Biostatistics Assignment

Introduction to Biostatistics

Question :Provide your appraisal of the strengths and weaknesses of the presentation of the statistical material in Vong et al, 2022 against items 10, 12-17 of STROBE

Question : Note: Students will get different answers as the data sets differ.

• Present the findings of your descriptive analyses.
• Present the findings of relevant regression models and inferential analyses.
• Provide your answer to the research question

Question: Read the paper Vong, T., Yanek, L. R., Wang, L., Yu, H., Fan, C., Zhou, E., ... & Mullin, G. E. (2022). Malnutrition Increases Hospital Length of Stay and Mortality among Adult Inpatients with COVID-19. Nutrients, 14(6), 1310. Critically appraise of the statistical material in this paper against items 10, 12-17 of the STROBE checklist. Present your review as a 400-600 word (approx.) report.

Notes:

1. Only review the provided paper Vong et al, 2022. Do not read any other papers.
2. Restrict your review to how well Vong et al have documented their statistical methods – that is, items 10, 12-17 of STROBE only. You may not have to address every item; just describe the major strengths and weaknesses of the authors’ descriptions of their statistical methods and results.
3. For each important STROBE item:
   • state whether you believe the STROBE item is met or not,
   • support your judgment with proof or examples from the paper, and
   • describe why this inclusion or exclusion is important / how it will impact on the reader’s understanding and decision making.
4. The 400-600 words is a guideline not a rule. There are no penalties for exceeding this guideline.
5. There are no marks for adding a reference list. Referencing is optional.

Question: Using the data set assigned to you for your Assignments address the following research question:

Is there a relationship between body mass index (BMI) and hospital length of stay (logarithm transformed) in the population of patients admitted to hospital with SARS-CoV-2 in Mumble, Wisteria after correcting for number of comorbidities? If so, describe this relationship.

Notes:

1. You should only use the variables ‘BMI’, ‘log_los’ and ‘comorb’.
2. Correcting for ‘comorb’ is just including ‘comorb’ in the regression model. When ‘comorb’ is in the model all other variables are corrected for it.
3. Do report the results of your descriptive analyses
   • Well labelled graphs can be copied from R Commander
   • Summary statistics and tables should be manually typed
   • Summarise the main findings of your descriptive analyses in words and describe how these findings inform your expectations and interpretation of the more complex models.
4. Do report the results of your statistical inference and/or regression models
   • Any fitted regression models should be manually typed and described in the text.
   • Any hypothesis tests should contain all relevant information (use the 5 step method to be sure)
   • Any other results such as confidence intervals should be manually typed and described in the text.
   • Summarise the main findings of your regression model and statistical inference in one or two paragraphs.
5. Do remember to answer the research question
   • Write a final paragraph which summarises the key findings of your analysis and your answer to the research question.
6. Do check the Learning Guide for the marking criteria
7. Do write your answers yourself and keep them private.

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