TABLE 5 Open in new tab The estimation...

		Training data	Full data
Intercept		$- 23.753$	0.351	$<$ 0.001	***	$- 23.482$	$0.331$	$<$ 0.001	***
MaxMVS		$- 11.736$	0.405	$<$ 0.001	***	$- 11.646$	0.336	$<$ 0.001	***
StdTF		2.759	0.313	$<$ 0.001	***	2.829	0.261	$<$ 0.001	***
StdTD		$- 3.568$	0.316	$<$ 0.001	***	$- 3.614$	0.263	$<$ 0.001	***
MaxFA		$- 27.699$	0.708	$<$ 0.001	***	$- 27.604$	0.588	$<$ 0.001	***
WheTVAM: Yes		1.293	0.306	$<$ 0.001	***	1.333	0.255	$<$ 0.001	***
WheIFM: Yes		0.529	0.253	0.037	*	0.544	0.255	0.033	*
Age	40–50	0.426	0.306	0.164		0.450	0.255	0.077
50–60	0.732	0.282	0.009	**	0.693	0.255	0.007	**
$>$ 60	1.131	0.308	$<$ 0.001	***	1.155	0.257	$<$ 0.001	***
WheL: Yes		$- 2.700$	0.312	$<$ 0.001	***	$- 2.622$	0.259	$<$ 0.001	***
WheHFP: Yes		0.476	0.274	0.083		0.451	0.254	0.076
WheHSP: Yes		$- 0.468$	0.226	0.039	*	$- 0.523$	0.255	0.041	*

Training data

Full data

Variable

Est.

p

-Value

Sig.

Est.

p

-Value

Sig.

Intercept

- 23.753

0.351

<

0.001

***

- 23.482

0.331

<

0.001

***

MaxMVS

- 11.736

0.405

<

0.001

***

- 11.646

0.336

<

0.001

***

StdTF

2.759

0.313

<

0.001

***

2.829

0.261

<

0.001

***

StdTD

- 3.568

0.316

<

0.001

***

- 3.614

0.263

<

0.001

***

MaxFA

- 27.699

0.708

<

0.001

***

- 27.604

0.588

<

0.001

***

WheTVAM: Yes

1.293

0.306

<

0.001

***

1.333

0.255

<

0.001

***

WheIFM: Yes

0.529

0.253

0.037

0.544

0.255

0.033

Age

40–50

0.426

0.306

0.164

0.450

0.255

0.077

50–60

0.732

0.282

0.009

0.693

0.255

0.007

>

1.131

0.308

<

0.001

***

1.155

0.257

<

0.001

***

WheL: Yes

- 2.700

0.312

<

0.001

***

- 2.622

0.259

<

0.001

***

WheHFP: Yes

0.476

0.274

0.083

0.451

0.254

0.076

WheHSP: Yes

- 0.468

0.226

0.039

- 0.523

0.255

0.041

		Training data	Full data
Intercept		$- 23.753$	0.351	$<$ 0.001	***	$- 23.482$	$0.331$	$<$ 0.001	***
MaxMVS		$- 11.736$	0.405	$<$ 0.001	***	$- 11.646$	0.336	$<$ 0.001	***
StdTF		2.759	0.313	$<$ 0.001	***	2.829	0.261	$<$ 0.001	***
StdTD		$- 3.568$	0.316	$<$ 0.001	***	$- 3.614$	0.263	$<$ 0.001	***
MaxFA		$- 27.699$	0.708	$<$ 0.001	***	$- 27.604$	0.588	$<$ 0.001	***
WheTVAM: Yes		1.293	0.306	$<$ 0.001	***	1.333	0.255	$<$ 0.001	***
WheIFM: Yes		0.529	0.253	0.037	*	0.544	0.255	0.033	*
Age	40–50	0.426	0.306	0.164		0.450	0.255	0.077
50–60	0.732	0.282	0.009	**	0.693	0.255	0.007	**
$>$ 60	1.131	0.308	$<$ 0.001	***	1.155	0.257	$<$ 0.001	***
WheL: Yes		$- 2.700$	0.312	$<$ 0.001	***	$- 2.622$	0.259	$<$ 0.001	***
WheHFP: Yes		0.476	0.274	0.083		0.451	0.254	0.076
WheHSP: Yes		$- 0.468$	0.226	0.039	*	$- 0.523$	0.255	0.041	*

