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comparing entire cohort and a subset

Batista
Batista
Level II
Feb 1, 2020 12:12 PM 1879 views

 how to compare the entire group (overall) with a subset of this group?

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P_Bartell
P_Bartell
Level VIII
Solution


Re: comparing entire cohort and a subset

Created: Feb 1, 2020 01:02 PM  |  Last Modified: Feb 1, 2020 10:03 AM (1874 views)  |  Posted in reply to message from Batista 02-01-2020

Since you didn't provide any specifics about the criteria for comparison, I'll start with my three rules for analysis of data:

 

1. plot the data.

2. Plot The Data.

3. PLOT THE DATA.

 

But which plots is highly dependent on the type of data you have (continuous, count, text, ordinal, etc.)? Is time ordering of the observations relevant? Do you have missing, nonsense, or other suspicious observations in the data? And other questions...so if you can provide some more details regarding the data and the specific criteria for comparison, then perhaps we can offer guidance?

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2 REPLIES 2
P_Bartell
P_Bartell
Level VIII
Solution


Re: comparing entire cohort and a subset

Created: Feb 1, 2020 01:02 PM  |  Last Modified: Feb 1, 2020 10:03 AM (1875 views)  |  Posted in reply to message from Batista 02-01-2020

Since you didn't provide any specifics about the criteria for comparison, I'll start with my three rules for analysis of data:

 

1. plot the data.

2. Plot The Data.

3. PLOT THE DATA.

 

But which plots is highly dependent on the type of data you have (continuous, count, text, ordinal, etc.)? Is time ordering of the observations relevant? Do you have missing, nonsense, or other suspicious observations in the data? And other questions...so if you can provide some more details regarding the data and the specific criteria for comparison, then perhaps we can offer guidance?

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Mark_Bailey
Staff Mark_Bailey
Staff


Re: comparing entire cohort and a subset

Feb 1, 2020 02:46 PM (1863 views)  |  Posted in reply to message from Batista 02-01-2020

I agree with @P_Bartell to start with data plots.

 

The Analysis of Means procedures compare individual group means to the overall mean.

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