Scenarios

β
_{
X
}

β
_{C1}

β
_{C2}

β
_{C3}

β
_{C1C2}

β
_{C2C3}

α
_{TR}

β
_{TR}

Et_{
C
} (Days)^{a}


1

log(1.0)

log(2.0)

log(3.0)

log(1.0)

log(5.0)

log(1.0)

–

–

15


log(3.0)
     
–

–
 

log(10.0)
     
–

–
 
2

log(1.0)

log(2.0)

log(3.0)

log(5.0)

log(1.0)

log(1.0)

–

–

15


log(3.0)
     
–

–
 

log(10.0)
     
–

–
 

log(3.0)

log(2.0)

log(3.0)

log(0.2)

log(1.0)

log(1.0)

–

–

15

   
log(0.5)
  
–

–
 
   
log(2.0)
  
–

–
 

log(3.0)

log(2.0)

log(3.0)

log(5.0)

log(1.0)

log(1.0)

–

–

5

      
–

–

10

      
–

–

20

      
–

–

30

3

log(1.0)

log(2.0)

log(3.0)

log(5.0)

log(1.0)

log(5.0)

–

–

15


log(3.0)
     
–

–
 

log(10.0)
     
–

–
 

log(3.0)

log(2.0)

log(3.0)

log(5.0)

log(1.0)

log(0.2)

–

–

15

     
log(0.5)

–

–
 
     
log(2.0)

–

–
 

log(3.0)

log(2.0)

log(3.0)

log(5.0)

log(1.0)

log(5.0)

–

–

5

      
–

–

10

      
–

–

20

      
–

–

30

4

log(3.0)

log(2.0)

log(3.0)

log(1.0)

log(1.0)

log(1.0)

log(1.001)

log(1.0)

15

      
log(1.0)

log(1.001)
 
      
log(1.001)

log(1.001)
 
 ^{a}Length of the period in which the timevarying covariate C_{3}(t) has an effect