.1/5195
Index
index present
LC call number
QH323.5
LC item number
.R44 2012
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
NLM call number
WA 950
http://library.link/vocab/relatedWorkOrContributorName
Vittinghoff, Eric
Series statement
Statistics for biology and health,
http://library.link/vocab/subjectName
  • Biometry
  • Regression analysis
  • Biometry
  • Biostatistics
  • Regression Analysis
  • Statistics as Topic
  • NATURE
  • SCIENCE
  • SCIENCE
  • Biometry
  • Regression analysis
Label
Regression methods in biostatistics : linear, logistic, survival, and repeated measures models, Eric Vittinghoff [and others]
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Strengthening Causal Inference
  • Predictor Selection
  • Missing Data
  • Complex Surveys
  • Summary
  • Introduction
  • Exploratory and Descriptive Methods
  • Basic Statistical Methods
  • Linear Regression
  • Logistic Regression
  • Survival Analysis
  • Repeated Measures and Longitudinal Data Analysis
  • Generalized Linear Models
Control code
780441679
Dimensions
unknown
Edition
2nd ed.
Extent
1 online resource (xx, 509 pages).
File format
unknown
Form of item
online
Isbn
9781461413530
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 9786613711038
  • 10.1007/978-1-4614-1353-0
http://library.link/vocab/ext/overdrive/overdriveId
371103
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)780441679
Label
Regression methods in biostatistics : linear, logistic, survival, and repeated measures models, Eric Vittinghoff [and others]
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Strengthening Causal Inference
  • Predictor Selection
  • Missing Data
  • Complex Surveys
  • Summary
  • Introduction
  • Exploratory and Descriptive Methods
  • Basic Statistical Methods
  • Linear Regression
  • Logistic Regression
  • Survival Analysis
  • Repeated Measures and Longitudinal Data Analysis
  • Generalized Linear Models
Control code
780441679
Dimensions
unknown
Edition
2nd ed.
Extent
1 online resource (xx, 509 pages).
File format
unknown
Form of item
online
Isbn
9781461413530
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 9786613711038
  • 10.1007/978-1-4614-1353-0
http://library.link/vocab/ext/overdrive/overdriveId
371103
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)780441679

Library Locations

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      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
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