Our People And Committed To Employment Equity
Health Sciences
QuantitativeMethodsinHealthSciences:CategoricalVariables
“Quantitative Methods in Health Sciences: Categorical Variables at Our People And Committed To Employment Equity. Skills: Quantitative Methods in Health Sciences, Categorical Variables, Statistics, Logistic Regression. Introduction to analysis of categorical variables. Applications of both descriptive and inferential statistics to integrative health biosciences, behavioural and clinical data”
Industry & Context.
Mandatory legislated training
What They're Looking For.
Must Have
Masters-level degree in health sciences (or equivalent) in statistics or quantitative methodologies, University-level teaching, Training in: health statistics, Training in: use of statistical software, Training in: health research
What You'll Do.
Introduction to analysis of categorical variables
Applications of both descriptive and inferential statistics to integrative health biosciences
behavioural and clinical data
Use of computer applications to analyze
manage and present scientific data
Emphasis on probability
hierarchical loglinear analysis and logistic regression
Teaching Quantitative Methods in Health Sciences: Categorical Variables
Applying for this Quantitative Methods in Health Sciences: Categorical Variables role?
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