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Table 1 Models with the best penalty value and the penalty within 3% of the optimum

From: Validation of prediction models based on lasso regression with multiply imputed data

Covariates

 

Best model parameters

 

3% tolerance model parameters

 

Number

Uncalibrated β

Re-calibrated β

Number

Uncalibrated β

Re-calibrated β

Intercept

10

1.038638

0.880085

10

1.30578

0.862149

Anxiety medication

10

-0.04399

-0.04534

1

-0.00066

-0.00075

Cardiovascular medication

10

-0.01752

-0.01774

0

  

Pulmonary medication

10

-0.01454

-0.01486

0

  

Use of long acting beta agonists

3

-0.00143

-0.00129

0

  

Influenza vaccination

10

-0.04283

-0.04365

0

  

Renal:chronic kidney disease

10

-0.06797

-0.06939

0

  

Lung function

6

0.000162

0.00018

0

  

HADS depression score

8

-0.00372

-0.00403

7

-0.00274

-0.00311

Physical activity score

10

0.02788

0.028764

6

0.005337

0.006068

Self-efficacy 2

3

0.01409

0.014715

3

0.006139

0.006978

Self-efficacy 3

1

0.000367

0.000384

0

  

Sit to stand test

10

0.001774

0.001901

10

0.001518

0.001632

crqdyspnea

10

0.654104

0.682812

10

0.60923

0.690902

crqfatigue

10

0.109821

0.114304

10

0.089453

0.100929

crqmastery

6

0.010376

0.010272

1

0.001909

0.002171

crqemotional

3

0.00078

0.00089

2

0.00134

0.001523

Feeling thermometer change score

10

-0.04587

-0.04658

0

  

HADS depression change score

10

0.039783

0.040061

0

  

crqdyspnea change score

10

-0.1582

-0.16403

10

-0.04866

-0.05207

  1. The column “number” gives the number of times each variable was selected across the imputed data sets.