Blogs

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Tag: Clinical Graphs

Analysis of clinical data is easier when the data is presented in a visual form. Clinical graphs have special requirements to deliver study data together in one concise graph, often with statistical information that is aligned with the data values on the x or y axis. SAS SG Procedures and GTL provide you the features you need to create effective clinical graphs. Also see “Clinical Graphs using SAS”, a SAS Press.

Data Visualization | Learn SAS | Programming Tips

Sanjay MatangeFebruary 19, 2018 0

Survival plot with a twist using SGPLOT procedure

Survival plots are automatically created by the LIFETEST procedure. These graphs are most often customized to fit the needs of SAS users. One way to create the customized survival plot is to save the generated data from the LIFETEST procedure, and then use the SGPLOT procedure to create your custom

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Communications | Health Care | Insurance | Life Sciences

Data Visualization | Learn SAS | Programming Tips

Sanjay MatangeJanuary 11, 2018 0

A 3D waterfall chart

A few months ago, a user inquired about a chart that showed tumor response and treatment duration for each subject on 2 different planes of a 3D view. The data was really 2D, with one independent variable (the subject id) and two or more response values. I had provided an

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Health Care | Life Sciences

Data Visualization

Sanjay MatangeJuly 30, 2017 0

Clinical graphs: Waterfall plot ++

Waterfall plots have gained in popularity as a means to visualize the change in tumor size for subjects in a study. The graph displays the reduction in tumor size in ascending order with the subjects with the most reduction on the right. Each subject is represented by a bar classified by

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Data Visualization | Programming Tips

Warren F. KuhfeldJune 12, 2017 0

Customizing the Kaplan-Meier Plot

Customizing the Kaplan-Meier plot in assorted ways is so popular that we devote an entire chapter to it in the SAS/STAT documentation.

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Data Visualization

Sanjay MatangeOctober 24, 2016 0

Clinical Graphs: Spider plot

A Spider Plot is another way of presenting the Change from Baseline for tumors for each subject in a study by week. The plot can be classified by response and stage. Another way of displaying Tumor Response data was discussed earlier in the article on Swimmer Plot. This article is prompted

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Data Visualization

Sanjay MatangeOctober 20, 2016 0

Outside-the-box: CONSORT diagram

Over the past few weeks I have heard about the "Consort Diagram". This was mentioned in a Communities article, and also by a couple of users separately. This topic was also covered by Anusha Mallavarapu and Dean Shults from Cytel in a poster at PhUSE 2016 as shown on the

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Data Visualization

Sanjay MatangeAugust 27, 2016 0

Clinical Graphs - Risk Difference Plots

Often I have written articles that are motivated by some question by a user on how to create a particular graph, or how to work around some shortcoming in the feature set to create the graph you need. This time, I got a question about Clinical Graphs that were mostly working

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Data Visualization

Sanjay MatangeAugust 15, 2016 0

Clinical Graphs: A1c Plot

Last week I was visiting San Diego for the SANDS conference. I always enjoy this conference as I get to interact closely with the users to hear of their pains and innovative solutions to creating Clinical Graphs. In the conference Ed Barber asked about displaying A1c data along with some

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Data Visualization

Sanjay MatangeMay 30, 2016 0

CTSPedia Clinical Graphs - Subgrouped Forest Plot

The advent of the AXISTABLE statement with SAS 9.4, has made it considerably easier to create graphs that include statistics aligned with x-axis values (Survival Plot) or with the y-axis (Forest Plot). This statement was specifically designed to address such needs, and includes the options needed to control the text attributes of

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Data Visualization

Sanjay MatangeMay 23, 2016 0

CTSPedia Clinical Graphs - Volcano Plot

A Volcano Plot is a type of scatter-plot that is used to quickly identify changes in large data sets composed of replicate data. In the clinical domain, a Volcano Plot is used to view Risk difference (RD) of AE occurrence (%) between drug and control by preferred term. One example of

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Data Visualization

Sanjay MatangeMay 20, 2016 0

CTSPedia Clinical Graphs - Heatmap of Benefit

Let us continue our review of the Clinical Graphs included in the CTSPedia repository. Today, I noticed this Heatmap of Benefits and Risks over Time for Subjects in a study by Treatment, submitted by Max Cherny using "R" code. I thought it would be a good exercise to see how to build this

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Data Visualization

Sanjay MatangeMay 6, 2016 0

CTSPedia Graphs - Dot Plot of Primary SOC

CTSPedia is a valuable resource for clinical research "... initiated to form an information resource created by researchers for researchers in clinical and translational science to share valuable knowledge amongst local researchers". This site includes a section on statistical graphs where you can find valuable information and a library of standardized

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Data Visualization

Sanjay MatangeOctober 31, 2015 0

Adverse Events Graph with NNT

Early last year I wrote an article on how to create the "Most Frequent Adverse Events Sorted by Relative Risk" graph using the SGPLOT procedure. The key issue here is that such a graph normally displays two plots side by side, a scatter plot of the proportion values by treatment

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Data Visualization

Sanjay MatangeJanuary 31, 2015 0

Cancer Deaths Averted

Significant progress in reduction of Cancer mortality is shown in a graph that I noticed recently on the Cancer Network web site. This graph showed the actual and projected cancer mortality by year for males. The graph is shown on the right. The graph plots the projected and actual numbers

