Biostatistics: Count Data Analysis, Part 2, Interesting Video Lecture in Amharic Speech

Biostatistics: count data analysis, part 2, is lectured using Amharic language speech with detailed explanations. This video lectures the details of count data analysis, count data analyses, introduction on generalized linear models (GLM), random component, systematic component, link function, count data, Poisson distribution, review on poison distribution, assumptions, Poisson model, specification of the model, interpretation of log-linear model, Poisson model assumption, count data in the presence of excess variation, consequence of over-dispersion, negative binomial regression (NBR), test for over dispersion: ancillary (a parameter), interpreting coefficients, zero-inflated Poisson model (ZIP), zero-inflated negative-binomial (ZINB), over-dispersion, zero-inflation, zero-inflated models, model formulation and interpretation of coefficients, testing the negative binomial (NBP) model, model comparison with AIC, and sound research article examples for all mentioned components.Unit 1: Introduction to biostatistics, Unit 2: Descriptive statistics, Unit 3: Demography and health service statistics, Unit 4: Probability and probability distributions, Unit 5: Sampling methods and sample size determination, Unit 6: Statistical inference / Estimation and hypothesis testing, Unit 7: Analysis of variance (ANOVA), Unit 8: Regression and correlation, Unit 9: Categorical data analysis, Unit 10: Survival data analysis, Unit 11: Count data analysis, and Unit 12: Introduction to Software (SPSS, STATA, Epi Info, R, etc.). #countdataanalysis #generalizedlinearmodels #Poissondistribution #poissonmodel #countdata , #Poissonmodelassumption #negativebinomialregression #zero-inflatedPoissonmodel , #zero-inflatednegative-binomial #over-dispersion #zero-inflation #zero-inflatedmodels #negativebinomialmodel #AIC #modelselection #spss #rsoftware , #biostatistics , #statistics #stata #countmodel , #software #analysis #analyses ,#amharic #amharictutorial #ethiopia #ethiopian #ethiopianlectures #ethiopiantutor , #healthacademics , #amazing #health #research
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[@asiyaordono5627]

Thank you it help a lot next part please

[@healthacademics]

As soon as possible
Thank you so much!💜
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