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Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models
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| Zeitschriftentitel: | Croatian Operational Research Review |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Croatian Operational Research Review, 8, 2017, 2, S. 631-652 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Croatian Operational Research Society
|
| Schlagwörter: |
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Šarlija, Nataša Bilandžić, Ana Stanić, Marina Šarlija, Nataša Bilandžić, Ana Stanić, Marina |
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Šarlija, Nataša Bilandžić, Ana Stanić, Marina |
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Šarlija, Nataša Bilandžić, Ana Stanić, Marina Croatian Operational Research Review Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models Applied Mathematics Management Science and Operations Research Statistics, Probability and Uncertainty Economics and Econometrics Statistics and Probability |
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Šarlija, Nataša Bilandžić, Ana Stanić, Marina 1848-0225 1848-9931 Croatian Operational Research Society Applied Mathematics Management Science and Operations Research Statistics, Probability and Uncertainty Economics and Econometrics Statistics and Probability http://dx.doi.org/10.17535/crorr.2017.0041 Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models Croatian Operational Research Review |
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Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
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Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_full |
Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_fullStr |
Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
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Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_short |
Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
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logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
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Applied Mathematics Management Science and Operations Research Statistics, Probability and Uncertainty Economics and Econometrics Statistics and Probability |
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| spelling | Šarlija, Nataša Bilandžić, Ana Stanić, Marina 1848-0225 1848-9931 Croatian Operational Research Society Applied Mathematics Management Science and Operations Research Statistics, Probability and Uncertainty Economics and Econometrics Statistics and Probability http://dx.doi.org/10.17535/crorr.2017.0041 Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models Croatian Operational Research Review |
| spellingShingle | Šarlija, Nataša, Bilandžić, Ana, Stanić, Marina, Croatian Operational Research Review, Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models, Applied Mathematics, Management Science and Operations Research, Statistics, Probability and Uncertainty, Economics and Econometrics, Statistics and Probability |
| title | Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_full | Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_fullStr | Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_full_unstemmed | Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_short | Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_sort | logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| title_unstemmed | Logistic regression modelling: procedures and pitfalls in developing and interpreting prediction models |
| topic | Applied Mathematics, Management Science and Operations Research, Statistics, Probability and Uncertainty, Economics and Econometrics, Statistics and Probability |
| url | http://dx.doi.org/10.17535/crorr.2017.0041 |