Atopic asthma
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Atopic asthma is a commonly used metric for allergic respiratory disease.
Definition
Analytica file for creating a simulated dataset.
<?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ana user="jtue" project="Atopic_asthma" generated="8. heita 2010 15:26 " softwareversion="4.1.0" software="Analytica"> <sysvar name="Samplesize"> <definition>1000</definition> </sysvar> <sysvar name="Typechecking"> <definition>1</definition> </sysvar> <sysvar name="Checking"> <definition>1</definition> </sysvar> <sysvar name="Saveoptions"> <definition>2</definition> </sysvar> <sysvar name="Savevalues"> <definition>0</definition> </sysvar> <model name="Atopic_asthma"> <author>jtue</author> <date>8. heita 2010 12:57 </date> <saveauthor>jtue</saveauthor> <savedate>8. heita 2010 15:26 </savedate> <defaultsize>48,24</defaultsize> <diagstate>1,1,0,563,300,17</diagstate> <fontstyle>Arial, 15</fontstyle> <fileinfo>0,Model Atopic_asthma,2,2,0,1,C:\temp\atopic_asthma.ANA</fileinfo> <variable name="P_asthma"> <title>P asthma</title> <definition>.05</definition> <nodelocation>96,80,1</nodelocation> <nodesize>48,12</nodesize> <nodecolor>52425,39321,65535</nodecolor> </variable> <variable name="P_atopy"> <title>P atopy</title> <definition>.2</definition> <nodelocation>472,80,1</nodelocation> <nodesize>48,12</nodesize> <nodecolor>52425,39321,65535</nodecolor> </variable> <variable name="Rr_atopy"> <title>RR atopy</title> <definition>1.5</definition> <nodelocation>472,112,1</nodelocation> <nodesize>48,12</nodesize> <nodecolor>52425,39321,65535</nodecolor> </variable> <variable name="Rr_asthma"> <title>RR asthma</title> <definition>2</definition> <nodelocation>96,112,1</nodelocation> <nodesize>48,12</nodesize> <nodecolor>52425,39321,65535</nodecolor> </variable> <variable name="P_exposed"> <title>P exposed</title> <definition>.5</definition> <nodelocation>296,24,1</nodelocation> <nodesize>48,12</nodesize> <nodecolor>52425,39321,65535</nodecolor> </variable> <variable name="Asthma"> <title>Asthma</title> <definition>var c:= P_asthma/P_exposed/(Rr_asthma/(1-P_exposed)+1/P_exposed); var d:= P_asthma-c; array(exposure,[c,d])</definition> <nodelocation>240,96,1</nodelocation> <nodesize>48,24</nodesize> <valuestate>2,834,63,416,303,0,MIDM</valuestate> <att__totalsindex>[Index Exposure]</att__totalsindex> <att__discretenessinf>[1,0,0,0]</att__discretenessinf> </variable> <variable name="Atopy"> <title>Atopy</title> <definition>var c:= P_atopy/P_exposed/(Rr_atopy/(1-P_exposed)+1/P_exposed); var d:= P_atopy-c; array(exposure,[c,d])</definition> <nodelocation>352,96,1</nodelocation> <nodesize>48,24</nodesize> <valuestate>2,576,68,416,303,0,MIDM</valuestate> </variable> <chance name="Population"> <title>Population</title> <definition>var exposed:= if exposure='Yes' then bernoulli(P_exposed); exposed:= if exposure='No' then 1-exposed[exposure='Yes'] else exposed; array(column,[ exposed[exposure='Yes'], sum(exposed*bernoulli(Asthma/array(exposure,[1-P_exposed,P_exposed])),exposure), sum(exposed*bernoulli(Atopy/array(exposure,[1-P_exposed,P_exposed])),exposure)])</definition> <nodelocation>296,176,1</nodelocation> <nodesize>48,24</nodesize> <valuestate>2,559,137,512,355,0,SAMP</valuestate> <reformval>[Column,Column,Undefined,Undefined,Undefined,2]</reformval> <att__totalsindex>[Index Exposure]</att__totalsindex> <att__discretenessinf>[1,1,0,1]</att__discretenessinf> <att_resultslicestate>[Exposure,0,Column,1,Run,1]</att_resultslicestate> </chance> <variable name="R_asthma__atopy"> <title>r asthma- atopy</title> <definition>.2</definition> <nodelocation>88,184,1</nodelocation> <nodesize>48,22</nodesize> <nodecolor>52425,39321,65535</nodecolor> </variable> <index name="Column"> <title>Column</title> <definition>['Exposure','Asthma','Atopy']</definition> <nodelocation>296,208,1</nodelocation> <nodesize>48,12</nodesize> </index> <index name="Exposure"> <title>Exposure</title> <definition>['No','Yes']</definition> <nodelocation>240,128,1</nodelocation> <nodesize>48,12</nodesize> </index> </model> </ana> |
Result
