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Table 4 Comparison of the prediction models by RMSE and estimated R2

From: The effect of the look-back period for estimating incidence using administrative data

Model

Independent variable

intercept

Regression coefficient1

RMSE

Adj R2

X1

X2

ß1

ß2

Uterine leiomyoma

 A

Ln (Look-back)

Year

1

0.0967

0.01072

0.01297

0.9788

 B

Ln (Look-back)

Patients size

0.1385

0.09757

0.00002347

0.01387

0.9757

 C

Look-back

Year

−22.6134

0.0233

0.01141

0.03295

0.8632

 D

Look-back

Patients size

0.14922

0.02358

0.00002459

0.03375

0.8565

Adenomyosis

 A

Ln (Look-back)

Year

−46.7434

0.0464

0.02337

0.01371

0.9745

 B

Ln (Look-back)

Patients size

−0.00698

0.04887

0.00017117

0.01637

0.9636

 C

Look-back

Year

−47.0381

0.01154

0.02352

0.01877

0.9522

 D

Look-back

Patients size

0.000494

0.01203

0.00017177

0.02195

0.9346

Endometriosis

 A

Ln (Look-back)

Year

1.83882

0.0034

0.00091597

0.01762

0.9549

 B

Ln (Look-back)

Patients size

−0.12183

0.0609

0.00047936

0.03409

0.8312

 C

Look-back

Year

−43.6181

0.01176

0.02187

0.02229

0.9278

 D

Look-back

Patients size

−0.10688

0.01539

0.0004722

0.03793

0.7911

  1. 1 ß1 and ß2 are the regression coefficients of independent variable X1 and X2