Hello,

I would like to get some advice to analyse some data. Here are the key features.

1. The data is not Normally distributed.

2. It is not independent, that is, I am comparing the same group of people over three time periods.

3. The data is numerical, from 0 to 100.

4. The data consists of three groups, same individuals, samples at three different time frames.

5. there is quite a bit of missing data, specially in the 1 and 2 month periods.

I need to compare the means of those three groups.

Here is a mock example of the data. Actual data is just a bit bigger, with 40 individuals, not 10.

Name |
Baseline |
1_month |
2_months |

P001 |
81.22 |
100 |
N/A |

P002 |
56.23 |
75 |
68.68 |

P003 |
40 |
40 |
N/A |

P004 |
100 |
N/A |
100 |

P005 |
40 |
N/A |
N/A |

P006 |
73.33 |
40 |
N/A |

P007 |
0 |
39.36 |
18.69 |

P008 |
94.44 |
90.55 |
85.55 |

P009 |
15.56 |
N/A |
N/A |

P010 |
83.26 |
N/A |
N/A |

Any advice would be welcome!

My first conclusion was to do a ANOVA with Repeated Measures, until I realised the data is not Normally distributed... I tried transfroming it but that didnt make it Normal either. Although I only tried to do it with Log10.

Thank you for any help!

Freddy

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KARL GRUBER

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