Large data set: Suggestions on how to analyse / Biomedical research


I need help with suggestions on to handle and analyse my data.

I have used some of the data once, please see attached article. Please open and read this article and recognize which data I already have used and how I have used them.

Examples of what could be analysed is:

Association between:

- age and HPV status (positive or negative)

- Study collection time and HPV status

- Age and p16-positive

- HPV-analysis method, and correlation between p16 and HPV

- Anatomy and HPV-status

- anatomy and p16

- Anatomy and histology/differentiation

- Evaluation by pathologist, no of observers and p16-positivity

- Ethnicity and HPV status

These are just a few examples. Please come with other suggestions as well on possible analysis of the data?

Regarding the statistical methods/analysis:

Maybe multivariant analysis are relevant, maybe complete other methods are relevant? Please suggest.

I have attached my datasheet in SPSS-format and also attached an explanation in excel file where the columns are put in categories so you get an idea on what they mean.

In the SPSS-file if I put an "9999" or an dot "." it means missing numbers/data. I am sorry if this is a bad way of doing it.

PLEASE NOTICE: I expect to receive all calculations you perform in an SPSS file or as a minimum you show me how I do it in SPSS. If you dont have SPSS you can download the freeware here: [url removed, login to view]

Looking forward to working with you.


I have changed the SPSS-file to a excel file. Where data is missing in the excel fil means data is not available.

I see that I have to be more specific in my analysis, therefore I need help from you to perform these analysis:

Correlation/association between:

- anatomy (green section) and HPV status (purple section)
- anatomy (green section) and pathology (yellow)
- anatomy (green section) and differentiation (red)
- HPV diagnostics (light blue) and HPV status (purple section)
- Age (grey) and HPV status (purple section)
- Gender (red-white) and differentiation
- HPV status (purple section) and pathology (yellow)
- HPV status (purple section) and differentiation (red)
- Demographic (white-blue) and HPV status (purple section)
- Demographic (white-blue) and pathology (yellow)
- Ethinicity (light red) and HPV status (purple section)

Please notice column "Total patients" (white-green) for each group.

You have to decide how to perform the calculations (which statistical measurements).

Habilidades: Estatísticas

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( 101 comentários ) Copenhagen, Denmark

ID do Projeto: #6811517

11 freelancers are bidding on average $207 for this job


I guess I dont have to inform my previous projects :) I have few questions: 1-Can you also use other applications, like Stat13 etc. 2-Do you have data because the xls file is empty. 3-what is the exact dead line Mais

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Hi Ok I can help you with your task. I can select the appropriate test. Check the right solution. Run analysis. And write short comments. To suggest the variants of analysis I have to familiarize closely with yo Mais

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Dear client, We can find correlation of each features automatically to show its dependent. here is my portfolio: [url removed, login to view] thank you.

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