Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

Class Level Information

Class Levels Values

IDNO 136 1 2 5 8 9 10 11 12 17 18 20 22 24 27 28 30 31
32 33 34 35 38 40 44 45 47 51 53 54 56 60 61
63 67 71 72 77 78 86 89 90 92 94 102 111 112
166 167 174 175 176 178 181 183 192 193 194
195 196 197 199 202 204 205 207 208 216 218
219 221 222 223 227 230 232 237 241 242 244
245 248 249 250 252 253 254 255 262 263 268
269 276 277 278 279 281 282 283 284 287 288
289 290 291 293 295 298 299 300 301 306 309
310 315 318 319 321 324 326 330 331 332 334
335 337 338 339 340 341 344 346 347 349 351
354 355
MONTH 9 1 2 3 4 5 6 7 8 9

Number of Observations Read 1458

Number of Observations Used 1203

Dimensions

R-side Cov. Parameters 2

Columns in X 4

Columns in Z per Subject 0

Subjects (Blocks in V) 136

Max Obs per Subject 9

Optimization Information

Optimization Technique

Dual Quasi-

Newton

Parameters in

Optimization

1

Lower Boundaries 1

Upper Boundaries 1

Optimization Information

Fixed Effects Profiled

Residual Variance Profiled

Starting From Data

Fit Statistics

2 Res Log Pseudo-Likelihood 6668.60

Generalized Chi-Square 1164.06

Gener. Chi-Square / DF 0.97

SAS 629