Changes between Version 9 and Version 10 of SOPs/StatisticalSteps


Ignore:
Timestamp:
11/16/22 14:53:02 (2 years ago)
Author:
gbell
Comment:

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  • SOPs/StatisticalSteps

    v9 v10  
    18181. What is the big picture? What is begin studied? Why was the experiment performed?
    19192. What is the experimental design? Is there biological and/or technical replication?
    20 3. What measurements were taken?
    21 1. Is there any missing data? How should that be handled?
    22 1. What specific question is the statistics hoping to address? This can be tricky, as slightly different questions may require completely different tests.
     203. What is the sex of each sample and/or cell line? (Relevant if they're not all the same.)
     214. Were the samples obtained in different batches?  Or at different times (which can be thought of as batches)?
     225. Are there other characteristics/parameters of cells or animals that could be considered?
     236. Does the experiment have paired design?  Are some samples more similar to each other than to the other samples, implying some type of grouping?
     247. Are there potential quality control issues that we should know?
     258. Are there any potential confounding problems (like batch being correlated with treatment)?
     269. For time courses, are measurements repeated on the same samples or on different samples?
     2710. What measurements were taken?
     2811. Is there any missing data? How should that be handled?
     2912. Are there potential extreme data points?  If so, are those valid measurements or more likely due to technical errors?
     3012. What specific question is the statistics hoping to address? This can be tricky, as slightly different questions may require completely different tests.
    2331
    2432- '''Look at the raw data'''
     
    29371. Are there any obvious problems?
    30381. Are there obvious batch effects?
    31 1. Are there any obvious "outliers" due to some technical (or biological) reason?  Be very careful about removing these (and be prepared to report how/why they were removed).
     391. Are there any obvious "outliers" due to some technical (or biological) reason?  Be very careful about removing these (and be prepared to report how/why they were removed).  If at all in doubt, keep all the data.
    32401. Could the data need some form of normalization or scaling to make factors more comparable?
    3341