18 Oct Certain basic assumptions are necessary to allow for the statistical analysis of public health data. However, the validity of these assumptions can be affected by the sample size being analyzed.
Sample Size and Statistical Assumptions
Certain basic assumptions are necessary to allow for the statistical analysis of public health data. However, the validity of these assumptions can be affected by the sample size being analyzed. The purpose of this assignment is to refresh your knowledge of the basic assumptions underlying the biostatistical analysis and to consider how these assumptions are affected by the sample size being analyzed.
Using the South University Online Library, the Internet, and your text readings, research the following statistical topics:
Statistical power
Central limit theorem (CLT)
On the basis of your research and understanding, respond to the following:
Find and state the definition of statistical power that you identify with.
State the definition of statistical power in your own words.
Compare and contrast type I and type II errors.
Explain how power is affected by sample size.
Find and state the definition of CLT that you identify with.
State the definition of CLT in your own words.
Summarize the basic assumptions underlying hypothesis testing and confidence interval methods.
Explain how these assumptions are affected by sample size.
Explain the relation of a sample size to the basic assumptions underlying biostatistical analysis.
Submission Details:
Post your response to the Discussion Area by the due date assigned. Respond to at least two posts by the end of the week.
PHE5020 Biostatistical Methods
Week 2 Discussion
Parametric vs. Nonparametric Methods
The purpose of this assignment is to differentiate between parametric and nonparametric statistical methods. In addition, this assignment will help you understand and implement parametric or nonparametric statistical methods.
Using the South University Online Library, the Internet, and your text readings, research the following statistical topics:
Levels of measurement
Parametric and nonparametric methods
On the basis of your research and understanding, respond to the following:
Find and state the definition of levels of measurement that distinguishes the five types of data used in statistical analysis.
In your own words, compare the five types of data and explain how they differ.
Find and state a definition of parametric and nonparametric methods that distinguishes between the two.
In your own words, explain the difference between parametric and nonparametric methods.
Explain which types of data require parametric statistics to be used and which types of data require nonparametric statistics to be used and why.
Compare the advantages and disadvantages of using parametric and nonparametric statistics.
Describe how the level of measurement helps determine which of these methods to use on the data being analyzed.
Submission Details:
Post your response to the Discussion Area by the due date assigned. Respond to at least two posts by the end of the week.
PHE5020 Biostatistical Methods
Week 3 Discussion
Statistics for Contingency Tables
The purpose of this assignment is to learn about categorical data and the statistics used to analyze this type of data.
You can expect to research and provide your own definitions of these concepts. You will also discuss in what situations to use each statistic, how these statistics are used to test for significance of relations among the data, and how to interpret each statistic. The takeaways from this assignment are an understanding of contingency tables as a representation of categorical data, two statistics used to analyze this type of data, and an understanding of how to interpret these statistics in the context of a public health analysis.
Using the South University Online Library, the Internet, and your text readings, research the following statistical topics:
Contingency tables
The chi-square
Fisher’s exact test (FET)
On the basis of your research, respond to the following:
Find and state a definition of a contingency table that you feel is easy to understand.
In your own words, explain what contingency tables are and what they are used for.
Explain what type of data is displayed in contingency tables.
Explain how contingency tables and their related statistics are used to test for significance of relations among the data.
Two statistics that can be used in contingency tables are chi-square and FET. Distinguish between the two statistics.
Explain when you would use the chi-square and when you would use the FET.
Explain how you would interpret each statistic.
Submission Details:
Post your response to the Discussion Area by the due date assigned. Respond to at least two posts by the end of the wee
PHE5020 Biostatistical Methods
Week 4 Discussion
Coefficient of Determination
The purpose of this assignment is to learn about the coefficient of determination (R2) statistic as a measure of the fit of a regression line.
R2 is a statistical measure of how close the data are to a fitted regression line. In general, the higher the R2, the better the model fits your data. However, while R2 measures goodness of fit, it does not indicate whether a regression model is adequate. You can have a low R2 value for a good model or a high R2 value for a model that does not fit the data.
Using the South University Online Library, the Internet, and your text readings, research about R2.
On the basis of your research and your involvement in public health functions, respond to the following:
Find and state a definition of R2 that you feel is easy to understand.
In your own words, provide a substantive explanation of what R2 represents.
Explain what the statistic R2 is used for in regression analysis.
Explain how R2 is affected by sample size.
Describe whether a large R2 value means that a regression is significant. Provide reasons for your answer.
Describe how you would substantively interpret R2.
Submission Details:
Post your response to the Discussion Area by the due date assigned. Respond to at least two posts by the end of the week.
PHE5020 Biostatistical Methods
Week 5 Discussion
ORs and RRs
This assignment will help you analyze the relationship of risk (of an illness) to exposure in public health regression analyses. Both ORs and RRs can be used to demonstrate the relationship between exposure and risk. However, each has its own advantages and disadvantages. While ORs are often used in professional papers, they are also often mistaken for RRs. RRs would often be the better choice as they are less complex than ORs and the interpretation is straightforward.
Using the South University Online Library, the Internet, and your text readings, research the following:
ORs
RRs
On the basis of your research, respond to the following:
Identify and state the definition of an OR that you feel is easy to understand.
In your own words, explain what an OR is and for what it is used.
Identify and state the definition of an RR that you feel is easy to understand.
In your own words, explain what an RR is and for what it is used.
Compare and contrast ORs and RRs and how they are used for multisample inferences.
Explain the advantages and disadvantages of using each ratio.
Submission Details:
Post your response to the Discussion Area by the due date assigned. Respond to at least two posts by the end of the week
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