JMP is a statistical software package. Use this tag for any on-topic question that (a) involves JMP either as a critical part of the question or expected answer, & (b) is not just about how to use JMP .
Questions tagged [jmp]
51 questions
24
votes
3 answers
How to set up and estimate a multinomial logit model in R?
I ran a multinomial logit model in JMP and got back results which included the AIC as well chi-squared p-values for each parameter estimate. The model has one categorical outcome and 7 categorical explanatory vars.
I then fit what I thought would…

paul
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10
votes
1 answer
Two-sample comparison of proportions, sample size estimation: R vs Stata
Two-sample comparison of proportions, sample size estimation: R vs Stata
I got different results for sample sizes, as follows:
In R
power.prop.test(p1 = 0.70, p2 = 0.85, power = 0.90, sig.level = 0.05)
Result: $n = 160.7777$ (so 161) for each…

dwstu
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9
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1 answer
Relation between logistic regression coefficient and odds ratio in JMP
From the output of a logistic regression in JMP, I read about two binary variables:
Var1 estimate -0.1007384
Var2 estimate 0.21528927
and then
Odds ratio for Var1 lev1/lev2 1.2232078 reciprocal 0.8175225
Odds ratio for Var2 lev1/lev2 0.6501329…

glassy
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8
votes
1 answer
Interval censoring
I ran an interval censor survival curve with R, JMP and SAS. They both gave me identical graphs, but the tables differed a bit. This is the table JMP gave me.
Start Time End Time Survival Failure SurvStdErr
. 14.0000 1.0000 …

user45442
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5
votes
1 answer
Probability of data point being from distribution in normal mixtures
Using JMP, I was able to fit a distribution to a set of data, using the normal-2 mixtures model. It returns location (or mean), dispersion (standard deviation) and probability for each of the two normal distributions used to create the normal-2…

cwyers
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5
votes
1 answer
Discrepancy between stepwise and nominal logistic regression results in JMP
I have carried out a stepwise logistic regression in JMP. Then (using the proper button in the program window), I have chosen to build a nominal logistic regression model using (only) the variables identified by the stepwise procedure.
Anyhow,…

glassy
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5
votes
2 answers
R and JMP produce different regression results due to sum of squares calculation and other factors
I recently started transitioning from JMP to R and to get started, I've been trying to reproduce some of my old JMP results in R. However, when I run a multiple regression with one continuous variable (income) and one categorical variable…

abclist19
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5
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Is the goodness of fit test in JMP the Hosmer-Lemeshow goodness of fit test?
I'm working with an organization that is using JMP in their analysis, and I can't tell from the description in JMP's help files if the test for goodness of fit in their logistic regression is the Hosmer-Lemeshow test. If it makes a difference, my…

Zaralynda
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4
votes
1 answer
How to use REML to estimate correlation with missing data in R?
In JMP Multivariate Methods, REML is used to estimate correlation when there are missing data values (pg. 28). However, there is no documentation describing how this is done.
I'm trying to compare my results in R with my results in JMP. However,…

ken
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4
votes
3 answers
What is "the shortest half of the data"?
Here is a histogram (realized with JMP) displaying two types of box plot called outlier box plot and quantile box plot.
Right below, there are a bunch of explanations of the meaning of the different features of the outlier box plot.
The red…

Remi.b
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3
votes
1 answer
Linear Regression: Ordinal or dummy independent variables?
I am a beginner who needs some help reading some results from linear regressions.
I am looking for factors that influence the location of civil conflict events. My dependent variable is the distance from the capital (km), a continuous variable.
I…

Damien
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3
votes
1 answer
How should I design a database for multi-year data analysis with JMP?
I'm building a database of economic and political indicators provided by the World Bank and other similar sources. I would like to run uni- and multivariate analysis of these indicators over the past 20 years of data. I'll be using JMP to analyze…

Andrew
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3
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1 answer
How to compute confidence interval for number to treat in a logistic regression?
I have built a multivariate regression model where $\mathbf x$ is the variable vector. Now I am asked to calculate the confidence interval for the number to treat (NNT) at $\mathbf x=\mathbf {x_0}$ which in turn requires to build the confidence…

glassy
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3
votes
2 answers
How to calculate confidence intervals in a GLM using the profile likelihood?
I've been trying to better understand how JMP does regression and associated models. I can compute the correct parameter estimates for a GLM, by using iteratively re weighted least squares. But now I'm stuck and having trouble matching the…

NotAStatistician
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2
votes
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Proper methods for this case of repeated measures?
I am measuring hormone changes in animals. I have three groups: Groups A, B, and C. In each group, blood was collected from the SAME individuals for hormone assay at 0, 15, 30, and 60 min. This was done in males and in females and I would like to…

Need stats help
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