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Table 4 Logistic regression coefficients and odds ratio of variables resulted from the stepwise backward algorithm

From: Risk profiles and a concise prediction model for lymph node metastasis in patients with lung adenocarcinoma

 

Estimate

Std. Error

z value

Pr(>|z|)

OR

2.5% OR

97.5% OR

(Intercept)

-3.265

0.205

-15.935

<0.001

0.038

0.025

0.057

NTI

0.861

0.348

2.474

0.013

2.366

1.186

4.670

PI

0.354

0.148

2.398

0.016

1.425

1.065

1.903

LVI

1.906

0.169

11.257

<0.001

6.728

4.837

9.400

RUL

-0.528

0.157

-3.351

0.001

0.590

0.431

0.800

LD

1.040

0.148

7.035

<0.001

2.828

2.117

3.779

MP component

0.405

0.172

2.354

0.019

1.500

1.067

2.096

lepidic component

-1.590

0.326

-4.881

<0.001

0.204

0.102

0.371

MP predominant

1.354

0.446

3.034

0.002

3.873

1.641

9.506

tumor size

0.442

0.072

6.177

<0.001

1.555

1.352

1.790

  1. Std. Error: standard error; OR: odds ratio