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How to conduct a binomial distribution analysis in JMP 14.1.0

Helena

Hello,

Could someone help with this query (attached an example dataset)

I'd like to do a binomial dist. analysis (in JMP) on mortality data count by treatment (4 treatments) and day (3-time points).

thanks

Mortality-by-Treat-by-Day.xlsx

Accepted answers

All comments

peng_liu

Import data into JMP.
Describe your data, or how you collected the data. Describe variables and observations. Clean your data if necessary. There are 4 time points, and observations at time=0 are inconsistent with others, I believe.
If you have decided the objective of fitting Binomial, then ask the question: what is the number of trials, and the number of either death or survival. I believe you also have to ask "at what time point".
Be careful, if you want to throw the data without modification into Logistic regression or similar analysis, because I believe that your observations, as is, are not independent. Need to see your description to confirm.
If the objective is to model mortality rate over time, then Binomial may not be a relevant subject. Mortality rate over time is a curve.

Mark_Bailey

Another potentially useful analysis in this case is probit analysis. You might postulate these effects using Analyze > Fit Model:

You can use the GLM platform to explore signficant effects, lack of fit, over-dispersion, and profile the response, Prob( Dead ).

Helena

thank you Liu

The objective of the analysis is to see if the treatment (4 levels) has an effect on mortality and if the treatment effect changes over time.

Helena

thank you.

That's what I was looking for but wasn't sure about the function logit or probit.

peng_liu

You data have 64 unique pens. Sum Live Animals are all 22 or less. But Sum Live Animals are all 22 on Day=0. Sum Live Animals will only decrease over time for individual pens. My questions: do all your pens start with 22 live animals on day=0, then over time, some animals will die, and are you tracking live and dead animals in individual pens?

Helena

That's right. At the start of the study (day 0), all the 64 pens start with 20 animals in each pen.

The number of dead animals at each time point (day 0, 10, 22, 35) is recorded in column 6 (Sheet1).

There are 4 treatments, each treatment is replicated 16 times.

The treatment effect overtime on the number of dead animals is the variable of interest.

The data is presented (Sheet1) as:

- column 1: Pen ID

- column 2: Replicate

- column 3: Treatment ID

- column 4: Time point

- column 5: Number of alive animals

- column 6: Number of dead animals