STAT 6225, Final Assignment
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STAT 6225, Final Assignment
Overall Objectives:
The objectives of this assignment are to:
(a) perform a final analysis for the dynamic conditional distribution functions of body
mass index (BMI) using the NGHS data;
(b) produce a final report summarizing the findings of the analyses in Assignments 1-3
for the BMACS data.
Computation Part (a):
Reproduce the results of Figure12.1 of page 431 and Figure 12.2 of page 433 in Wu and Tian (2018). Please note that information for downloading the package is in page 31 of Wu and Tian (2018).
Writing Part (b):
Your manuscript should contain the description of the following items:
(1) the objectives of the data and analysis,
(2) the preliminary analysis which may be used to justify your statistical models,
(3) the series of statistical models from simple to more complex ones, e.g., from paramet- ric marginal and mixed-effects models, to nonparametric marginal and mixed-effects models,
(4) the interpretations of the statistical models,
(5) findings of your applications of these models to the BMACS data (you need to sum- marize your findings in tables and figures),
(6) main conclusions of your analysis,
(7) discussion of the pros and cons of the models.
Requirements and structures of your paper:
Basically, I would like to see a clear, well-structured, and well-written paper of approxi- mately 15 pages long (including the references, but excluding the figures and tables). Similar to a real submission of applied statistical papers to a statistical or epidemiology journal, you need to put your paper in the order of (a) main body of the paper, (b) reference list (15 pages of main body plus references), (c) tables of the results, and (d) figures. So, in this order, you will have all the tables and figures at the end of the paper.
For the main body of the paper, the following structure is a good way to follow:
0. Abstract: Less than 300 words long, summarizing the overall findings of the whole paper.
1. Introduction: 1/2 to one page long, introducing the background, motivation, and objectives of the paper.
2. Data and Objectives: Approximately one page long, describing the BMACS study, the BMACS dataset you actually use, and what you want to conclude with the data.
3. Preliminary Analysis: About 2 pages long, describing the preliminary analysis that you have done in Assignment 1, and the implications of these preliminary analysis results.
4. Statistical Models and Methods: About 3 to 5 pages long, describing the major statistical models that you have used in Assignments 1 to 3, and the corresponding estimation methods.
5. Findings and Interpretations: About 3 to 4 pages long, describing the findings of your analyses in Assignments 1 to 3, and interpretations of your findings. These include clinical interpretations of your parameter estimates, confidence intervals, and implications of the curves and figures.
6. Conclusions of the Analysis: About 1/2 to 1 page long, describing the conclusions of your findings. This can be a summary of your findings in the previous section, i.e. the final conclusions after taking all the itemized analyses into consideration.
7. Discussion of Advantages and Limitations: About 1/2 to 1 page long, describing the pros and cons of the statistical methodology. You may focus on the limitations of the models and methods, and point out some future methodology research which may provide useful insights into the analysis of longitudinal data.
2021-12-23