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Table 5 Descriptive summary of SF-6D utility index derived from observed and predicted values of best fitting models

From: Prediction of the SF-6D utility score from Lung cancer FACT-L: a mapping study in China

Model

Mean

SD

Minimum

P10

Median

P90

Maximum

Observed data

0.7740

0.1542

0.3590

0.5340

0.7950

0.9620

1.0000

OLS M4

0.7740

0.1292

0.3801

0.5794

0.8047

0.9206

0.9578

OLS M5

0.7740

0.1294

0.3797

0.5777

0.8052

0.9218

0.9653

TOBIT M4

0.7777

0.1334

0.3899

0.5764

0.8057

0.9323

0.9746

TOBIT M5

0.7777

0.1337

0.3894

0.5753

0.8077

0.9344

0.9840

OPROBIT M4

0.7757

0.1294

0.4439

0.5751

0.8048

0.9239

0.9526

OPROBIT M5

0.7757

0.1296

0.4429

0.5765

0.8033

0.9224

0.9561

BETAMIX M3a

0.7714

0.1292

0.4268

0.5756

0.8028

0.9173

0.9617

BETAMIX M4a

0.7714

0.1296

0.4089

0.5713

0.8006

0.9148

0.9647

  1. The closest fit values to the observed data are highlighted in bold