SAS Programming in the Pharmaceutical Industry

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<P>*名称：</P>
<P>SAS Programming in the Pharmaceutical Industry (Paperback) <BR>by Jack Shostak (Author)</P>
<P>Paperback: 360 pages <BR>Publisher: SAS Publishing (September 2005) <BR>Language: English <BR>ISBN-10: 1590477936 <BR>ISBN-13: 978-1590477939 <BR><a href="http://www.amazon.com/Programming-Pharmaceutical-Industry-Jack-Shostak/dp/1590477936/ref=pd_bbs_sr_1/104-5895980-6364743?ie=UTF8&amp;s=books&amp;qid=1178389430&amp;sr=8-1" target="_blank" >http://www.amazon.com/Programming-Pharmaceutical-Industry-Jack-Shostak/dp/1590477936/ref=pd_bbs_sr_1/104-5895980-6364743?ie=UTF8&amp;s=books&amp;qid=1178389430&amp;sr=8-1</A></P>
<P>*大小：352页，7.75M</P>
<P>*格式：PDF</P>
<P>下载：<BR> 113918.zip (5.14 MB, 需要: 15 个论坛币) 本附件包括：

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SAS Programming in the Pharmaceutical Industry
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</P>
<P>*目录</P>
<P>Contents<BR>List of Programs xi<BR>Preface xv<BR>Acknowledgments xvii<BR>Chapter 1 Environment and Guiding Principles 1<BR>The Statistical Programmer’s Working Environment 2<BR>Pharmaceutical Industry Vocabulary 2<BR>Statistical Programmer Work Description 2<BR>The Drug/Device Development Process 3<BR>Industry Regulations and Standards 4<BR>Your Clinical Trial Colleagues 8<BR>Guiding Principles for the Statistical Programmer 10<BR>Understand the Clinical Study 11<BR>Program a Task Once and Reuse Your Code Everywhere 12<BR>Clinical Trial Data Are Dirty 13<BR>Use SAS Macros Judiciously 16<BR>A Good Programmer Is a Good Student 18<BR>Strive to Make Your Programming Readable 18<BR>Chapter 2 Preparing and Classifying Clinical<BR>Trial Data 19<BR>Preparing Clinical Trial Data 20<BR>“Clean” the Data If They Are Needed for Analysis 20<BR>Categorize Data If Necessary 21<BR>Avoid Hardcoding Data 24<BR>iv Contents<BR>Classifying Clinical Trial Data 26<BR>Demographics and Trial-Specific Baseline Data 27<BR>Concomitant or Prior Medication Data 27<BR>Medical History Data 29<BR>Investigational Therapy Drug Log 30<BR>Laboratory Data 31<BR>Adverse Event Data 32<BR>Endpoint/Event Assessment Data 35<BR>Clinical Endpoint Committee (CEC) Data 36<BR>Study Termination Data 37<BR>Treatment Randomization Data 38<BR>Quality-of-Life Data 40<BR>Chapter 3 Importing Data 41<BR>Importing Relational Databases and Clinical Data<BR>Management Systems 42<BR>SAS/ACCESS SQL Pass-Through Facility 42<BR>SAS/ACCESS LIBNAME Statement 43<BR>Importing ASCII Text 44<BR>PROC IMPORT and the Import Wizard 44<BR>SAS DATA Step 52<BR>SAS Enterprise Guide 53<BR>Importing Microsoft Office Files 56<BR>LIBNAME Statement 58<BR>Import Wizard and PROC IMPORT 59<BR>SAS/ACCESS SQL Pass-Through Facility 64<BR>SAS Enterprise Guide 65<BR>Importing XML 68<BR>XML LIBNAME Engine 69<BR>SAS XML Mapper 72<BR>PROC CDISC 74<BR>Importing Files in Other Proprietary Data Formats 79<BR>Contents v<BR>Chapter 4 Transforming Data and Creating Analysis<BR>Data Sets 83<BR>Key Concepts for Creating Analysis Data Sets 84<BR>Defining Variables Once 84<BR>Defining Study Populations 85<BR>Defining Baseline Observations 85<BR>Last Observation Carried Forward (LOCF) 86<BR>Defining Study Day 89<BR>Windowing Data 91<BR>Transposing Data 94<BR>Categorical Data and Why Zero and Missing Results<BR>Differ Greatly 102<BR>Performing Many-to-Many Comparisons/Joins 106<BR>Using Medical Dictionaries 108<BR>Other Tricks and Traps in Data Manipulation 112<BR>Common Analysis Data Sets 118<BR>Critical Variables Data Set 118<BR>Change-from-Baseline Data Set 118<BR>Time-to-Event Data Set 121<BR>Chapter 5 Creating Tables and Listings 125<BR>Creating Tables 126<BR>General Approach to Creating Tables 126<BR>A Typical Clinical Trial Table 127<BR>Using PROC TABULATE to Create Clinical Trial Tables 128<BR>Using PROC REPORT to Create Clinical Trial Tables 132<BR>Creating Continuous/Categorical Summary Tables 137<BR>Creating Adverse Event Summaries 146<BR>Creating Concomitant or Prior Medication Tables 162<BR>Creating a Laboratory Shift Table 169<BR>Creating Kaplan-Meier Survival Estimates Tables 176<BR>Creating Listings 184<BR>vi