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

Whereas the dataset EVANS2 contains eight data lines, the dataset EVANS3 contains sixteen data lines. The first observation of E ...

the parameter estimates can be requested as part of the output. Click on OK in the main dialog box to run the program. The outpu ...

The matching factor is the variable MATCH which is coded 1 for a case and 0 for the two matched controls for each case. The code ...

Analysis of Maximum Likelihood Estimates Parameter DF Estimate Standard Error Wald Chi-Square Pr> ChiSq SMK 1 0.7291 0.5613 1 ...

Parameter DF Estimate Standard Error Wald Chi-Square Pr>ChiSq WEIGHT 1 1.5056 0.4093 13.5320 0.0002 AGECAT 1 0.5560 0.3994 1. ...

words, if a patient has a predicted probability greater than 0.100, then the patient tests positive on the screening test. Notic ...

ROC Curve Using Knee Fracture Data Sensitivity 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0.0 0.1 0.2 0.3 0.4 0.5 1 – specifici ...

By default, PROC LOGISTIC assumes the highest level of the outcome variable is the reference group. If we wish to make SUBTYPE¼0 ...

Testing Global Null Hypothesis: BETA¼ 0 Test Chi-Square DF Pr>ChiSq Likelihood Ratio 18.2184 6 0.0057 Score 15.9442 6 0.0141 ...

Ordinal Logistic Regression A. PROC LOGISTIC Ordinal logistic regression is demonstrated using the proportional odds model. Eith ...

Parameter DF Estimate Standard Error Chi-Square Pr>ChiSq (continued) RACE 1 0.4270 0.2720 2.4637 0.1165 ESTROGEN 1 0.7763 0. ...

Modeling Correlated Dichotomous Outcomes with GEE The programming of a GEE model with the infant care dataset is demonstrated us ...

response is not specified. Rather a GEE model requires that the mean–variance relationship of the response be specified. What th ...

Response Profile Ordered Value Outcome Total Frequency 1164 2 0 1139 PROC GENMOD is modeling the probability that outcome¼‘ 1 ’. ...

Working Correlation Matrix Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Row1 1.0000 0.5254 0.2760 0.1450 0.0762 0.0400 0.0210 0. ...

using the MODELSE option in the REPEATED statement. The table titled “Con- trast Estimate Results” contains the output requested ...

starting point for building more complicated models. The model is the same as used earlier in this appendix and is repeated belo ...

GLIMMIX can be used for GEE models. The model is restated below: logit PðOUTCOME¼ 1 jXÞ¼b 0 þb 1 BIRTHWGTþb 2 GENDERþb 3 DIARRHE ...

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 ...

Estimated V Correlation Matrix for IDNO 1 Row Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 1 1.0000 0.5370 0.2884 0.1549 0.08317 ...