SAS Training for Clinical Trials (with Project) - Training Duration: 50 hours

Transcription

1 SAS Training fr Clinical Trials (with Prject) - Training Duratin: 50 hurs Take Away: Clinical SAS bks Class ntes, Cding fr reference, Assignments fr practice Dump questins fr certificatin exam preparatin Interview questins, Resume preparatin. Curse Cntent / Tpics: Intrductin f SAS sftware. Industries using SAS Cmpnents f SAS System. Architecture f SAS system. Functinality f SAS System. Intrductin f SAS windws Wrking in the SAS Envirnment Functinality f SAS Windws. Creating and managing SAS Libraries. Overview f SAS Data states. Types f Libraries. String files temprarily and permanently. Referencing SAS files. Creatin database frm raw data Steps t create a SAS dataset. Creating SAS dataset using text file. Creating SAS dataset using text file with delimiters. Creating SAS dataset using structured text file. Creating SAS dataset using unstructured text file.

2 Creating SAS dataset using Excel file. Creating SAS dataset using Access file. Creating SAS dataset using values inside the cde. Autmatic variables Use f autmatic variables. Types f autmatics variables. Use f _N_, _ERROR_, _NULL_. Testing yur prgrams. Using put statement. Autmatic Variable. Output delivery system Cncepts f utput delivery system. Hw ODS wrks and viewing utput f ODS in different frmat. HTML, RTF, PDF etc.. Cmbinatin the dataset One--ne reading One t many Many t many Cncatenatin Interleaving, Match merge Functins Character functin

3 Numerical functin Arithmetical functin Mathematical functin Date Functin Sampling methd Randm sampling Lps in SAS: D Lps Lps are used t iterate thrugh every bservatin fr specified number f times t btain a desired result Types f Lps: D Lp D While D Until Default increments by 1 Can use BY t increment by any value ther than 1 Array Definitin f array Example f array PROCEDURES Prcedure Frmat. Prcedure Cntents. Prcedure Optins.

4 Prcedure Append. Prcedure Cmpare. Prcedure Transpse. Prcedure Print. Prcedure Imprt. Prcedure Exprt. Prcedure Datasets. Prcedure Tabulate. Prcedure Chart, Gchart, Gplt. Prcedure Reprt. GRAPHS Intrductin t graphics. Intrductin t graphics. Types f Graphics (with latest mdels) Defining prcedure Graphics. Advance SAS Tpic PrcSql Generate detail reprts by wrking with a single table, jining tables, r using set peratrs in the SQL prcedure. Generate summary reprts by wrking with a single table, jining tables, r using set peratrs in the SQL prcedure. Cnstruct sub-queries and in-line views within an SQL prcedure step.

5 Cmpare slving a prblem using the SQL prcedure versus using traditinal SAS prgramming techniques. Macr Create and use user-defined and autmatic macr variables within the SAS Macr Language. Autmate prgrams by defining and calling macrs using the SAS Macr Language. Understand the use f macr functins. Intrductin f SAS and Clinical research SAS rle in Clinical Research. What is Clinical trial? What is Prtcl and rle f Prtcl in Clinical Research? Which is playing main rle in Clinical Research? Clinical Trials Data Structures Identify the classes f clinical trials data (demgraphic, lab, baseline, cncmitant medicatin, etc.). Identify key CDISC principals and terms. Describe the structure and purpse f the CDISC SDTM data mdel. Describe the structure and purpse f the CDISC ADaM data mdel. Describe the cntents and purpse f define.xml. Statistic and Reprt Clinical Trials Results Use SAS prcedures t btain descriptive statistics fr clinical trials data

6 (FREQ, UNIVARIATE, MEANS, SUMMARY). Use PROC FREQ t btain p-values fr categrical data (2 2 and NxP test fr assciatin). Use PROC TTEST t btain p-values fr cntinuus data (ne-sample, paired and tw-sample t-tests). Create utput data sets frm statistical prcedures. Using ODS with PROC REPORT and PROC TABULATE t generate nice lking tables and listings Prducing Bar and Pie charts using PROC GPLOT and PROC GCHART Transfrm Clinical Trials Data Apply categrizatin and windwing techniques t clinical trials data. Transpse SAS data sets. Apply bservatin carry frward techniques t clinical trials data (LOCF, BOCF, WOCF). Calculate change frm baseline results. Basic Statistic Data Explratin Data Preparatin Summary Statistics Summary Statistics - Central Tendency Summary Statistics - Central Tendency Intrductin t Statistics - Descriptive Statistics Intrductin t Statistics -Samples and Ppulatins Hypthesis Testing

7 Cncept f hypthesis testing Chisq Anva Additinal Supprt: Clinical Prject