TABLE 5

Open in new tab

The estimation results for logistic regression using the sequential one-step method on the training data set and full data set, respectively

		Training data				Full data
Variable		Est.	SE	$p$ -Value	Sig.	Est.	SE	$p$ -Value	Sig.
Intercept		$- 23.753$	0.351	$<$ 0.001	***	$- 23.482$	$0.331$	$<$ 0.001	***
MaxMVS		$- 11.736$	0.405	$<$ 0.001	***	$- 11.646$	0.336	$<$ 0.001	***
StdTF		2.759	0.313	$<$ 0.001	***	2.829	0.261	$<$ 0.001	***
StdTD		$- 3.568$	0.316	$<$ 0.001	***	$- 3.614$	0.263	$<$ 0.001	***
MaxFA		$- 27.699$	0.708	$<$ 0.001	***	$- 27.604$	0.588	$<$ 0.001	***
WheTVAM: Yes		1.293	0.306	$<$ 0.001	***	1.333	0.255	$<$ 0.001	***
WheIFM: Yes		0.529	0.253	0.037	*	0.544	0.255	0.033	*
Age	40–50	0.426	0.306	0.164		0.450	0.255	0.077
	50–60	0.732	0.282	0.009	**	0.693	0.255	0.007	**
	$>$ 60	1.131	0.308	$<$ 0.001	***	1.155	0.257	$<$ 0.001	***
WheL: Yes		$- 2.700$	0.312	$<$ 0.001	***	$- 2.622$	0.259	$<$ 0.001	***
WheHFP: Yes		0.476	0.274	0.083		0.451	0.254	0.076
WheHSP: Yes		$- 0.468$	0.226	0.039	*	$- 0.523$	0.255	0.041	*

		Training data				Full data
Variable		Est.	SE	$p$ -Value	Sig.	Est.	SE	$p$ -Value	Sig.
Intercept		$- 23.753$	0.351	$<$ 0.001	***	$- 23.482$	$0.331$	$<$ 0.001	***
MaxMVS		$- 11.736$	0.405	$<$ 0.001	***	$- 11.646$	0.336	$<$ 0.001	***
StdTF		2.759	0.313	$<$ 0.001	***	2.829	0.261	$<$ 0.001	***
StdTD		$- 3.568$	0.316	$<$ 0.001	***	$- 3.614$	0.263	$<$ 0.001	***
MaxFA		$- 27.699$	0.708	$<$ 0.001	***	$- 27.604$	0.588	$<$ 0.001	***
WheTVAM: Yes		1.293	0.306	$<$ 0.001	***	1.333	0.255	$<$ 0.001	***
WheIFM: Yes		0.529	0.253	0.037	*	0.544	0.255	0.033	*
Age	40–50	0.426	0.306	0.164		0.450	0.255	0.077
	50–60	0.732	0.282	0.009	**	0.693	0.255	0.007	**
	$>$ 60	1.131	0.308	$<$ 0.001	***	1.155	0.257	$<$ 0.001	***
WheL: Yes		$- 2.700$	0.312	$<$ 0.001	***	$- 2.622$	0.259	$<$ 0.001	***
WheHFP: Yes		0.476	0.274	0.083		0.451	0.254	0.076
WheHSP: Yes		$- 0.468$	0.226	0.039	*	$- 0.523$	0.255	0.041	*

Notes: We report the estimated coefficient ${\overline{β}}_{K}$ ⁠, standard error (⁠ ${\hat{SE}}_{*} ({\overline{β}}_{K})$ ⁠), and $p$ -values for all variables. The symbols *, **, *** represent a significant influence under the significance level 5%, 1% and 0.1%, respectively.

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