CORRECTION

Correction: A New Model of Biodosimetry to Integrate Low and High Doses The PLOS ONE Staff

There are multiple errors in the equations in the last sentence of the third paragraph of the “Statistics” subsection of the Materials and Methods. The correct equations are: Y0  1:96  SEðY0 Þ ¼ Y^ ðdL Þ þ R  sY^ ðdL Þ Y0 þ 1:96  SEðY0 Þ ¼ Y^ ðdU Þ  R  sY^ ðdU Þ

Table 2 has been corrected for improved readability. Please see the corrected Table 2 here. There is an error in Table 3. Please see the corrected Table 3 here.

OPEN ACCESS Citation: The PLOS ONE Staff (2015) Correction: A New Model of Biodosimetry to Integrate Low and High Doses. PLoS ONE 10(2): e0117767. doi:10.1371/journal.pone.0117767 Published: February 11, 2015 Copyright: © 2015 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PLOS ONE | DOI:10.1371/journal.pone.0117767 February 11, 2015

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PLOS ONE | DOI:10.1371/journal.pone.0117767 February 11, 2015

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2000

2000

2000

1000

500

150

150

150

100

100

100

0

0.1

0.5

1

3

5

7

10

15

20

25

0 0

0

0

0 0

0

0

0 0

0

(4)

0

0

(1)

(11)

(3)

0

4

0

23 (30)

3

(12)

192 (179)

213

(228)

108 (106)

886

(887)

78 (75)

1922

(1924)

11 (12)

1989

(1988)

1 (2)

(1998)

1

1999

0

0

0

0

0

(1)

0

(11)

0

(22)

23

(38)

58

(70)

85

(6)

6

(1)

0

0

0

0

0

2

(1)

0

(1)

0

(2)

0

(19)

3

(29)

35

(32)

38

(18)

9

0

0

0

0

0

0

0

0

3

(3)

0

(2)

0

(5)

3

(25)

18

(29)

35

(21)

15

(4)

1

0

0

0

0

0

0

0

0

4

(5)

4

(5)

6

(8)

10

(26)

40

(24)

29

(10)

10

(1)

0

0

0

0

0

0

0

0

0

5

(7)

5

(7)

9

(11)

12

(23)

35

(16)

10

(4)

2

0

0

0

0

0

0

0

0

0

0

6

(10)

5

(10)

10

(13)

21

(17)

25

(9)

9

(2)

1

0

0

0

0

0

0

0

0

0

0

7

(12)

8

(12)

12

(14)

10

(12)

16

(5)

4

(1)

0

0

0

0

0

0

0

0

0

0

0

8

(12)

18

(13)

17

(13)

16

(7)

9

(2)

1

0

0

0

0

0

0

0

0

0

0

0

0

9

(12)

16

(12)

13

(11)

7

(4)

4

(1)

0

0

0

0

0

0

0

0

0

0

0

0

0

10

Dicentrics distribution among cells

(11)

12

(11)

9

(8)

7

(2)

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

11

(9)

7

(9)

6

(6)

7

(1)

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

12

(7)

3

(6)

8

(4)

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

13

(5)

9

(4)

6

(2)

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

14

(8)

13

(6)

4

(2)

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

15#

1065

957

834

915

604

382

393

120

78

11

1

Total Dic

10.650

9.570

8.340

6.100

4.027

2.547

0.786

0.120

0.039

0.006

0.001

Y

10.008

7.985

6.792

2.493

2.697

1.578

0.641

0.118

0.037

0.005

0.001

Var

0.316

0.283

0.261

0.129

0.134

0.103

0.036

0.011

0.004

0.002

0.001

SE

0.94

0.83

0.81

0.41

0.67

0.62

0.82

0.98

0.96

0.99

1.00

DI

−0.42

−1.17

−1.31

−5.11

−2.85

−3.29

−2.91

−0.43

−1.23

−0.17

-

U

doi:10.1371/journal.pone.0117767.t001

At this dose we expected three cells with 15 dic, two with 16 and one with 17, 18 and 19 respectively.

# = Extended data: At 15 Gy, three cells with 15 dic were observed and one cell with 15 and 16 dic were expected; At 20 Gy, we observed one cell with 15 dic, one with 16 and two with 17. At this dose three cells with 15, two with 16 and one with 17 dic were expected. At 25 Gy we observed four cells with 15 dic, three with 16, three with 17, and three with 18.

Gy = Gray; Total dic = total number of dicentrics; Y = frequency of dicentrics; Var = variance; SE = standard error; DI = dispersion index (variance/mean); U = values of the u-test.

Cells

Dose (Gy)

Table 2. Cells analyzed and dicentrics distribution among cells for the dose-effect curve. In brackets are shown the expected dicentrics distribution assuming a Poisson.

Table 3. Dose-response coefficients obtained for the different adjustments to the models and their goodness-of-fit χ2 statistics. Models

COEFFICIENTS (SE)

Goodnessof-fit χ2

df

Linear-quadratic Y(D;C;α;β)

C = −0.0181

(0.0009)



Y(D;α;β)

α = 0.2480

(0.0081)

β = 0.0130

(0.0006)

746.37

6

α = 0.2431

(0.0080)

β = 0.0133

(0.0006)

742.19

7

α = 0.4125

(0.0059)



438.44

7

α = 0.4034

(0.0056)



875.31

8

β1 = 6.8462

(0.1204)

70.14

6

Linear Y(D;C;α)

C = −0.0143

(0.0025)



Y(D;α) GT Y(D; β0, β1, β2, β3)

β0 = 8.4716

(0.2097)

β2 = 0.2318

(0.0051)

β3 = 1.0623

(0.1764)

doi:10.1371/journal.pone.0117767.t002

Reference 1.

Pujol M, Barquinero J-F, Puig P, Puig R, Caballín MR, Barrios L (2014) A New Model of Biodosimetry to Integrate Low and High Doses. PLoS ONE 9(12): e114137. doi:10.1371/journal.pone.0114137 PMID: 25461738

PLOS ONE | DOI:10.1371/journal.pone.0117767 February 11, 2015

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Correction: A new model of biodosimetry to integrate low and high doses.

[This corrects the article DOI: 10.1371/journal.pone.0114137.]...
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