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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.
  • A broad variety of statistical tests
  • Handles various types of data
  • Relatively easy to use and share
  • 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
In the recent analysis of clinical trial data, it allowed us to mine data quickly and make midstream corrections in the data analysis and approaches. Had we had to send every inquiry to our external consultant statistician, it would have taken much time, cost lots of money for each additional analysis and our people would not have gained the insight into the data which they gained by reviewing and analyzing these data themselves.
See prior question comments. We believe the impact was significant in decision making and identification of new insights into how this new drug molecule worked that we had not previously anticipated.
None
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.