Re: [External] Re: Error in Power-model for covariate selection
Jakob,
Yes, in the pooled dataset from different studies, one dataset didn’t have BMI
values. Initially, I used “missing_values_token” option in the PsN command line
and by default it is -99. However, power model still gave errors. Now I just
checked the dataset in model run directory and it shows that despite using that
option, PsN never replaced missing values with -99. Maybe, I should manually
enter it and run it again. Also, because its negative value, I thought it
doesnt make sense, and instead I provided median BMI in place of missing
values. Didn’t work that way either.
Regards,
Sumeet Singla
Quoted reply history
On Nov 19, 2019, at 11:10 PM, Jakob Ribbing <[email protected]>
wrote:
Hi Sumeet,
It is great that you have considered already that covarite values do not
include zero or negative values, as that would not work with the power model.
Did you have any missing values, and how were they coded?
I would recommend to code these (in your data file) using the default -99 in
your datafile.
You can check the PsN file “covariate_statistics.txt” for your scm run: For BMI
in particular, were there missing values detected by PsN and is the minimum
value >0 or is it -99?
Best regards
Jakob
On 20 Nov 2019, at 05:42, Singla, Sumeet K
<[email protected]<mailto:[email protected]>> wrote:
Hello Everyone,
I am using PsN enabled SCM option in Pirana to analyze selection of covariates
in the PK 2- Comp model. As long as I am using just linear and exponential
covariate model, everything runs fine. However, as soon as I add power-model in
the mix, “some” power models involving continuous covariates on parameters fail
to run and it gives me the following error:
“HESSIAN OF POSTERIOR DENSITY IS NON-POSITIVE-DEFINITE DURING SEARCH”
I understand that individual PK parameter search might be moving into 0 or
negative territory. I am trying to fix it but didn’t have much success. I have
set lower bounds, removed lower bounds, changed order of model in valid states
option in scm configuration file, dataset doesn’t contain any 0 or negative
value, but nothing is working. FYI: I don’t need to test hockey-stick relation
as literature and data doesn’t support it, power model can only be used on
continuous covariates and I have turned on parallel states option.
This is how part of my scm results, followed by scm configuration file,
followed by base model for PK 2-Comp looks like:
MODEL TEST BASE OFV NEW OFV TEST OFV (DROP) GOAL
dDF SIGNIFICANT PVAL
CLAGE-2 PVAL 2618.02603 2616.67228 1.35375 >
3.84150 1 0.244620
CLAGE-5 PVAL 2618.02603 2616.36273 1.66330 >
3.84150 1 0.197160
CLAGE-4 PVAL 2618.02603 2616.65232 1.37371 >
3.84150 1 0.241180
CLBMI-2 PVAL 2618.02603 2612.96657 5.05946 >
3.84150 1 YES! 0.024492
CLBMI-5 PVAL 2618.02603 FAILED FAILED >
3.84150 1 999
SCM FILE:
“
search_direction=both
p_forward=0.05
p_backward=0.01
continuous_covariates=BMI,AGE
categorical_covariates=USER,SEX
parallel_states=1
retries=2
threads=6
tweak_inits=1
;;1-NotIncluded, 2-LINEAR, 3-Hockey Stick Relation, 4-Exponential, 5-Power
[test_relations]
CL=AGE,SEX,BMI,USER
V1=AGE,SEX,BMI,USER
V2=AGE,SEX,BMI,USER
Q=AGE,SEX,BMI,USER
[valid_states]
continuous = 1,2,5,4
categorical = 1,2
“
NONMEM Control Stream:
$SUBROUTINE ADVAN3 TRANS4
$PK
TVV1 = THETA(1) ;Central Volume of distribution in L
V1 = TVV1*EXP(ETA(1))
TVCL = THETA(2)
CL = TVCL*EXP(ETA(2)) ; Clearance L/h
TVQ = THETA(3)
Q = TVQ*EXP(ETA(3)) ;Intercompartment Clearance
TVV2 = THETA(4)
V2 = TVV2*EXP(ETA(4)) ;Peripheral volume in L
S1=V1
$ERROR
IPRED=F
Y= F + F*ERR(1); Proportional Error
$THETA
(0, 16); [V1] based on PK 2 Comp
(0, 255); [CL] based on PK 2 Comp
(0, 33.5); [Q] based on PK 2 Comp
(0, 29.7); [V2] based on PK 2 Comp
$OMEGA
(0, 0.08); [P] omega(1,1)
(0, 0.159); [P] omega(2,2)
(0, 0.140); [P] omega(3,3)
(0, 0.19); [P] omega(4,4)
$SIGMA
(0, 0.06) ;sigma1
$EST METHOD=1 PRINT=5 MAXEVAL=9999 SIG=3 NOABORT
Regards,
Sumeet K. Singla
Ph.D. Candidate
Division of Pharmaceutics and Translational Therapeutics
College of Pharmacy | University of Iowa
Iowa City, Iowa
[email protected]<mailto:[email protected]>
518.577.5881