Drug and lab count improvement

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VM's image
VM
Posts 10
Thanks 1
Joined 27 Nov '10 Email user

Hi all - would anybody be willing to volunteer information on how much improvement was attained with the inclusion of drug and lab data in your model?

Viktor

 
Zaccak Solutions's image Posts 39
Thanks 7
Joined 10 Feb '11 Email user

Aggregated Member

Simple Linear (Pearson r)

t

df

p-value

Confidence Interval

Confidence Interval

AgeAtFirstClaim.num

0.135640

37.7512

76036

< 2.2e-16

0.128657

0.142611

Sex.num

0.016242

4.4793

76036

7.50E-06

0.009135

0.023347

Number of Claims

0.184392

51.7324

76036

< 2.2e-16

0.177517

0.191249

Sum of Length of Stay

0.035211

9.7154

76036

< 2.2e-16

0.028111

0.042308

Mean of Length of Stay

0.033278

9.1814

76036

< 2.2e-16

0.026176

0.040376

Sum of Charlson Index

0.179399

50.2845

76036

< 2.2e-16

0.172511

0.186270

Mean of Charlson Index

0.145988

40.6915

76036

< 2.2e-16

0.139024

0.152937

Number of Labs

0.123327

34.2686

76036

< 2.2e-16

0.116321

0.130321

Sum of Labs

0.135818

37.8015

76036

< 2.2e-16

0.128834

0.142788

Mean of Labs

0.066598

18.405

76036

< 2.2e-16

0.059519

0.073671

Number of Drugs

0.128542

35.7415

76036

< 2.2e-16

0.121545

0.135526

Sum of Drugs

0.159831

44.6466

76036

< 2.2e-16

0.152897

0.166749

Mean of Drugs

0.144750

40.3392

76036

< 2.2e-16

0.137784

0.151702

The Sum of Drugs seemed to be in the top 3 from my set above using Pearson R.

Aggregated Member

Nonparametric (Spearman r)

S

p-value

AgeAtFirstClaim.num

0.129909

6.38E+13

< 2.2e-16

Sex.num

0.019529

7.18E+13

7.22E-08

Number of Claims

0.172684

6.06E+13

< 2.2e-16

Sum of Length of Stay

0.123163

6.42E+13

< 2.2e-16

Mean of Length of Stay

0.115319

6.48E+13

< 2.2e-16

Sum of Charlson Index

0.158136

6.17E+13

< 2.2e-16

Mean of Charlson Index

0.141947

6.29E+13

< 2.2e-16

Number of Labs

0.107950

6.54E+13

< 2.2e-16

Sum of Labs

0.112081

6.51E+13

< 2.2e-16

Mean of Labs

0.070381

6.81E+13

< 2.2e-16

Number of Drugs

0.123577

6.42E+13

< 2.2e-16

Sum of Drugs

0.135109

6.34E+13

< 2.2e-16

Mean of Drugs

0.130386

6.37E+13

< 2.2e-16

Drugs is also in the top 5 above using Spearman R.

Qucik tests with simple linear models, drugs were in the top 5.. labs not so much:

Variables Used

LM
RMSLE

GLM
Quasi-Poisson RMSLE

AgeAtFirstClaim.num

0.525194

0.522907

AgeAtFirstClaim

0.517914

0.517914

Sex.num

0.526470

0.526508

Sex

0.518627

0.518627

Number of Claims

0.517654

0.516740

Sum of Length of Stay

0.525830

0.526349

Mean of Length of Stay

0.525902

0.526344

Sum of Charlson Index

0.517648

0.517409

Mean of Charlson Index

0.522010

0.522044

Number of Labs

0.522650

0.522915

Sum of Labs

0.522315

0.521600

Mean of Labs

0.525564

0.525903

Number of Drugs

0.522933

0.522471

Sum of Drugs

0.519660

0.519531

Mean of Drugs

0.522275

0.520834

Thanked by sja
 
Zaccak Solutions's image Posts 39
Thanks 7
Joined 10 Feb '11 Email user

Keep in mind everything I posted above us very simple linear tests... they may perform better in other tests.

Thanked by VM , sja , and Vtaylor
 

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