Contents<BR>Output Appearance Options and Issues 191<BR>Creating ASCII Text Output 191<BR>Creating Rich Text Format (RTF) Output 192<BR>Creating Portable Document Format (PDF) Files 194<BR>“Page X of N” Pagination Solutions 196<BR>Footnote Indicating SAS Program and Date 197<BR>SAS Macro-Based Reporting Systems 198<BR>Chapter 6 Creating Clinical Trial Graphs 199<BR>Common Clinical Trial Graphs 200<BR>Scatter Plot 200<BR>Line Plot 201<BR>Bar Chart 202<BR>Box Plot 203<BR>Odds Ratio Plot 203<BR>Kaplan-Meier Survival Estimates Plot 204<BR>SAS Tools for Creating Clinical Trial Graphs 205<BR>Common Clinical Trial SAS/GRAPH Procedures 205<BR>Using the Annotate Facility for Graph Augmentation 206<BR>Sample Graphs 207<BR>Creating a Scatter Plot 207<BR>Creating a Line Plot 210<BR>Creating a Bar Chart 214<BR>Creating a Box Plot 218<BR>Creating an Odds Ratio Plot 228<BR>Creating a Kaplan-Meier Survival Estimates Plot 233<BR>Output Options 240<BR>Selecting Graphics Drivers 240<BR>Using ODS Destinations for SAS/GRAPH 241<BR>Contents vii<BR>Using SAS/GRAPH Assistants 244<BR>Graph-N-Go 245<BR>SAS Enterprise Guide 245<BR>ODS Graphics 245<BR>When You Should Use SAS/GRAPH 246<BR>Chapter 7 Performing Common Analyses and Obtaining<BR>Statistics 247<BR>Obtaining Descriptive Statistics 248<BR>Using PROC FREQ to Export Descriptive Statistics 248<BR>Using PROC UNIVARIATE to Export Descriptive Statistics 249<BR>Obtaining Inferential Statistics from Categorical Data<BR>Analysis 251<BR>Performing a 2x2 Test for Association 251<BR>Performing an NxP Test for Association 252<BR>Performing a Stratified NxP Test for Association 253<BR>Performing Logistic Regression 254<BR>Obtaining Inferential Statistics from Continuous Data<BR>Analysis 255<BR>Performing a One-Sample Test of the Mean 255<BR>Performing a Two-Sample Test of the Means 257<BR>Performing an N-Sample Test of the Means 258<BR>Obtaining Time-to-Event Analysis Statistics 259<BR>Obtaining Correlation Coefficients 260<BR>General Approach to Obtaining Statistics 260<BR>Chapter 8 Exporting Data 263<BR>Exporting Data to the FDA 264<BR>Using the SAS XPORT Transport Format 264<BR>Creating XML Files 266<BR>Exporting Data Not Destined for the FDA 276<BR>Exporting Data with PROC CPORT 276<BR>Exporting ASCII Text 276<BR>viii Contents<BR>Exporting Data to Microsoft Office Files 283<BR>Exporting Other Proprietary Data Formats 287<BR>Encryption and File Transport Options 288<BR>Chapter 9 The Future of SAS Programming in<BR>Clinical Trials 289<BR>Changes in the Business Environment 290<BR>Changes in Technology 290<BR>Changes in Regulations 291<BR>Changes in Standards 291<BR>Use of SAS Software in the Clinical Trial Industry 292<BR>Chapter 10 Further Resources 293<BR>Regulatory Resources 294<BR>SAS Programming Validation 294<BR>FDA Resources 295<BR>Standards and Industry Organizations 296<BR>SAS Help 296<BR>SAS-L 296<BR>SAS Technical Support 297<BR>SAS Users Groups 297<BR>SAS Manuals and Online Documentation 297<BR>SAS Press 298<BR>Community Pages at SAS 298<BR>Third-Party SAS Web Pages 298<BR>Useful Technical Skills 299<BR>Scripting 299<BR>Version Control Software 299<BR>VBScript/JavaScript for Applications 299<BR>Systems Development Life Cycle 299<BR>Modeling Tools 300<BR>Markup Languages 300<BR>Contents ix<BR>File Transport and Data Encryption Technologies 300<BR>Other Applications Development Languages 300<BR>Qualifying for and Obtaining a Job 301<BR>Glossary 303<BR>Index 321</P>

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关键词：Programming Industry pharmac Program Dust SAS Programming Industry

<P>看到的太晚了，我已经买了本书！但还是得谢谢你！</P>

虽然花了15，但还是很谢谢你，寻觅这本书很久了。

<br><br>再攒一天, 就够钱了, mark 一下, 想这本书很久了. <br>

Great book. <br>

这本书没有用

<p>朋友推荐的这本书，应该还不错吧</p>

<p>不错,多谢共享!这本书应该是不错的.怎么说没用,有本事你也写一两本这样没用的给咱看看!</p>

<a href="http://www.amazon.co.jp/Pharmaceutical-Statistics-Using-SAS-Practical/dp/159047886X/ref=sr_1_1/249-3817449-5161925?ie=UTF8&amp;s=english-books&amp;qid=1193983480&amp;sr=1-1"><span class="srTitle"><strong><font color="#003399">Pharmaceutical Statistics Using SAS: A Practical Guide (SAS Press)</font></strong></span></a> 这本谁有呀?

<p>哎,只有等我级别高的时候才有能力买了</p><p>可是,最近老师布置的建模作业怎么办呢?我得先学好SAS才能做啊!</p>