Biostatistics for epidemiology and public health using R / Bertram K. C. Chan.

Format:

Book

Author/Creator:

Chan, B. K. C. (Bertram Kim-Cheong), author.

Language:

English

Subjects (All):

Biometry.

Epidemiology.

Programming languages (Electronic computers).

Public health.

R (Computer program language).

Physical Description:

1 online resource (460 p.)

Edition:

1st ed.

Place of Publication:

New York, New York : Springer Publishing Company, 2016.

Language Note:

English

Summary:

Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output.In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its.

Contents:

Cover; Title; Copyright; Contents; Preface; Share Biostatistics for Epidemiology and Public Health Using R; Chapter 1: Introduction; 1.1 Medicine, Preventive Medicine, Public Health, and Epidemiology; Medicine; Preventive Medicine and Public Health; Public Health and Epidemiology; Review Questions for Section 1.1; 1.2 Personal Health and Public Health; Personal Health Versus Public Health; Review Questions for Section 1.2; 1.3 Research and Measurements in EPDM and PH; EPDM: The Basic Science of PH; Main Epidemiologic Functions; The Cause of Diseases; Exposure Measurement in Epidemiology

Additional IssuesReview Questions for Section 1.3; 1.4 BIOS and EPDM; Review Questions for Section 1.4; References; Chapter 2: Research and Design in Epidemiology and Public Health; Introduction; 2.1 Causation and Association in Epidemiology and Public Health; The Bradford-Hill Criteria for Causation and Association in Epidemiology; Legal Interpretation Using Epidemiology; Disease Occurrence; Review Questions for Section 2.1; 2.2 Causation and Inference in Epidemiology and Public Health; Rothman's Diagrams for Sufficient Causation of Diseases; Causal Inferences; Using the Causal Criteria

Judging Scientific EvidenceReview Questions for Section 2.2; 2.3 Biostatistical Basis of Inference; Modes of Inference; Levels of Measurement; Frequentist BIOS in EPDM; Confidence Intervals in Epidemiology and Public Health; Bayesian Credible Interval; Review Questions for Section 2.3; 2.4 BIOS in EPDM and PH; Applications of BIOS; BIOS in EPDM and PH; Processing and Analyzing Basic Epidemiologic Data; Analyzing Epidemiologic Data; Using R; Evaluating a Single Measure of Occurrence; Poisson Count (Incidence) and Rate Data; Binomial Risk and Prevalence Data

Evaluating Two Measures of Occurrence-Comparison of Risk: Risk Ratio and Attributable RiskComparing Two Rate Estimates: Rate Ratio rr; Comparing Two Risk Estimates: Risk Ratio RR and Disease (Morbidity) Odds Ratio DOR; Comparing Two Odds Estimates From Case-Control: The Salk Polio Vaccine Epidemiologic Study; Review Questions for Section 2.4; Exercises for Chapter 2; Using Probability Theory; Disease Symptoms in Clinical Drug Trials; Risks and Odds in Epidemiology; Case-Control Epidemiologic Study; Mortality, Morbidity, and Fertility Rates; Incidence Rates in Case-Cohort Survival Analysis

PrevalenceMortality Rates; Estimating Sample Sizes; References; Appendix; Chapter 3: Data Analysis Using R Programming; Introduction; 3.1 Data and Data Processing; Data Coding; Data Capture; Data Editing; Imputations; Data Quality; Producing Results; Review Questions for Section 3.1; 3.2 Beginning R; R and Biostatistics; A First Session Using R; The R Environment; Review Questions for Section 3.2; 3.3 R as a Calculator; Mathematical Operations Using R; Assignment of Values in R and Computations Using Vectors and Matrices; Computations in Vectors and Simple Graphics

Use of Factors in R Programming

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

0-8261-1026-6

OCLC:

930760142