PUBH7630 - Introduction to Biostatistics - Health Information National Trends Survey - Statistics Assignment Help

Assignment Task:

PUBH7630: Introduction to Biostatistics Assignment Help

Background
The Health Information National Trends Survey (HINTS) is a national survey uniquely dedicated to learning how people find, use, and understand health information
 An information sheet about the study is available on the Blackboard site (HINTS_Fact_Sheet.pdf). We will use the data for some

Assignment 3 Questions
The answers to questions 1-3 must include
• what data you used (inclusion / exclusion)
• and selection of appropriate statistical measures and why,
• an appropriate presentation of the data in a graph and/or table,
• statements about assumption testing, and
• an appropriate conclusion based on a statistical test, with justification in text. Report the p-value to 2 or 3 decimal places (p=0.02, p<0.001, p=0.008 for example) and other values to 1 or 2 decimal places or whole numbers if appropriate. There will be penalties for going over specified word and page limits.

Analysis questions using HINTS data
These analyses require using several variables from the HINTS4 Cycle 2 data set and assessing some relationships between these variables. In particular, you will be testing the relationships between BMI and variables measuring moderate exercise, both as continuous variables or as categorical variables. Since the variables of interest are provided as either continuous or categorical then the other variable type will need to be constructed.

Variable names are in brackets and their details may be found in the codebook.

1. Consider body mass index BMI (BMI) as a continuous variable. Use hours of watching television or playing computer games (AverageDailyTVGames) in hours
per day as a continuous variable to predict BMI. Comment on the similarity or otherwise of the relationship between men and women. Gender is (GenderC)

2. We Consider BMI (BMI) as a continuous variable. Is BMI related to annual income (IncomeRanges_IMP) when income is considered to be 4 categories (“$0 to $34,999”, “$35,000 to $99,999”, “$100,000 to $199,999” and “$200,000 and above”)? Comment on the similarity or otherwise of the relationship between men and women.

3. For both men and women, underweight is BMI < 18.5; healthy weight is BMI >= 18.5 to <25; overweight is BMI > = 25 to <30; obese is BMI > = 30. Construct a
categorical variable with these categories from the continuous variable BMI (BMI). Analyse the relationship between the BMI categorical variable and Income
variable with four categories used in Question 2. Interpret your findings.

4. Write 200 words describing your overall conclusions from the above analyses in Questions 1-3. Comment on the findings. 10%

Data analysis plan

5. Write an analysis plan to examine the relationships between several variables from the HINTS4 Cycle 2 participants’ with their reported age using the age
variable is in 5 categories (AgeGrpB). Consider age group in relation to several other variables, namely, gender (GenderC), education (EducA), using the internet
to look up cancer information (InternetCancerInfoSelf) and BMI category as

defined in Question 3. Finally, include a brief analysis plan to relate one sleep pattern variable, which is the hours per working day (SleepWorkdayHr), with
continuous BMI (BMI). Use the same PDF codebook as for Questions 1 to 4. This is available on Blackboard.

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