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IBM Data and AI Ideas Portal for Customers


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We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:

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Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,

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The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.

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Additional Information

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Status Future consideration
Workspace SPSS Statistics
Created by Guest
Created on Dec 16, 2019

Longitudinal Tobit analysis

In many epidemiologic longitudinal and rehabilitation studies, the outcome variable has floor or ceiling effects such as the Barthel Index and Stroke Impact Scale (SIS).  Although not correct these variables are treated as normally distributed continuous and analyzed accordingly by using  i.e. lineair mixed models.

Longitudinal Tobit analyses show better fit as compared to LMM thus being more suited for analyses of these outcome variables (J. Twisk, F.Rijmen, Journal of Clinical Epidemiology 62 (2009) 953-958).

Needed by Date Jan 2, 2020