1. Information Management Systems
in Behavior Science
Theme: Statistic, Epidemiology Modeling and Diabetes
Lab #2
Etienne Z. Gnimpieba
BRIN WS 2013
Mount Marty College – June 24th 2013
Etienne.gnimpieba@usd.edu

2. Context
0. Specification & Aims
Lab #2
Statement of problem / Case study: Interdisciplinary and transversal research development invites each scientific field to initiate an evolution toward integration to /for other field. The
bioinformatics and computational biology used in Behavior science remain difficult to describe. We propose here to use Information management tools (data collected, mining, load, statistic
analysis) and systems Biology modeling (epidemiology modeling) as key point for that translational interaction. Epidemiology is the study of the distribution and determinants of health-related
states or events (including disease), and the application of this study to the control of diseases and other health problems. Various methods can be used to carry out epidemiological investigations:
surveillance and descriptive studies can be used to study distribution; analytical studies are used to study determinants.
Bioinformatics and Information Management in Behavior Science
Aim: The aim of this lab is to create a broader
understanding of behavioral science data analysis
and mining using statistic tools. As a part of life
science area, we propose here to use
Bioinformatics and Systems Biology tools in
Epidemiology modeling to predict disease spread.
Acquired skills
Online Server Tools:
- Survey design (from hypothesis to questionnaire)
- Google Apps (design forms, updating questions)
- Data analysis, data learning, data mining
- Using NetLogo (modeling approach)
2
Resolution Process
T1. Creating a Google Survey
Objective: Learn how to make a Google survey
T2. Descriptive and Inference Statistics in Excel
Objective: Extract Load and Treat (ELT) data set for excel statistics used.
T1.1. Setting up the Survey
T1.2 Creating the Questions
T1.3. Collected Data and Visualize the Summary
T2.1. Import/edit/export from different formats (text, tab, xml, …)
T2.2. Descriptive analysis in excel (max, min, typos, count, Stde, average, sum) and
data visualization in excel (histogram, scatter plot, …)
T.2.3. Case Study: Social Reajustment Rating Scale (SRRS) question on diabete
T4. Epidemiology Modeling
Objective: How to use modeling approach to analyze the epidemiology problems
T4.1. Using NetLogo
T4.2. Running epiDEM simulation
T3. Inference statistics in Tanagra (data mining)
Objective: learn, extract knowledge from data using data mining tools (associations rules,
clustering, neuronal network) in Tanagra.
T3.1. Data Mining using Associaton Rule on Dataset
T3.2. K-Means Clustering Method for Data Learning

3. Information Management in Behavior Science
T1. Creating a Google Survey
Objective : Learn how to make a Google Survey
T1.1. Setting up the Survey
On the Google website: http://www.google.com
o Click on “Drive” tab
o Login or create an account
o Click on the red “Create” button and select the “Form”
o In “Title” you name your survey. You can also select your desired theme. For our example we will name our
survey “Diabetes”
o Click “Ok” to begin creating your survey
o A screen will open and you can complete an number of functions such as
o Providing a description
o Titling your questions
o Providing help text if needed
o Choosing you question type
o Adding more questions
o When you are finished with your survey questions click “Done”
o You can now choose the options to
o Show link to submit another response
o Publish and show the link to the results of the form to all the responders
o Allow responders to edit responses after submitting
o You can now share the link of your survey through Google +, Facebook, and twitter, or sending forms via e-mail.
o When finished selecting recipients click “Done”
Etienne Z. Gnimpieba
BRIN WS 2013
Mount Marty College – June 24th 2013
T1.2. Creating the Questions
T1.3. Collected Data and Visualize the Summary
Statistics in Behavior Science

