Все публикации

0:06:19

CourseIntro

0:34:16

R 16 Longitudinal Data Anaylsis

0:33:27

MOOC Generalized Additive Models

0:27:59

Dr Saurav De Conditional Marginal Likelihood

0:04:16

CourseCOnclusion

0:32:22

Subject Specific Module For Longitudinal Data RECTIFIED

0:22:38

MOOC The Generalized Linear Mixed Model

0:23:11

MOOC Case Study the gala dataset

0:24:49

MOOC Prospective and retrospective designs

0:24:19

MOOC Polytomous regression II

0:24:40

MOOC Polytomous regression I

0:18:19

MOOC Simpson’s Paradox

0:21:02

MOOC Likelihood based Estimation

0:19:10

MOOC Components of a GLM

0:28:11

Week 4 Video 3

0:31:25

MOOC The glm Function In R For Count Data

0:27:42

MOOC The GLM function in R

0:25:58

MOOC Inference for the logistic model

0:21:11

MOOC Zero Inflated Poisson models

0:26:25

MOOC Goodness of Fit 1

0:21:42

MOOC Sparseness

0:25:10

MOOC The Odds Ratio

0:25:36

MOOC Count data Analysis 1

0:23:38

MOOC Quasi likelihood estimation