01 welcome-to-the-course.mp4 (16.16 MB)
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03 fitting-statistical-models-to-data-with-python-guidelines.mp4 (14.42 MB)
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01 what-do-we-mean-by-fitting-models-to-data.mp4 (20.85 MB)
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02 types-of-variables-in-statistical-modeling.mp4 (22.13 MB)
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03 different-study-designs-generate-different-types-of-data-implications-for.mp4 (18.45 MB)
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04 objectives-of-model-fitting-inference-vs-prediction.mp4 (13.4 MB)
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06 plotting-predictions-and-prediction-uncertainty.mp4 (8.98 MB)
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02 python-statistics-landscape.mp4 (10.82 MB)
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01 linear-regression-introduction.mp4 (11.82 MB)
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02 linear-regression-inference.mp4 (23.87 MB)
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04 interview-causation-vs-correlation.mp4 (126.09 MB)
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01 logistic-regression-introduction.mp4 (21.54 MB)
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02 logistic-regression-inference.mp4 (8.81 MB)
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01 nhanes-case-study-tutorial-linear-and-logistic-regression.mp4 (50.86 MB)
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01 what-are-multilevel-models-and-why-do-we-fit-them.mp4 (19.55 MB)
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03 multilevel-linear-regression-models.mp4 (28.24 MB)
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05 multilevel-logistic-regression-models.mp4 (19.59 MB)
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06 practice-with-multilevel-modeling-the-cal-poly-app.mp4 (17.04 MB)
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01 what-are-marginal-models-and-why-do-we-fit-them.mp4 (29.56 MB)
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02 marginal-linear-regression-models.mp4 (27.16 MB)
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03 marginal-logistic-regression.mp4 (15.42 MB)
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01 nhanes-case-study-tutorial-marginal-and-multilevel-regression.mp4 (28.76 MB)
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02 should-we-use-survey-weights-when-fitting-models.mp4 (15.95 MB)
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03 bayesian-approaches-to-statistics-and-modeling.mp4 (28.46 MB)
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04 bayesian-approaches-case-study-part-i.mp4 (23.53 MB)
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05 bayesian-approaches-case-study-part-ii.mp4 (24.65 MB)
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06 bayesian-approaches-case-study-part-iii.mp4 (30.81 MB)
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01 bayesian-in-python.mp4 (33.5 MB)
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