SAS Day 31: Scatter Plot and Fancy Scatter Plot Yesterday I found an unwanted Graphics in SAS book; it has a very clean layout so i took it. I found there are many useful tips for creating SAS graphs, i would like to share with you.
SAS day 30: Row Sum In a statistical report, Total Columns and Total Rows are very useful to show the integrity of the data. This raises the question, how do we generate the Total Column or the Total Row? We know the SUM function (sum(., c1-cn)) or Proc SQL SUM are great ways to produce the Column Sum. Today we will…
SAS Day 29 Proc Lifetest – Confidence Interval Last time we went over the Kaplan Meier Plot. Today, we will go over a sample program to generate the x% Confidence Interval in Proc Lifetest.
SAS day 28: Proc Lifetest 1 What are the foundations for FDA or NDA to approve a new medication besides its safety concerns? Many of us would think about the efficacy of the drug. If we dig in the question a bit further, how do we evaluate the efficacy then?
ADaM Day 1 In clinical trials, ADSL(Subject-Level Analysis Dataset) is the foundation of all ADaM analysis dataset, it is one record per subjects; it captures subjects’ population flag 🚩, treatment-related info, vital sign info♂, baseline disease info, and other info respect to different study designs.
SAS Day 27: Proc Means We use Statistical summary to demonstrate the mean, median, max, min, Q1, Q3.. In SAS we can either use Proc Means or Proc Univariate to achieve the goals. Today we will introduce how to generate statistical summary using Proc Means. Basic Syntax: proc means data= dummy noprint; var age; /*Any continuous variable: age, weight, height*/…
SAS Day 26: Column Output Background: For table outputs, some times we want both the count and an overall percentage for each category rather than a simple number count. E.g. 75( 74): 75 count represents 74% of the total number in this group. In order to generate this output format, we need the variable count(c1,c2..) and group total (&n1, &n2..).
SAS Day 25: Marco Space Trick Background: Last time, we did a little summary of the Space Function in SAS. Generally, it is enough, however, what if we want to manipulate the space inside a Macro? the general space function such as Trim, Compress, Compbl, Strip would NOT work sometime. Problem: We want to remove the extra empty…
SAS Day 24: Space Trick Background: My boss has a motto “Devil in the details“. I think all the Space- Related issues are the “Devil” in SAS. Today, we will go over the function and tricks I used to deal with Space. Remove Space: Compress, Compbl, Strip, Trim Concatenate with Remove Space: ||, CAT, CATS, CATX, CATT
Today I will share some Basic Oncology Knowledge I found in my old notebook: RECIST 1.1: Complete Response (CR): Disappearance of all non-nodal target lesion Partial Response (PR) : At least 30% decrease in the sum of diameters of target lesions compared with the baseline sum diameters.