| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| log logistic model | 1.59 | 1 | 7816 | 16 | 18 |
| log | 0.22 | 0.6 | 173 | 66 | 3 |
| logistic | 0.34 | 0.4 | 7844 | 28 | 8 |
| model | 1.06 | 0.3 | 2176 | 30 | 5 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| log logistic model | 1.82 | 0.7 | 5450 | 39 |
| log binomial model vs logistic regression | 0.92 | 0.1 | 922 | 97 |
| log logistic survival model | 1.37 | 0.7 | 1012 | 100 |
| log binomial regression model | 1.12 | 0.5 | 4585 | 74 |
| binomial logistic regression models | 1.36 | 0.9 | 7952 | 46 |
| binomial logistic regression example | 0.95 | 0.6 | 2060 | 21 |
| binomial logistic regression analysis | 0.93 | 0.9 | 5001 | 8 |
| multinomial vs binomial logistic regression | 0.64 | 0.3 | 4453 | 55 |
| multiple binomial logistic regression | 1.42 | 1 | 9657 | 68 |
| binomial glm vs logistic regression | 1.99 | 0.9 | 4184 | 91 |
| binomial vs binary logistic regression | 1.09 | 0.4 | 4949 | 58 |
| binomial logistic regression assumptions | 1.68 | 0.9 | 4353 | 2 |
| when to use log binomial regression | 0.44 | 0.5 | 6347 | 31 |
| negative binomial logistic regression | 0.18 | 0.1 | 1826 | 42 |
| log-binomial regression analysis | 1.49 | 0.4 | 261 | 82 |
| log-binomial model | 1.51 | 0.3 | 9908 | 81 |
