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 8.6120.60938 6.010-2.00.21010.07152
2 9.0220.62628 6.510-1.50.18200.05127
2 9.4330.63938 7.010-1.00.16200.03693
2 9.8480.64348 7.510-0.50.14950.03262
210.2680.63308 8.010 0.00.14090.03522
210.6960.60438 8.510 0.50.13160.03697
211.1330.55568 9.010 1.00.12030.03759
211.5640.49168 9.510 1.50.11360.04584
211.9040.4261810.010 2.00.10690.05629



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
2871010180.19



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
287100.05 8.381
287100.10 8.613
287100.25 9.002
287100.50 9.433
287100.75 9.864
287100.9010.252
287100.9510.484