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_lisa-short-course-generalized-linear-models.jpg "NOTE: This video has some issues with the speed of the sound (it's not 100% in sync but is not off by a static amount).To flip through the slides yourself, please visit the course page (www.lisa.stat.vt.edu/?q=node/512).nnLISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting")
⏲ 60 min 11 sec ✓ 13-May-2010
_binary-choice-linear-probability-and-logit-models.jpg "Pat Obi")
⏲ 17 minutes 1 second 👁 27.5K
_interpreting-regression-coefficients-in-log-models-part-1.jpg "Ben Lambert")
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_chapter-7-log-linear-and-log-log-models.jpg "Tia Hilmer")
⏲ 8 minutes 51 seconds 👁 9.6K
_loglinear-analysis-in-spss-with-assumption-testing.jpg "Dr. Todd Grande")
⏲ 10 minutes 32 seconds 👁 24.1K
_logistic-regression-simply-explained.jpg "DATAtab")
⏲ 14 minutes 22 seconds 👁 61.9K
_statquest-logistic-regression.jpg "StatQuest with Josh Starmer")
⏲ 8 minutes 48 seconds 👁 1M
_binary-logisitic-regression-in-spss-with-one-continuous-and-one-dichotomous-predictor-variable.jpg "Dr. Todd Grande")
⏲ 10 minutes 20 seconds 👁 41.6K
_logistic-regression-in-r-clearly-explained.jpg "StatQuest with Josh Starmer")
⏲ 17 minutes 15 seconds 👁 244.6K
_why-linear-regression-for-machine-learning.jpg "IBM Technology")
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_how-to-know-which-statistical-test-to-use-for-hypothesis-testing.jpg "Amour Learning")
⏲ 19 minutes 54 seconds 👁 333.6K
_binary-logisitic-regression-in-spss-with-two-dichotomous-predictor-variables.jpg "Dr. Todd Grande")
⏲ 14 minutes 44 seconds 👁 63.1K
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_lisa-short-course-generalized-linear-models.webp "NOTE: This video has some issues with the speed of the sound (it's not 100% in sync but is not off by a static amount).To flip through the slides yourself, please visit the course page (www.lisa.stat.vt.edu/?q=node/512).nnLISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting")
_binary-choice-linear-probability-and-logit-models.webp "Pat Obi")
_interpreting-regression-coefficients-in-log-models-part-1.webp "Ben Lambert")
_chapter-7-log-linear-and-log-log-models.webp "Tia Hilmer")
_loglinear-analysis-in-spss-with-assumption-testing.webp "Dr. Todd Grande")
_logistic-regression-simply-explained.webp "DATAtab")
_statquest-logistic-regression.webp "StatQuest with Josh Starmer")
_binary-logisitic-regression-in-spss-with-one-continuous-and-one-dichotomous-predictor-variable.webp "Dr. Todd Grande")
_logistic-regression-in-r-clearly-explained.webp "StatQuest with Josh Starmer")
_why-linear-regression-for-machine-learning.webp "IBM Technology")
_how-to-know-which-statistical-test-to-use-for-hypothesis-testing.webp "Amour Learning")
_binary-logisitic-regression-in-spss-with-two-dichotomous-predictor-variables.webp "Dr. Todd Grande")
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