Free Online Bible Commentaries on all Books of the Bible. Authored by John Schultz, who served many decades as a C&MA Missionary and Bible teacher in Papua, Indonesia. His insights are lived-through, profound and rich of application.
Access the Download Library/* Paired t-test to compare means */ proc ttest data=bp_data; paired bp_before* bp_after; where treatment = 1; /* Optional: to analyze only those with treatment */ run; This example introduces basic SAS syntax for data creation, descriptive statistics, and a paired t-test. A real analysis would involve more complex data management, detailed methodological considerations, and interpretation of results within the context of the medical question being addressed.
/* Descriptive statistics */ proc means data=bp_data; var bp_before bp_after; run;
Statistical Analysis of Medical Data Using SAS
For a more detailed exploration, here's a hypothetical example of how one might structure a simple analysis in SAS:
/* Create a sample dataset */ data bp_data; input patient_id treatment bp_before bp_after; datalines; 1 0 120 130 2 1 140 110 3 0 110 125 4 1 130 105 ; run;
Let's say we want to compare the mean blood pressure of patients before and after a certain treatment.
For actual, in-depth analysis and insight into specific medical data, consulting and referencing peer-reviewed journals and textbooks on SAS programming and medical statistics are invaluable resources.
Copyright (c) John Schultz. All Rights Reserved.
Permission is given to view the material on the www.bible-commentaries.com web pages and save that material only for your future personal non-commercial reference. Do not further copy, modify, use or distribute the material in any way unless you obtain the permission of John Schultz. We are unable to routinely inspect or confirm the material contained on the web pages that are linked to this page are correct in every case. We provide the information on these web pages as is and without any warranties. We disclaim all express and implied warranties, including merchantibility and fitness for a particular purpose. In no event will will be liable for any loss of profits, business, use, or data or for indirect, special, accidental or consequential damages of any kind whether based in contract, negligence or other tort. We may make changes to the web site materials and the product information and prices at any time without notice and without obligation to update the materials contained on these pages.
All Bible quotations in the material of rev. John Schultz, unless indicated otherwise:
New International Version The Holy Bible, New International Version. Copyright (c) 1973, 1978, 1984 by the International Bible Society. All Rights Reserved.
/* Paired t-test to compare means */ proc ttest data=bp_data; paired bp_before* bp_after; where treatment = 1; /* Optional: to analyze only those with treatment */ run; This example introduces basic SAS syntax for data creation, descriptive statistics, and a paired t-test. A real analysis would involve more complex data management, detailed methodological considerations, and interpretation of results within the context of the medical question being addressed.
/* Descriptive statistics */ proc means data=bp_data; var bp_before bp_after; run;
Statistical Analysis of Medical Data Using SAS
For a more detailed exploration, here's a hypothetical example of how one might structure a simple analysis in SAS:
/* Create a sample dataset */ data bp_data; input patient_id treatment bp_before bp_after; datalines; 1 0 120 130 2 1 140 110 3 0 110 125 4 1 130 105 ; run;
Let's say we want to compare the mean blood pressure of patients before and after a certain treatment.
For actual, in-depth analysis and insight into specific medical data, consulting and referencing peer-reviewed journals and textbooks on SAS programming and medical statistics are invaluable resources.
