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Math Help - Data Analysis Techniques

  1. #1
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    Data Analysis Techniques

    Hi,

    This is a general question on data analysis techniques.

    I carried out some experiments on cell growth, where I changed the control level of one factor (5 levels) and took samples through a two week period. The data includes the cell growth, product titre, nutrient and waste concentrations. I presented my data to my supervisors, which included time series plots and some basic statistics (such as means and standard deviations) but was told that my data analysis side was weak. I'm not sure what else would be relevant to present this data?

    Does anyone know any resources that highlight good analysis techniques to interrogate this data. I want to highlight the effect of the change to the control factor on the process, highlighting the effect on certain parameters and highlighting which parameters are correlated whilst including sensitivity analysis of the techniques. Are there possible multivariate techniques to summaries the effect of the different control levels on the process?

    I know this is a very general question, but any suggestions for me to look into would be great.

    Thanks,
    Dan
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  2. #2
    MHF Contributor
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    Re: Data Analysis Techniques

    Hey DanGosling.

    Some recommendations I have for analysis is to look at time series models, correlation, auto-correlation, partial auto-correlation, cross-over tests and some other techniques that are often used in clinical trials.

    Books that cover these include ones on time series analyses and clinical trials.

    I can give you some references if you'd like.
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