Part,  Chapter, Paragraph

 1   II,     4.  2    |            is not very strong. The regression coefficient equals -.020,
 2   II,     4.  2    |           menl (Figure 4.2.4). The regression coefficient equals -.024,
 3   II,     4.  2    |           4.2.2). In that case the regression coefficient equals -.034,
 4   II,     5.  2.  6|         progression, and/or induce regression, improve endothelial function
 5   II,     5.  5.  1|          gender and age~ ~Logistic regression was used in order to control
 6   II,     5.  5.  1|            of residence~ ~Logistic regression identified gender, age,
 7   II,     5.  5.  3| methodology in time.~When multiple regression models were used to predict
 8   II,     5.  9.  4|      Analysis by multiple logistic regression showed an inverse association
 9   II,     5. 12.  2|          missing data.~ ~Joinpoint regression analysis was used to identify
10   II,     5. 12.  2|     identified trends by fitting a regression line to the natural logarithm
11   II,     5. 12.  2|          observed rates. Joinpoint regression models are performed using
12   II,     5. 12.  3|            findings from joinpoint regression analysis of cirrhosis mortality
13   II,     5. 12.  3|            Table 5.12.3. Joinpoint regression analysis for age-standardized
14   II,     5. 12.  3|            Table 5.12.4. Joinpoint regression analysis for age-standardized
15   II,     5. 12.  7|    Permutation tests for joinpoint regression with applications to cancer
16   II,     5. 12.  7|        Institute (2005): Joinpoint Regression Program, version 3.0. Available
17  III,    10.  2.  2|      progression, and/or to induce regression, to improve endothelial