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Covariate as a designing factors

If I already have an experiment with three inputs, can I add their data as a covariate in the custom design rather than specifying them as discrete or continuous variables and then designing an Experiment based on those three covariates only?
Sherif_96

Discussions |
Jun 17, 2024 6:59 AM

1190 views | 2 replies
calculating sample size

need your advice please I need to calculate a minimum number of subjects for an experiment aimed at evaluating the ability to control a new device. The average success rate in the population is unknown and the assumption is that it is completely random 50%. We claim that the ability to control the device is at least 80%. In the experiment. each subject receives 15 attempts in which there is a pos...
yaron

Discussions |
Jun 17, 2024 1:01 AM

979 views | 1 replies
Statistical Significance

Hello, So I fitted a regression model. And one of the predictors have a Pvalue of 0.0538 for the whole model. Should I completely take of this predictor and use the reduced model for predictions or is it ok to keep it ?And what is the terminology for Pvalues that is around 0.05. I saw in some web sources, 0.05 to 0.1 can becalled marginally significant. Does this term make any sense in when explai...
Mathej01

Discussions |
Jun 14, 2024 5:34 AM

3278 views | 4 replies
Optimal Designs

Hallo, kann JMP auch optimale Designs erstellen und auswerten? D-, E-, I-Designs usw.? Welches optimale Design ist als Screening Design brauchbar? Welche Anzahl von Läufen ist sinnvoll? Kann dieses erweitert und dann für eine komplexere Auswertung verwendet werden? Was für ein optimales Design ist für die komplexere Auswertung zu empfehlen? Welche Anzahl von Läufen ist dann sinnvoll? Danke. T...
Thommy7571

Discussions |
Jun 13, 2024 5:55 AM

1797 views | 3 replies
Analysis Design of Experiments

Hi JMP Community, I have two questions regarding the analysis of the Design of Experiments I performed: 1) When performing a screening DOE (Plackett-Burman design) and one of the model terms has a positive effect on the dependant variable but it does not appear to reach statistical significance, does it make sense to still include this factor when performing the second, optimization DOE? When a fa...
SaraA

Discussions |
Jun 12, 2024 1:51 PM

1883 views | 4 replies

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Latest Discussions

Covariate as a designing factors

If I already have an experiment with three inputs, can I add their data as a covariate in the custom design rather than specifying them as discrete or continuous variables and then designing an Experiment based on those three covariates only?
Sherif_96

Discussions |
Jun 17, 2024 6:59 AM

1190 views | 2 replies
calculating sample size

need your advice please I need to calculate a minimum number of subjects for an experiment aimed at evaluating the ability to control a new device. The average success rate in the population is unknown and the assumption is that it is completely random 50%. We claim that the ability to control the device is at least 80%. In the experiment. each subject receives 15 attempts in which there is a pos...
yaron

Discussions |
Jun 17, 2024 1:01 AM

979 views | 1 replies
Optimal Designs

Hallo, kann JMP auch optimale Designs erstellen und auswerten? D-, E-, I-Designs usw.? Welches optimale Design ist als Screening Design brauchbar? Welche Anzahl von Läufen ist sinnvoll? Kann dieses erweitert und dann für eine komplexere Auswertung verwendet werden? Was für ein optimales Design ist für die komplexere Auswertung zu empfehlen? Welche Anzahl von Läufen ist dann sinnvoll? Danke. T...
Thommy7571

Discussions |
Jun 13, 2024 5:55 AM

1797 views | 3 replies
Analysis Design of Experiments

Hi JMP Community, I have two questions regarding the analysis of the Design of Experiments I performed: 1) When performing a screening DOE (Plackett-Burman design) and one of the model terms has a positive effect on the dependant variable but it does not appear to reach statistical significance, does it make sense to still include this factor when performing the second, optimization DOE? When a fa...
SaraA

Discussions |
Jun 12, 2024 1:51 PM

1883 views | 4 replies
Non-Parametric-Test (JMP 17.2) Beginners Question

Hallo liebe Community,

ich habe eine ziemlich basale Statistik Frage:

Ich habe ein "Medikament A", das nehmen etwa 200 Patienten ein
Jetzt möchte ich die Gruppen vergleichen:
Nebenwirkung B "Present" oder "Absent"

Welchen Test verwende ich da? Ich dachte non-parametric über fit y to x und Wilcoxon-Test mit zwei Stichproben, Normal-Approxmation unter "Wahrscheinlichkeit > Z" den P-Value ablesen, um fe...
mmkaz

Discussions |
Jun 12, 2024 8:33 AM

1811 views | 4 replies

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Latest Discussions

Creating DOE (and fitting) for non-linear response

Hello, I am still new to JMP but I'm trying to determine the best way to model a non-linear system (generating DOE + model fitting). Context: Long story short, I have a large experimental space that I am trying to model (10 discrete variables + 10 continuous variables). Before I jump into my full experiment I'm working with a subset (1 discrete variable + 5 continuous variables) to make sure I'm m...
EndogenousCame1

Discussions |
May 20, 2024 1:19 PM

1048 views | 0 replies
Robust vs. Non Robust Response Screening/ Categorical Outliers

Hello! I appreciate your help in advance! I am currently trying to figure out the proper way to analyze my data! I had used the DOE feature of JMP to create this fraction factorial of 24 runs for m experiment. The goal is two screen which categories have the most effect on the success rate. I had initially use the response screening option to analyze my results, when I did that none of my values...
MedianPuppy4982

Discussions |
May 14, 2024 7:56 AM

916 views | 0 replies
Process development with multiple factors

Hi everyone, I'm currently engaged in a process development project with the goal of 1) minimizing the total process time while 2) maintaining or enhancing the yield. This objective is similar to viral vector production case, where maximizing virus yield in the shortest production time is crucial. After consulting with subject matter experts, we've pinpointed 10 factors for potential modification....
BJK_JerseyBoy

Discussions |
Apr 9, 2024 2:47 PM

796 views | 0 replies
Do 3rd order effects help define curvature?

If you have are making a design with a factor you are certain will have a quadratic relationship against a response but you have a wide range, can it be helpful to define a 3rd order model effect for that factor to better identify and model curvature. I work in purification and we often deal with a recovery vs. purity balance. This relationship is usually quadratic around the optimal, where at a l...
MetaLizard62080

Discussions |
Mar 4, 2024 8:21 PM

1001 views | 0 replies
Neural networks that learn and predict in real time (incremental learning)

Hello community!!A query:- How JMP is configured to generate neural networks that learn from their inputs in real time (incremental learning) in such a way that it continually updates its weights according to new inputs and generates updated real-time predictions.Greetings,Marco
Marco2024

Discussions |
Mar 4, 2024 9:37 AM

850 views | 0 replies