4. Information Management in Behavior Science
T2. Descriptive and Inference Statistics in Excel
Objective: Extract Load and Treat (ELT) data set for excel statistics used
T2.1. Import/Edit/Export from different Formats (text, tab, xml…)
Etienne Z. Gnimpieba
BRIN WS 2013
Mount Marty College – June 24th 2013
o Open Excel and go to the “Data” tab. Click on “From Text” and select the file “data_lab8” from the student folder.
o Click “Next” Under “Delimiters” select only the “comma” Click “Finish” and “OK”
o Click on the column letter you want to sort by and click on “Sort and Filter” on the top left of the “Data” tab.
o Select the “Sort A though Z” Make sure “Expand with selection is selected and click “Sort”
T2.2. Descriptive Analysis in Excel and Data Visualisation in Excel
o Click on the cell under the title “Average” Under the “Formulas” tab click on “More Functions”, “Statistical” and “Average”
o To find the average of the cars that traveled enter “D2:D21” in “Number 1” and click “OK”
o To find the standard deviation of the number accidents select the cell under the title “Stdev” and click on “More Functions”, “Statistical”,
and “STDEV.S”. In “Number 1” put “E2:E21”.
o Highlight the data under “Cars Travel” (D2:D21) Go to the “Insert” tab and click on “Line” and select the first dot line option given
o You can edit the chart multiple ways and change the looks of in by going under the tabs that show up when the chart is selected
o Under the “Layout” tab you can add titles for the X and Y axis's.
o Right click the chart and select “Change Chart Type…” if you want a different type of graph
T.2.3. Case Study: Social Reajustment Rating Scale (SRRS) question on Diabetes
o Open “Case Study-Diabetes” from your student folder
o Select cell C2 and type in the equation “=$B2*$B2” and press enter.
o Hover your mouse over the lower right corner and drag the black box down to C7 to apply this equation to the rest of the cells.
o Select cell E2 and type in the equation “=$D2*$D2” and again drag down until cell E7
o Select cell F2 and type in the equation “=$B2*$D2” and again drag down until cell F7
o Select cell B8 and click on the button “Math and Trig” and select “SUM” Type in “Number 1” “B2:B7” and then press “OK”
o Drag the black box across to F8. Now your table should be complete
o Click on the “Insert” tab and pull down the “Scatter” button and select the first chart
Statistics in Behavior Science

5. Statistics in Behavior Science Information Management in Behavior Science
T3. Inference statistics in Tanagra
Objective: learn, extract knowledge from data using data mining tools (associations rules,
clustering, neuronal network) in Tanagra.
Data Mining
Etienne Z. Gnimpieba
BRIN WS 2013
Mount Marty College – June 24th 2013
T3.1. Data Mining using Association Rule on Dataset
o Open Tanagra. Pull down “File” and select “Open…” Pull down “Files of Type” and select “Binary data mining diagram
(*.bdm) Then open the file “T41Bin_transactions.bdm” in your student folder
o Click on the “Define Attributes Status” icon [ ] Select all “Attributes” by clicking on [ ] and move over into “Input”
by clicking on the arrow. Click “OK”
o Right click “Define Status 1” on the left and select “Execute”
o Click on “Association” on the bottom. Pull “A priori” on the top of “Define Status 1” on top left. Then double click “A priori 1”
to see the results
T3.2. K-Means Clustering Method for Data Learning
o Open Tanagra, pull down “File” and click on this icon [ ] Then click on this icon [ ]Change file type to “Excel File..”
and open the file “cars” from your student folder. Click “Open”
o Click on this icon [ ] Move “MPG”, “Weight”, and “Drive Ratio” into the “Input” and click “OK”
o Click on “Clustering” at the bottom, and pull “HAC” on top of “Define status1” Then right click “HAC 1” and change “Best
Clusters” to “Detect”
o You can open the “Dendrogram” tab on the top of the view window. Move back to the “Report” view
o Add another “Define Status” under “HAC 1” and select all of the “Attributes” into “Input” except “Car” ad
“Cluster_HAC_1”
o Open “Target” tab and put “Cluster_HAC_1” in
o Click on “Statistics” and put “Group characterization” under “Define status 2”
o Click on “Factorial Analysis” and put “Principal Component Analysis 1” under “HAC 1” Add a “Define status” under
“Principal Component Analysis 1” as well. Change the “Parameters” for the new “Define status 3” by putting “MPG”,
“Wieght”, “Drive_Ration”, “Horsepower”, “Displacement”, and “cylinders” in “Input” and “PCA_1_Axis _1” and
“PCA_1_Axis_2” in “Target.
o Click on “Data Visualization” and put “Correlation scatterplot” under “Define status 3” In any top right pull down in the
vieww window select “Cluster_HAC_1”. In the other two pull downs put “PCA_1_Axis_1” and “PCA_1_Axis_2”

6. Information Management in Behavior Science
T4. Epidemiology Modeling
Objective : How to use modeling approach to analyze the epidemiology problems
T4.1 Using NetLogo
o Click “Run epiDEM Travel and Control in you browser” to launch it
o You can change the parameters of the system as you please and simulate the experiment
o Click “Setup” and the system will automatically build a population
o Execute by clicking “Go”
o You will be able to see the results of the population changes in the left graphs
o Right Click and select “Copy Image” in order to copy the image of your results
Etienne Z. Gnimpieba
BRIN WS 2013
Mount Marty College – June 24th 2013
T4.2. Running epiDEM Simulation
On the NetLogo website: http://ccl.northwestern.edu/netlogo/ (Make sure you are using
Chrome browser)
o Click on “Library” and scroll to the bottom of the page and select “epiDEM Travel and Control”
Statistics in Behavior Science