Skeletal age prediction

Conditional Reference Values for Skeletal Age and Prediction of Future Skeletal Age

Click "yes" for 1, 2, or all 3 of the queries below, and enter inputs for those for which you select "yes".

Produce a table of means and standard deviations for (uncensored) later SA (SA1) at age t1 given earlier SA (SA0) at t0?
No Yes

If yes, please enter the following:

Sex: Male Female

Chronological age at earlier assessment (t0):
[enter a single value from 8 to 17.5 years, or a range of values of the form seq(8, 15, 0.5) (i.e., 8 8.5 9 9.5 ... 15), or a list of values of the form c(8, 9, 10)]

Enter either Skeletal age (SA0)
OR
Relative skeletal age (SA0 - CA0) at earlier assessment.
Indicate which you are entering:
Skeletal age (SA0)
Relative skeletal age (SA0 - CA0)
[For skeletal age, enter a single value, range of values, or list of values from 6 to 18 years.
For relative skeletal age, enter a single value, range of values, or list of values from -2 to 2 years.]

Later chronological age (t1):
[enter a single value, range of values, or list of values from 8 to 18 years]

Compute bootstrap SE?: No Yes

Example: Female, t0=8, RSA0=seq(-2, 2, 0.5), t1=10, Bootstrap SE

Means and standard deviations for
(uncensored) later SA (SA1) at age t1 given earlier SA (SA0) at t0

sex	mean.hat	sd.hat	t0	sa0	t1	rsa0	se.mean.hat	se.sd.hat
2	8.612	0.6093	8	6.0	10	-2.0	0.2101	0.07152
2	9.022	0.6262	8	6.5	10	-1.5	0.1820	0.05127
2	9.433	0.6393	8	7.0	10	-1.0	0.1620	0.03693
2	9.848	0.6434	8	7.5	10	-0.5	0.1495	0.03262
2	10.268	0.6330	8	8.0	10	0.0	0.1409	0.03522
2	10.696	0.6043	8	8.5	10	0.5	0.1316	0.03697
2	11.133	0.5556	8	9.0	10	1.0	0.1203	0.03759
2	11.564	0.4916	8	9.5	10	1.5	0.1136	0.04584
2	11.904	0.4261	8	10.0	10	2.0	0.1069	0.05629

Compute P(SA1 in [a,b] | t0, SA0, t1)?
No Yes

If yes, please enter the following:

Sex: Male Female

Chronological age at earlier assessment (t0):
[enter a SINGLE value from 8 to 17.5 years]

Skeletal age at earlier assessment (SA0):
[enter a SINGLE value from 6 to 18 years]

Later chronological age (t1):
[enter a SINGLE value from 8 to 18 years]

a:
[enter a SINGLE value from 6 to 18 years]

b:
[enter a SINGLE value from 6 to 18 years]

Compute bootstrap SE?: No Yes

Example: Female, t0=8, SA0=7, t1=10, SA1=10, SA2=18, No bootstrap SE

P(SA1 in [a,b] | t0, SA0, t1)

sex	t0	sa0	t1	a	b	P.sa1.in.a.b
2	8	7	10	10	18	0.19

Conditional percentiles for SA1 at t1 given SA0 at t0?
No Yes

If yes, please enter the following:

Sex: Male Female

Chronological age at earlier assessment (t0):
[enter a SINGLE value from 8 to 17.5 years]

Skeletal age at earlier assessment (SA0):
[enter a SINGLE value from 6 to 18 years]

Later chronological age (t1):
[enter a SINGLE value from 8 to 18 years]

Compute bootstrap SE?: No Yes

Example: Female, t0=8, SA0=7, t1=10, No bootstrap SE

Conditional percentiles for (uncensored) later SA (SA1)
at age t1 given earlier SA (SA0) at t0

sex	t0	sa0	t1	percentile	estimate
2	8	7	10	0.05	8.381
2	8	7	10	0.10	8.613
2	8	7	10	0.25	9.002
2	8	7	10	0.50	9.433
2	8	7	10	0.75	9.864
2	8	7	10	0.90	10.252
2	8	7	10	0.95	10.484