SAS Programming In The Pharmaceutical Industry, Second .
From SAS Programming in the Pharmaceutical Industry,Second Edition. Full book available for purchase here.ContentsList of Programs . xiAbout This Book .xvAbout The Author .xixAcknowledgements .xxiChapter 1 Environment and Guiding Principles . 1The Statistical Programmer’s Working Environment . 2Pharmaceutical Industry Vocabulary . 2Statistical Programmer Work Description . 2The Drug/Device Development Process . 3Industry Regulations and Standards . 4Your Clinical Trial Colleagues . 8Guiding Principles for the Statistical Programmer . 10Understand the Clinical Study . 10Program a Task Once and Reuse Your Code Everywhere. 11Clinical Trial Data Are Dirty . 13Use SAS Macros Judiciously . 15A Good Programmer Is a Good Student . 17Strive to Make Your Programming Readable . 17Chapter 2 Preparing and Classifying Clinical Trial Data . 19Preparing Clinical Trial Data . 20“Clean” the Data If They Are Needed for Analysis . 20Categorize Data If Necessary . 21Avoid Hardcoding Data . 24Classifying Clinical Trial Data . 26Demographics and Trial-Specific Baseline Data. 27
vi ContentsConcomitant or Prior Medication Data . 27Medical History Data . 28Investigational Therapy Drug Log . 29Laboratory Data . 30Adverse Event Data . 31Endpoint/Event Assessment Data . 34Clinical Endpoint Committee (CEC) Data . 35Study Termination Data . 36Treatment Randomization Data . 36Quality-of-Life Data . 38Chapter 3 Importing Data . 39Importing Relational Databases and Clinical Data Management Systems . 40SAS/ACCESS SQL Pass-Through Facility . 40SAS/ACCESS LIBNAME Statement . 41Importing ASCII Text . 41PROC IMPORT and the Import Wizard . 42SAS DATA Step . 48SAS Enterprise Guide . 49Importing Microsoft Office Files . 52LIBNAME Statement . 53Import Wizard and PROC IMPORT . 55SAS/ACCESS SQL Pass-Through Facility . 58SAS Enterprise Guide . 59Importing XML . 62XML LIBNAME Engine . 63SAS XML Mapper . 67Importing CDISC Model Content Files . 68Importing CDISC SAS Transport Format Files . 69Importing define.xml . 69Importing CDISC ODM Files . 70Chapter 4 Transforming Data and Creating Analysis Data Sets . 71Key Concepts for Creating Analysis Data Sets. 72Defining Variables Once . 72Defining Study Populations . 72
Contents viiDefining Baseline Observations . 73Last Observation Carried Forward (LOCF) . 73Defining Study Day . 78Windowing Data . 78Transposing Data . 82Categorical Data and Why Zero and Missing Results Differ Greatly . 90Performing Many-to-Many Comparisons/Joins . 93Using Medical Dictionaries . 95Other Tricks and Traps in Data Manipulation . 99Common Analysis Data Sets . 105Subject Level Analysis Data Set. 105Change-from-Baseline Data Set . 105Time-to-Event Data Set. 108Chapter 5 Creating Tables and Listings . 113Creating Tables . 114General Approach to Creating Tables . 114A Typical Clinical Trial Table . 114Using PROC TABULATE to Create Clinical Trial Tables . 116Using PROC REPORT to Create Clinical Trial Tables . 118Creating Typical Continuous/Categorical Summary Tables . 122Creating Adverse Event Summaries . 130Creating Concomitant or Prior Medication Tables . 140Creating a Laboratory Shift Table . 145Creating Kaplan-Meier Survival Estimates Tables . 152Creating Listings . 159Output Appearance Options and Issues . 164Creating ASCII Text Output . 164Creating Rich Text Format (RTF) Output. 165Creating Portable Document Format (PDF) Files . 167“Page X of N” Pagination Solutions . 168Footnote Indicating SAS Program and Date . 170ODS Report Writing Interface. 170The Power of ODS STYLE . 170SAS Macro-Based Reporting Systems . 172Chapter 6 Creating Clinical Trial Graphs . 173
viii ContentsCommon Clinical Trial Graphs . 174Scatter Plot . 174Line Plot . 174Bar Chart . 175Box Plot. 176Forest Plot . 176Kaplan-Meier Survival Estimates Plot . 177SAS Tools for Creating Clinical Trial Graphs . 178Sample Graphs . 179Creating a Scatter Plot . 179Creating a Line Plot . 182Creating a Bar Chart. 185Creating a Box Plot . 189Creating a Forest Plot . 193Creating a Kaplan-Meier Survival Estimates Plot . 198Using SAS Graphics Assistants . 212Graph-N-Go . 212SAS Enterprise Guide . 213ODS Graphics Designer . 213ODS Graphics Editor . 213When You Should Use SAS Graphics. 214Chapter 7 Performing Common Analyses and Obtaining Statistics . 215Obtaining Descriptive Statistics . 216Using PROC FREQ to Export Descriptive Statistics . 216Using PROC UNIVARIATE to Export Descriptive Statistics . 217Obtaining Inferential Statistics from Categorical Data Analysis . 218Performing a 2x2 Test for Association . 218Performing an NxP Test for Association . 219Performing a Stratified NxP Test for Association . 220Performing Logistic Regression . 221Obtaining Inferential Statistics from Continuous Data Analysis . 221Performing a One-Sample Test of the Mean . 221Performing a Two-Sample Test of the Means . 223Performing an N-Sample Test of the Means . 224Obtaining Time-to-Event Analysis Statistics . 225
