Lyme disease is the most common vector-borne disease in the United States. Diagnostic errors are ... more Lyme disease is the most common vector-borne disease in the United States. Diagnostic errors are believed to be common. Errors stemming from delayed or inaccurate diagnosis are generally the number one cause of serious harms among medical errors. The Agency for Healthcare Research and Quality has made reduction of diagnostic errors one of its three strategic priorities. The National Academy of Medicine (NAM) has developed a schematic to identify points in the medical care system where diagnostic errors occur. It defines diagnostic medical error as "the failure to (a) establish an accurate and timely explanation of the patient's health problem(s) or (b) communicate that explanation to the patient." NAM looks at errors that occur when the patient first encounters the healthcare system, when clinical history is taken, during physical exam, and when diagnostic testing is being conducted. They then look at the consequences and costs of the diagnostic errors. This study anal...
SAS ® Enterprise Guide ® empowers organizations exploiting the power of SAS by offering programme... more SAS ® Enterprise Guide ® empowers organizations exploiting the power of SAS by offering programmers, business analysts, statisticians and end-users with powerful built-in wizards to perform a multitude of reporting and analytical tasks, access multi-platform enterprise data sources, deliver data and results to a variety of mediums and outlets, perform important data manipulations without the need to learn complex coding constructs, and support data management and documentation requirements quickly and easily. Attendees learn how to use the graphical user interface (GUI) to access tab-delimited and Excel input files; subset, group, and summarize data; join two or more tables together; flexibly export results to HTML, PDF and Excel; and visually manage projects using flowcharts and diagrams.
Like many long-standing SAS users and Data Step programmers, I avoided learning Proc SQL for many... more Like many long-standing SAS users and Data Step programmers, I avoided learning Proc SQL for many years. After making the decision to take the plunge and add Proc SQL to my toolkit of techniques, I went overboard and began using Proc SQL for everything. This paper describes my approach to choosing between Proc SQL and the Data Step for particular tasks. This paper is appropriate for beginning SAS users who have a basic understanding of the Data Step and Proc SQL. In this example we have two data sets for a case control study, one with information about our cases and another with information about our controls. We want to find all the potential healthy controls for our cases. We have been told that we must match the controls to the cases by sex and year of birth. We have also been told that there may be more than one control per case and that is desirable since that will give us an opportunity to randomly select one control per case. Furthermore, many of the variables in both of the ...
Importing Microsoft Excel files into SAS can often be a challenge. Perfectly formatted Excel file... more Importing Microsoft Excel files into SAS can often be a challenge. Perfectly formatted Excel files with labels in the first row and idiosyncrasy-free, clean data is not usually the norm. We will show how to overcome many of the obstacles associated with creating SAS data sets from Excel workbooks by using various combinations of SAS Enterprise Guide 4.3's features. The import wizard, generated code, code suggestion mechanism, options, and the ability to preview the first section of a CSV file will all be shown as mechanisms for creating analytic data sets from Excel input.
Longtime SAS users can benefit by adding JMP to their repertoire. JMP provides an easy-to-use and... more Longtime SAS users can benefit by adding JMP to their repertoire. JMP provides an easy-to-use and robust environment for data exploration, graphics and analytics without the need for programming expertise. This paper will provide an introduction to JMP 9 with an emphasis on features that SAS users will find useful. During this presentation, users will learn how to read their SAS data, import Excel spreadsheets, transform their data, explore distributions, create reports and create sophisticated graphics all in the JMP environment. Users will be introduced to the tools within the JMP 9 environment that provide a pathway to quickly learn how to use the product and some of its unique features.
Lyme disease is the most common vector-borne disease in the United States. Diagnostic errors are ... more Lyme disease is the most common vector-borne disease in the United States. Diagnostic errors are believed to be common. Errors stemming from delayed or inaccurate diagnosis are generally the number one cause of serious harms among medical errors. The Agency for Healthcare Research and Quality has made reduction of diagnostic errors one of its three strategic priorities. The National Academy of Medicine (NAM) has developed a schematic to identify points in the medical care system where diagnostic errors occur. It defines diagnostic medical error as "the failure to (a) establish an accurate and timely explanation of the patient's health problem(s) or (b) communicate that explanation to the patient." NAM looks at errors that occur when the patient first encounters the healthcare system, when clinical history is taken, during physical exam, and when diagnostic testing is being conducted. They then look at the consequences and costs of the diagnostic errors. This study anal...
SAS ® Enterprise Guide ® empowers organizations exploiting the power of SAS by offering programme... more SAS ® Enterprise Guide ® empowers organizations exploiting the power of SAS by offering programmers, business analysts, statisticians and end-users with powerful built-in wizards to perform a multitude of reporting and analytical tasks, access multi-platform enterprise data sources, deliver data and results to a variety of mediums and outlets, perform important data manipulations without the need to learn complex coding constructs, and support data management and documentation requirements quickly and easily. Attendees learn how to use the graphical user interface (GUI) to access tab-delimited and Excel input files; subset, group, and summarize data; join two or more tables together; flexibly export results to HTML, PDF and Excel; and visually manage projects using flowcharts and diagrams.
Like many long-standing SAS users and Data Step programmers, I avoided learning Proc SQL for many... more Like many long-standing SAS users and Data Step programmers, I avoided learning Proc SQL for many years. After making the decision to take the plunge and add Proc SQL to my toolkit of techniques, I went overboard and began using Proc SQL for everything. This paper describes my approach to choosing between Proc SQL and the Data Step for particular tasks. This paper is appropriate for beginning SAS users who have a basic understanding of the Data Step and Proc SQL. In this example we have two data sets for a case control study, one with information about our cases and another with information about our controls. We want to find all the potential healthy controls for our cases. We have been told that we must match the controls to the cases by sex and year of birth. We have also been told that there may be more than one control per case and that is desirable since that will give us an opportunity to randomly select one control per case. Furthermore, many of the variables in both of the ...
Importing Microsoft Excel files into SAS can often be a challenge. Perfectly formatted Excel file... more Importing Microsoft Excel files into SAS can often be a challenge. Perfectly formatted Excel files with labels in the first row and idiosyncrasy-free, clean data is not usually the norm. We will show how to overcome many of the obstacles associated with creating SAS data sets from Excel workbooks by using various combinations of SAS Enterprise Guide 4.3's features. The import wizard, generated code, code suggestion mechanism, options, and the ability to preview the first section of a CSV file will all be shown as mechanisms for creating analytic data sets from Excel input.
Longtime SAS users can benefit by adding JMP to their repertoire. JMP provides an easy-to-use and... more Longtime SAS users can benefit by adding JMP to their repertoire. JMP provides an easy-to-use and robust environment for data exploration, graphics and analytics without the need for programming expertise. This paper will provide an introduction to JMP 9 with an emphasis on features that SAS users will find useful. During this presentation, users will learn how to read their SAS data, import Excel spreadsheets, transform their data, explore distributions, create reports and create sophisticated graphics all in the JMP environment. Users will be introduced to the tools within the JMP 9 environment that provide a pathway to quickly learn how to use the product and some of its unique features.
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Papers by Mira Shapiro