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Data Visualization

Sanjay MatangeNovember 15, 2014 0

Clinical Graphs

This week I had the opportunity to present a 1/2 day seminar on creating clinical graphs using the SG procedures during an In-House SAS Users' group meeting. I have presented this seminar quite a few times now, and I always learn something. The audience was very receptive, with some people

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Data Visualization

Sanjay MatangeSeptember 14, 2014 0

PharmaSUG-China 2014

The Third PharmaSUG-China conference was held in Beijing last week, and I had the pleasure to attend this excellent conference along with a record number of attendees. On Thursday, I presented two 1/2 day seminars on ODS Graphics. One titled "Advanced Topics in GTL" and another titled "Complex Clinical Graphs

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Data Visualization

Sanjay MatangeJune 5, 2014 0

Report from PharmaSUG 2014

Just getting back from PharmaSUG 2014 in San Diego. The conference was great, both inside and outside. The organizers ordered up some great weather for the Padres game and also for dinner on the flight deck of the Midway Carrier. Our focus here being on graphics, we were all extremely gratified by the presentations in

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Data Visualization

Sanjay MatangeJanuary 3, 2014 0

Plot Layering for Bland-Altman Graph

Recently a user new to GTL and SG procedures asked how to create a Bland-Altman graph on the SAS Communities site. He included an image of the resulting graph to indicate what he wanted, I described to him how that graph can be created, but since he is new to the art

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Data Visualization

Sanjay MatangeAugust 5, 2013 0

A Better Combined AE - CM Graph

As promised, here is a better combined AE-CM graph, using some of the UI improvements suggested by our UI expert, Riley. His suggestions helped to reduce the clutter in the graph, while still keeping all the features preferred by our users. Click on the graphs for a higher resolution image.

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Data Visualization

Sanjay MatangeMay 16, 2013 0

Report from PharmaSUG 2013

The PharmaSUG 2013 conference in Chicago this week was awesome. From the perspective of graphics, there was great interest in using SG Procedures, Designer and GTL for building clinical graphs. It was nice to see many papers by users on how they are using these tools for creating graphs on a daily

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Data Visualization

Sanjay MatangeJanuary 14, 2013 0

Multiple Classifiers vs Small Multiples

Often we have the need to see the data by two different classifiers at the same time, as requested by a recent query on the SAS Communities page. In this example I have simulated a response over time for patients by study and treatment. We want to create series plots

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Data Visualization

Sanjay MatangeSeptember 15, 2012 0

Report from WUSS 2012

A week ago, SAS "wusses" got together in Long Beach, California for another successful WUSS conference. Personally, I really enjoy all SAS user conferences as it gives me an opportunity to see the creative ways in which SAS users are exploiting our software. One such case was the paper "Power

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Data Visualization

Sanjay MatangeJuly 15, 2012 0

Risk tables, annotated or not

A key element of graphs used for analysis of safety data for clinical research is the inclusion of statistical data (or tables) about the study that are aligned with the x axis of the graph. A common example of this comes from the paper "Graphical Approaches to the Analysis of

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Data Visualization

Sanjay MatangeJune 10, 2012 0

LFT Panels

CTSPedia.org is a website of Knowledge Base for Clinical and Translational Research. On this site you can find sample graphs for statistical analysis of safety data for Clinical Research. Graphs included in this resource have been submitted by contributors, and include a graph for Liver Function for different tests by treatment.

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Data Visualization

Sanjay MatangeApril 23, 2012 0

SAS Global Forum Monday update

On Friday before the conference, I presented a 1 day "developer led" seminar on SG Procedures and GTL, along with a discussion of new features for SAS 9.3. The experience was very gratifying as all users were now using SAS 9.2, and some were using SAS 9.3. We had a lively

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Data Visualization

Sanjay MatangeFebruary 16, 2012 0

Distribution of Maximum LFT by Treatment

The graph showing the distribution of the maximum liver function test values by treatment for all participants in a study is commonly used for the analysis of safety data in clinical trials. The data is often structured in multiple columns (one per treatment) as below on the left, or grouped by

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Data Visualization

Sanjay MatangeDecember 15, 2011 0

Secrets of statistical graphics procedures revealed

A new book from SAS Press, "Statistical Graphics Procedures by Example" co-authored by Dan Heath and I has now been published (phew!). For both Dan and I, this was our first foray into writing a book, so it was highly educational to say the least. The key idea behind the presentation

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Data Visualization

Sanjay MatangeNovember 23, 2011 0

SGPLOT with axis-aligned statistics columns

In a previous article we discussed how to add axis aligned statistics table to a Lipid graph using GTL. Other graphs such as the Survival Plot also utilize the same technique to display the "at risk" statistics aligned by time or visits along the X axis. Often, we also need to display

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Data Visualization

Sanjay MatangeNovember 12, 2011 0

Graphs with axis-aligned statistics tables

The display of statistics, aligned with graphical plot of the data, is a common requirement for graphs, especially in the Clinical Research domain. In the previous post on Discrete Offset, I used an example of the Lipid Profile graph. Now, let us use the same example and add the display of statistics in

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