ML Bovbjerg 11. Foundations of Epidemiology –SCREENING AND DIAGNOSTIC TESTING

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Differentiate between 
   screening
    and 
   diagnostic testing
2. Calculate and interpret common 
   test characteristics
3. Discuss the role of public health in 
   screening
    programs

ML Bovbjerg 10. Foundations of Epidemiology – CAUSALITY AND CAUSAL THINKING IN EPIDEMIOLOGY

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Discuss the 3 tenets of human disease causality
2. Explain how causal thinking plays a role in the 
   epidemiology
    research process
3. Apply epidemiologic causal thinking to common exposure/disease problems

ML Bovbjerg 09_Foundations of Epidemiology –EPIDEMIOLOGIC STUDY DESIGNS

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Compare and contrast the strengths and limitations of cohort, case-control, cross-sectional, and randomized controlled trial studies
2. Describe ecologic studies and explain the 
   ecologic fallacy
3. Describe the appropriate use of a systematic review and meta-analysis

ML Bovbjerg 08. Foundations of Epidemiology – EFFECT MODIFICATION

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Explain what 
   effect modification
    is
2. Differentiate between confounders and effect modifiers
3. Conduct a stratified analysis to determine whether 
   effect modification
    is present in the data

ML Bovbjerg 07. Foundations of Epidemiology - CONFOUNDING

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Explain the concept of 
   confounding
   , and how it affects the results of epidemiologic studies
2. Reiterate the criteria that a variable must meet to be a possible confounder
3. Conduct a stratified analysis to determine whether a variable is a confounder
4. Provide examples of exposure/outcome/confounder relationships, in terms of confounder criteria and analysis requirements

ML Bovbjerg 06. Foundations of Epidemiology - BIAS

 

After reading this chapter, you will be able to do the following:

1. Define 
   bias
   , and differentiate it from 
   random error
2. Differentiate between the different types of 
   bias
    common to epidemiologic studies, and provide illustrative examples of each

ML Bovbjerg 05. Foundations of Epidemiology - RANDOM ERROR

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Define 
   random error
    and differentiate it from 
   bias
2. Illustrate 
   random error
    with examples
3. Interpret a p-value
4. Interpret a 
   confidence interval
5. Differentiate between type 1 and type 2 statistical errors and explain how they apply to epidemiologic research
6. Describe how statistical 
   power
    affects research

ML Bovbjerg 04. Foundations of Epidemiology - INTRODUCTION TO 2 X 2 TABLES, EPIDEMIOLOGIC STUDY DESIGN, AND MEASURES OF ASSOCIATION

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Interpret data found in a 2 x 2 table
2. Compare and contrast the 4 most common types of epidemiologic studies: cohort studies, randomized controlled trials, case-control studies, and cross-sectional studies
3. Calculate and interpret relative measures of association (
   risk
    ratios, rate ratios, odds ratios)
4. Explain which measures are preferred for which study designs and why
5. Discuss the differences between absolute and relative measures of association

ML Bovbjerg 03. Foundations of Epidemiology - EPIDEMIOLOGICAL SURVEILLANCE

After reading this chapter, you will be able to do the following:

1.  Define epidemic and explain that word’s relationship to epidemiology

2.  Define surveillance and explain how surveillance relates to epidemiology overall

3.  Describe some common surveillance systems and methods used in the US

4. Explain the rationale behind notifiable condition reporting, and how this pertains to epidemics, epidemiology, and surveillance

Sau khi đọc chương này, bạn sẽ có thể :

1. Định nghĩa dịch và giải thích mối quan hệ với dịch tễ học

2. Định nghĩa giám sát và giải thích giám sát liên quan như thế nào đến dịch tễ học

3. Mô tả một số hệ thống và phương pháp giám sát thường được được sử dụng ở Mỹ

4. Giải thích lý do cơ bản đằng sau việc báo cáo tình trạng bệnh phải khai báo và điều này liên quan như thế nào đến dịch bệnh, dịch tễ học và giám sát

ML Bovbjerg 02. Foundations of Epidemiology - MEASURES OF EPIDEMIOLOGY

After reading this chapter, students will be able to do the following:

1.  Define and calculate prevalence

2.  Classify individuals as either at risk of disease or not

3.  Define and calculate incidence proportion

4.  Construct intervals of person-time at risk for a given population

5.  Define and calculate incidence rate.

6. Differentiate between incidence and prevalence, and explain the mathematical relationship between them

Hoàn thành bài học này, sinh viên có thể:

1.  Định nghĩa và tính toán tỷ lệ lưu hành

2.  Phân loại các cá nhân có hay không có nguy cơ mắc bệnh

3.  Định nghĩa và tính toán tỷ lệ mắc mới

4.  Xây dựng các khoảng thời gian - người có nguy cơ đối với một quần thể nhất định

5.  Định nghĩa và tính tỷ lệ mắc mới.

6. Phân biệt giữa tỷ lệ mắc mới và tỷ lệ hiện mắc và giải thích mối quan hệ toán học giữa chúng