MPH501 All Modules Discussions Latest 2020 January

MPH501 Quantitative Methods for Public Health Application

Module 1 Discussion

DQ1 Introduction to Biostatistics

Discuss the application of biostatistics in public health. Please elaborate in your answer to include quantitative and qualitative data.

DQ2 Study Designs

Using the study designs explained in your textbook, discuss the application of study designs in public health. Use a current quantitative and a current qualitative example.

Course Outcomes

This assignment provides documentation of student ability to meet the following Course Outcomes.

CO 1: Relate probabilistic and biostatistical terminology to public health issues.

CO 6: Critically review statistical methods encountered in the public health literature.

 

MPH501 Quantitative Methods for Public Health Application

Module 2 Discussion

DQ1 Prevalence and Incidence

Describe the relationship between prevalence and incidence?

DQ2 Variables

Explain the differences among dichotomous variables, categorical variables, and continuous variables.

Course Outcomes

This assignment provides documentation of student ability to meet the following Course Outcomes.

CO 1: Relate probabilistic and biostatistical terminology to public health issues.

CO 6: Critically review statistical methods encountered in the public health literature.

 

MPH501 Quantitative Methods for Public Health Application

Module 3 Discussion

DQ1 Sample Selection

Define the four methods for selecting a sample and discuss the strengths and weaknesses of each method.

DQ2 Sensitivity and Specificity

What is the importance of sensitivity and specificity related to screening tests? Explain why it is crucial to obtain a high sensitivity and specificity value for a screening test.

Course Outcomes

This assignment provides documentation of student ability to meet the following Course Outcomes.

CO 3: Develop the role of probability as it is applied to public health and medical research.

 

MPH501 Quantitative Methods for Public Health Application

Module 4 Discussion

DQ1 Confidence Interval

Describe the procedure for estimating a confidence interval for a continuous variable.

DQ2 Population Variance

Describe procedures used for estimating a confidence interval when the population variance is unknown.

Course Outcomes

This assignment provides documentation of student ability to meet the following Course Outcomes.

CO 2: Apply biostatistical procedures in the public health environment and to epidemiological issues.

 

MPH501 Quantitative Methods for Public Health Application

Module 5 Discussion

DQ1 Hypothesis Testing

Describe the five steps in hypothesis testing. What is the difference between a one-sample test and a two-sample test?

DQ2 T-tests

Interpret the differences in conducting two-tailed, upper tailed, and lower tailed t-tests. Please provide an example of how at least two of these types of t-tests have been used in quantitative and qualitative research.

Course Outcomes

This assignment provides documentation of student ability to meet the following Course Outcomes.

CO 2: Apply biostatistical procedures in the public health environment and to epidemiological issues.

 

MPH501 Quantitative Methods for Public Health Application

Module 6 Discussion

DQ1 Chi-Square Testing

Describe the four steps in chi-square testing. What is the difference between the terms goodness of fit and test of independence? Please provide an example from quantitative and qualitative research.

DQ2 Statistical Power/Sample Size Estimation

Why are statistical power and sample size estimation important for biostatistics? Please provide an example from quantitative and qualitative research.

Course Outcomes

This assignment provides documentation of student ability to meet the following Course Outcomes.

CO 4: Interpret the output from statistical computing packages to draw appropriate inferences and report results effectively.

CO 5: Apply multivariable methods and use real data to test for statistical significance.

 

MPH501 Quantitative Methods for Public Health Application

Module 7 Discussion

DQ1 Multivariable Analysis

Describe the usefulness of linear regression to public health professionals. Provide an example of linear regression from current quantitative and qualitative research.

DQ2 Simple Linear Regression

Describe the difference between the independent and dependent variables in a simple linear regression model. Provide an example of the two variables from current quantitative and qualitative research.

Course Outcomes

This assignment provides documentation of student ability to meet the following Course Outcomes.

CO 4: Interpret the output from statistical computing packages to draw appropriate inferences and report results effectively.

CO 5: Apply multivariable methods and use real data to test for statistical significance.