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tanner stages to develop an understanding of healthy bone structure for a future study on children from a similar population who have pediatric renal disease.

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tanner stages to develop an understanding of healthy bone structure for a future study on children from a similar population who have pediatric renal disease. In doing so, the following analyses were conducted on a sample of 665 children and young adults up to age 35. The goal of the analysis was to understand the relationship between cortical thickness and predictors such as: . tibia length (continuous) . body mass index (continuous) . sex (1 = female, 2 = male) age group (1 = age under 12, 2 = age 12 to under 20, 3 = 20 or older) tanner stage (1,2,3,4,5) increasing level indicates increasing pubertal development pubertal status (pre-pubertal = 0, pubertal = 1) Refer to the SAS output below for information regarding different analyses where the dependent variable, cortical thickness, was modeled using one or more of the predictors listed above. SAS Output 1 The GLM Procedure Dependent Variable: co_the 38 Source DF Sum of Squares Mean Square F Value Pr > F SAS Output 2 Model 2 485.8638407 242 9319204 754.84 <.0001 the gum procedure error dependent variable: co_the corrected total source of sum squares mean square f value pr="F" standard model parameter enimate pre je confidence limits inberoept r.square coelf var root mse om r cool co thi df type>F 0.656267 19.86217 8.685171 1x 1 0.714536207 8 0.12643506 5 65 4 0001 0 456302371 0 967834335 ribia_length 1 447 2765605 447 2766605 1389 78 <.0001 b df type moan square f valen pr> F jagup'sex 1 1 -0.616478693 8 0-14652326 422 1 0001 0 506185458 -0 330771928 bmi 1 38.5871802 38 587 1802 119.90 <.0001 b source of type lil mean square f value pr> F agepp'sex 9 93 0901 popp'sex 22 0.060006000 B tibia_length 1 189 3908253 189 3908253 588 48 4 0001 OF Type 1 5.5 Mean Square F Value Pr = F papp'sex 31 0:060080604 B bml 38 587 1502 38 587 1802 119.90 <.0001 pgp b standard parameter estimate enor value pr="|1" confidence limits intercept tibia_length bmi output sas outputs the gum procedure glu gui dependent variable: co variables co_the_20 of sum squares mean square f pra sumiof won pref son pixf model a h i mer g comected total corrected c cooll wor wool mse thi mann r coall var root least means lot effect tanner r-square coolf noot co_the mem sounce type pro pubertal starer ss pre : soupe piff source prep ill manner cneor vale .135181857 standand bmor estimain emer prek .000909090>

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