Open AccessBook
Applied Logistic Regression
David W. Hosmer,Stanley Lemeshow +1 more
TLDR
Hosmer and Lemeshow as discussed by the authors provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets.Abstract:
From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models... Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."- Choice "Well written, clearly organized, and comprehensive... the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent." - Contemporary Sociology "An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."-The Statistician In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.read more
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Journal ArticleDOI
Genetic polymorphisms in folate metabolism and the risk of stomach cancer
Fang Fang Zhang,Fang Fang Zhang,Mary Beth Terry,Lifang Hou,Jinbo Chen,Jolanta Lissowska,Jolanta Lissowska,Meredith Yeager,Witold Zatonski,Stephen J. Chanock,Alfredo Morabia,Wong Ho Chow +11 more
TL;DR: This study did not identify strong genetic determinants in the folate metabolism pathway for stomach cancer risk, and did not find significant interactions between polymorphisms in MTHFR, MTR, and MTRR genes and dietary folate and alcohol consumption.
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Comparing the importance of prognostic factors in Cox and logistic regression using SAS
Georg Heinze,Michael Schemper +1 more
TL;DR: Two SAS macro programs are presented that evaluate the relative importance of prognostic factors in the proportional hazards regression model and in the logistic regression model.
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Diarrheagenic Escherichia coli and Acute and Persistent Diarrhea in Returned Travelers
Constance Schultsz,J Van den Ende,Frank Cobelens,T. Vervoort,A Van Gompel,Jose C. F. M. Wetsteyn,Jacob Dankert +6 more
TL;DR: The presence of ETEC strains is associated with acute but not with persistent diarrhea, and ETEC and EAggEC are frequently detected in returned travelers with diarrhea.
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Prospective Validation of a Prognostic Model for Respiratory Syncytial Virus Bronchiolitis in Late Preterm Infants : A Multicenter Birth Cohort Study
TL;DR: The authors' prospectively validated prediction rule identifies infants at increased RSV hospitalization risk, who may benefit from targeted preventive interventions and can facilitate country-specific, cost-effective use of RSV prophylaxis in late preterm infants.
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Breast Cancer Risk Perception, Benefits of and Barriers to Mammography Adherence Among a Group of Iranian Women
TL;DR: The study concludes that health care professionals must provide women with more fear appeals that outline vulnerability to developing breast cancer, remove cognitive barriers to seeking mammography, and apply effective guidance on the participation of women in breast cancer screening programs.