ClinTrialStat FoldScan
2.0
ClinTrialStat Inc
What is ClinTrialStat FoldScan?
ClinTrialStat FoldScan 2.0 is a tool to help statisticians
efficiently and effectively review analysis datasets. In addition, FoldScan 2.0
also has the capability to validate tables created for clinical trials. This software is able to automatically create metadata documents from the
analysis datasets of clinical trials and to use that data to summarize
statistics of variables in a dataset by treatment groups. Statisticians can use
this tool to easily and proficiently validate tables produced by SAS programs.
Finally, ClinTrialStat
FoldScan 2.0 also has the ability to
generate a standard CDISC define.xml file for each dataset.
Who should use
ClinTrialStat FoldScan?
Anyone involved in developing Protocol procedures and CRFs of clinical trials.
Major Features
，
Automatically creates a Word
document table of summary statistics on variables in a dataset by user
specified treatment variables
，
Automatically creates summary
statistics of variables in a dataset by user specified treatment variables in
Excel file
，
Automatically creates metadata of
all datasets in a file directory.
，
Automatically creates a summary
statistic of variables in a dataset by user specified treatment variables. .
，
Automatically creates a CDISC
Standard define.xml file for all datasets in a file directory.
，
Automatically creates a
＾Table-of-Contents￣ file with hyperlinks to all tables in a file directory.
，
Automatically inserts all tables
in a file directory into one file with the titles of each table being set as
bookmarks. Furthermore, this can be converted into PDF format for
submission.
Requirements
， Supported Operating Systems: Microsoft Windows 9X/NT/2000/XP (Windows 9X/NT/2000 need to be updated with .NET Framework 2.0)
，
Make a Table of
Summary Statistics on Variables in a SAS Dataset
Following is
the FoldScan generated Word Table. You and add title and footnote to this table.
|
|
(Summary Statistics) Placebo (N=134) |
(Summary Statistics) Study Drug 50 mg (N=267) |
|
|
|
|
|
Age at Baseline (year) |
||
|
N |
134 |
267 |
|
Mean |
61.37 |
63.33 |
|
SD |
10.45 |
11.13 |
|
Median |
61 |
63 |
|
Min |
36 |
24 |
|
Max |
88 |
89 |
|
|
|
|
|
Age Category Code |
||
|
40-64 |
81/134 (60.4%) |
140/267 (52.4%) |
|
>=65 |
| |