Mixed Effects Model for log{FEV1/(Ht**2)} with Random Intercept
Decomposing Between- and Within-Subject Effects

The Mixed Procedure

Model Information
Data Set WORK.ALL
Dependent Variable y
Covariance Structure Variance Components
Subject Effect id
Estimation Method REML
Residual Variance Method Profile
Fixed Effects SE Method Model-Based
Degrees of Freedom Method Containment

Class Level Information
Class Levels Values
id 299 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300

Dimensions
Covariance Parameters 2
Columns in X 3
Columns in Z Per Subject 1
Subjects 299
Max Obs Per Subject 12

Number of Observations
Number of Observations Read 1993
Number of Observations Used 1993
Number of Observations Not Used 0

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 -2921.88193214  
1 2 -4468.05875634 0.00001361
2 1 -4468.11540864 0.00000002
3 1 -4468.11549096 0.00000000

Convergence criteria met.

Covariance Parameter Estimates
Cov Parm Subject Estimate
Intercept id 0.009336
Residual   0.004190

Fit Statistics
-2 Res Log Likelihood -4468.1
AIC (smaller is better) -4464.1
AICC (smaller is better) -4464.1
BIC (smaller is better) -4456.7

Solution for Fixed Effects
Effect Estimate Standard Error DF t Value Pr > |t|
Intercept -0.3483 0.03517 297 -9.90 <.0001
cage 0.02982 0.000480 1693 62.18 <.0001
mage 0.02923 0.002901 1693 10.08 <.0001

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F
cage 1 1693 3865.92 <.0001
mage 1 1693 101.52 <.0001