SPSS Great Tool
June 18, 2018

SPSS Great Tool

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Modules Used

  • IBM SPSS Statistics

Overall Satisfaction with IBM SPSS

SPSS is used by a variety of our senior-level scientists and Directors to perform ad hoc analysis of data. The sources of data include manufacturing information, clinical trial information, and preclinical information. It avoids having to go back to our consulting biostatistician for items that we are straightforwardly able to accomplish. This results in lower cost and more fluid turnaround time.

Pros

  • A broad variety of statistical tests
  • Handles various types of data
  • Relatively easy to use and share

Cons

  • Some degree of validation assurance - ala an FDA perspective on validation of the system - would be very helpful
  • More cost-effective options in using SPSS
Ad hoc analysis when you need a quick answer as to whether a particular pathway is worthy of pursuing further. It can provide quick assessments of various multiple paths for analytical considerations -- many may prove to not be worthy of further pursuit in depth. This allows the user to provide rapid feedback and avoid additional downstream costs.

Using IBM SPSS

10 - Principally clinical development - ie clinical trial data
1 - Experienced users ideally with a statistical background.
  • Human clinical trial data ad hoc analysis
  • Preclinical data analysis
  • Manufacturing stability data trends and analysis
  • Supplement biostatistical analysis often done in SAS
  • Broader use for rapid turnaround analysis by users
Tested, reliable, straight-forward to use.

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