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Fig. 2 | BMC Medical Research Methodology

Fig. 2

From: Exploring flexible polynomial regression as a method to align routine clinical outcomes with daily data capture through remote technologies

Fig. 2

Evaluating flexible polynomials for individuals with > 15 measurements. (A) FEV1 profiles for four individuals with the most measurements (Profile 1, n = 150; Profile 2, n = 139; Profile 3, n = 111; Profile 4, n = 110), where grey dots indicate observed FEV1 measurements and black line indicates daily predicted FEV1 values from the flexible polynomials. These individuals have at least 8 years of data (days > 3000). (B) The observed – predicted FEV1 value per person compared to (i) the coefficient of variation (CV) of time between measurements, (ii) the mean time between measurements, (iii) the number of measurements

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BMC Medical Research Methodology

ISSN: 1471-2288

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