Contents ixObtaining Correlation Coefficients . 226General Approach to Obtaining Statistics . 226Chapter 8 Exporting Data . 229Exporting Data to the FDA . 229Using the SAS XPORT Transport Format . 230Creating ODM XML and define.xml . 231Exporting Data Not Destined for the FDA. 232Exporting Data with PROC CPORT . 232Exporting ASCII Text . 233Exporting Data to Microsoft Office Files . 240Exporting Other Proprietary Data Formats . 243Encryption and File Transport Options . 244Chapter 9 The Future of SAS Programming in Clinical Trials . 245Changes in the Business Environment . 245Changes in Technology . 246Changes in Regulations . 246Changes in Standards . 247Use of SAS Software in the Clinical Trial Industry . 247Chapter 10 Further Resources. 249Regulatory Resources . 250SAS Programming Validation . 250FDA Resources . 250Standards and Industry Organizations . 251SAS Help. 252Google Search. 252lexjansen.com . 252SAS-L . 252SAS Technical Support . 252SAS Users Groups . 253SAS Manuals and Online Documentation . 253SAS Press . 253SAS Focus Areas . 253Third-Party SAS Web Pages . 254Useful Technica
Contents. ix Obtaining Correlation Coefficients. 226 General Approach to Obtaining Statistics . 226
POStERallows manual ordering and automated re-ordering on re-execution pgm1.sas pgm2.sas pgm3.sas pgm4.sas pgm5.sas pgm6.sas pgm7.sas pgm8.sas pgm9.sas pgm10.sas pgm1.sas pgm2.sas pgm3.sas pgm4.sas pgm5.sas pgm6.sas pgm7.sas pgm8.sas pgm9.sas pgm10.sas 65 min 45 min 144% 100%
May 02, 2018 · D. Program Evaluation ͟The organization has provided a description of the framework for how each program will be evaluated. The framework should include all the elements below: ͟The evaluation methods are cost-effective for the organization ͟Quantitative and qualitative data is being collected (at Basics tier, data collection must have begun)
Silat is a combative art of self-defense and survival rooted from Matay archipelago. It was traced at thé early of Langkasuka Kingdom (2nd century CE) till thé reign of Melaka (Malaysia) Sultanate era (13th century). Silat has now evolved to become part of social culture and tradition with thé appearance of a fine physical and spiritual .
SAS OLAP Cubes SAS Add-In for Microsoft Office SAS Data Integration Studio SAS Enterprise Guide SAS Enterprise Miner SAS Forecast Studio SAS Information Map Studio SAS Management Console SAS Model Manager SAS OLAP Cube Studio SAS Workflow Studio JMP Other SAS analytics and solutions Third-party Data
Both SAS SUPER 100 and SAS SUPER 180 are identified by the “SAS SUPER” logo on the right side of the instrument. The SAS SUPER 180 air sampler is recognizable by the SAS SUPER 180 logo that appears on the display when the operator turns on the unit. Rev. 9 Pg. 7File Size: 1MBPage Count: 40Explore furtherOperating Instructions for the SAS Super 180www.usmslab.comOPERATING INSTRUCTIONS AND MAINTENANCE MANUALassetcloud.roccommerce.netAir samplers, SAS Super DUO 360 VWRuk.vwr.comMAS-100 NT Manual PDF Calibration Microsoft Windowswww.scribd.com“SAS SUPER 100/180”, “DUO SAS SUPER 360”, “SAS .archive-resources.coleparmer Recommended to you b
On an exceptional basis, Member States may request UNESCO to provide thé candidates with access to thé platform so they can complète thé form by themselves. Thèse requests must be addressed to esd rize unesco. or by 15 A ril 2021 UNESCO will provide thé nomineewith accessto thé platform via their émail address.
̶The leading indicator of employee engagement is based on the quality of the relationship between employee and supervisor Empower your managers! ̶Help them understand the impact on the organization ̶Share important changes, plan options, tasks, and deadlines ̶Provide key messages and talking points ̶Prepare them to answer employee questions
Dr. Sunita Bharatwal** Dr. Pawan Garga*** Abstract Customer satisfaction is derived from thè functionalities and values, a product or Service can provide. The current study aims to segregate thè dimensions of ordine Service quality and gather insights on its impact on web shopping. The trends of purchases have
