Biostatistics for epidemiology and public health using R /
Chan, B. K. C.
Biostatistics for epidemiology and public health using R / Bertram K. C. Chan. - 1 online resource (460 p.)
Description based upon print version of record.
Includes bibliographical references at the end of each chapters and index.
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
English
9780826110268 eBook
Biometry.
Epidemiology.
Programming languages (Electronic computers)
Public health.
R (Computer program language).
QH323.5 / .C436 2016
610.15195
Biostatistics for epidemiology and public health using R / Bertram K. C. Chan. - 1 online resource (460 p.)
Description based upon print version of record.
Includes bibliographical references at the end of each chapters and index.
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
English
9780826110268 eBook
Biometry.
Epidemiology.
Programming languages (Electronic computers)
Public health.
R (Computer program language).
QH323.5 / .C436 2016
610.15195