Epidemiology with R
Author:   Bendix Carstensen (Steno Diabetes Center, Gentofte and Department of Biostatistics, University of Copenhagen, Denmark)
Publisher:   Oxford University Press
ISBN:  

9780198841326


Pages:   256
Publication Date:   31 December 2020
Format:   Hardback
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Epidemiology with R


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Author:   Bendix Carstensen (Steno Diabetes Center, Gentofte and Department of Biostatistics, University of Copenhagen, Denmark)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 19.50cm , Height: 1.90cm , Length: 25.40cm
Weight:   0.708kg
ISBN:  

9780198841326


ISBN 10:   0198841329
Pages:   256
Publication Date:   31 December 2020
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Preface Introduction 1: Using R 2: Measures of disease occurrence 3: Prevalence data- models, likelihood and binomial regression 4: Regression models 5: Analysis of follow-up data 6: Parametrization and prediction of rates 7: Case-control and case-cohort studies 8: Survival analysis 9: Do not group quantitative variables

Reviews

This volume will be useful to epidemiologists who are looking for a quick reference guide on how to practically use R in epidemiological research, particularly the Epi and survival packages. * Rose Saint Fleur-Calixte, Quarterly Review of Biology *


Author Information

Bendix Carstensen is a Senior Statistician in Clinical Epidemiology at the Steno Diabetes Center, Gentofte and an External Lecturer at the Department of Biostatistics, University of Copenhagen, Denmark. His expertise and interests are chiefly in the areas of Biostatistics, Epidemiology/Public Health and Diabetes Epidemiology.

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