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The Simplest Guide to Clinical Data Analysis with SAS

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3:46:40

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  • 01.01-components of the pharmalife sciences industry.mp4
    04:48
  • 01.01-components of the pharmalife sciences industry 1.mp4
    04:48
  • 01.02-phases of clinical trials.mp4
    05:41
  • 01.02-phases of clinical trials 1.mp4
    05:41
  • 01.03-data and reports in clinical trials.mp4
    03:55
  • 01.03-data and reports in clinical trials 1.mp4
    03:55
  • 01.04-types of data in clinical trials.mp4
    04:34
  • 01.04-types of data in clinical trials 1.mp4
    04:34
  • 02.01-the clinical study protocol.mp4
    02:10
  • 02.01-the clinical study protocol 1.mp4
    02:10
  • 02.02-the informed consent.mp4
    00:35
  • 02.02-the informed consent 1.mp4
    00:35
  • 02.03-the inclusion-exclusion criteria.mp4
    01:08
  • 02.03-the inclusion-exclusion criteria 1.mp4
    01:08
  • 02.04-the statistical analysis plan (sap) mock shells and case report forms (crfs).mp4
    03:38
  • 02.04-the statistical analysis plan (sap) mock shells and case report forms (crfs) 1.mp4
    03:38
  • 03.01-general sas programming steps to build any csrs.mp4
    02:14
  • 03.01-general sas programming steps to build any csrs 1.mp4
    02:14
  • 03.02-understanding the demographics case report form (crf).mp4
    04:17
  • 03.02-understanding the demographics case report form (crf) 1.mp4
    04:17
  • 03.03-understanding the demographics table.mp4
    03:18
  • 03.03-understanding the demographics table 1.mp4
    03:18
  • 03.04-planning to program the demographics table.mp4
    05:11
  • 03.04-planning to program the demographics table 1.mp4
    05:11
  • 03.05-importing raw demographics data into sas.mp4
    04:27
  • 03.05-importing raw demographics data into sas 1.mp4
    04:27
  • 03.06-deciding which procs to use.mp4
    01:43
  • 03.06-deciding which procs to use 1.mp4
    01:43
  • 03.07-deriving the age variable.mp4
    10:13
  • 03.07-deriving the age variable 1.mp4
    10:13
  • 03.08-obtaining summary statistics for age.mp4
    03:37
  • 03.08-obtaining summary statistics for age 1.mp4
    03:37
  • 03.09-adding the 3rd treatment group using explicit output.mp4
    05:21
  • 03.09-adding the 3rd treatment group using explicit output 1.mp4
    05:21
  • 03.10-deriving the sex variable.mp4
    03:21
  • 03.10-deriving the sex variable 1.mp4
    03:21
  • 03.11-obtaining summary statistics for sex.mp4
    03:08
  • 03.11-obtaining summary statistics for sex 1.mp4
    03:08
  • 03.12-concatenating the count and percent variables.mp4
    02:51
  • 03.12-concatenating the count and percent variables 1.mp4
    02:51
  • 03.13-deriving the race variable.mp4
    02:47
  • 03.13-deriving the race variable 1.mp4
    02:47
  • 03.14-obtaining summary statistics for race.mp4
    02:55
  • 03.14-obtaining summary statistics for race 1.mp4
    02:55
  • 03.15-stacking all 3 summary statistics together.mp4
    05:42
  • 03.15-stacking all 3 summary statistics together 1.mp4
    05:42
  • 03.16-fixing the precision points.mp4
    03:53
  • 03.16-fixing the precision points 1.mp4
    03:53
  • 03.17-transposing data.mp4
    02:36
  • 03.17-transposing data 1.mp4
    02:36
  • 03.18-fixing the order of statistical parameters.mp4
    05:05
  • 03.18-fixing the order of statistical parameters 1.mp4
    05:05
  • 03.19-building the final report.mp4
    01:51
  • 03.19-building the final report 1.mp4
    01:51
  • 03.20-putting the finishing touches to the report.mp4
    10:39
  • 03.20-putting the finishing touches to the report 1.mp4
    10:39
  • 03.21-whats next.mp4
    01:42
  • 03.21-whats next 1.mp4
    01:42
  • 9781801077095 Code.zip
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    SAS

    Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.
    • language english
    • Training sessions 58
    • duration 3:46:40
    • Release Date 2024/04/21