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8 sequencias
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Nível: Introdutório
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Idioma: Inglês
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128 pontos
Avaliações
Informações principais
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Free accesso
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Certificado gratuito
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16 total de horas
Sobre o conteúdo
This course provides theoretical and practical training on the increasingly popular logistic regression model, which has become the standard analytical method for use with a binary response variable.
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Programa de estudos
Week One
- Logistic Regression Analysis
- Fitting the Logistic Model
Week Two
- The Likelihood Ratio Test
- Finding a Confidence Interval for β and π
- The Multiple Logistic Regression Model
- Fitting the Multiple Logistic Regression Model
Week Three
- Confidence Intervals for β, the Logit, and π
- Interpretation of Coefficients
- Dichotomous Independent Variables
Week Four
- Polychotomous Independent Variables
- Continuous Independent Variables
Week Five
- Statistical Adjustment
- Interaction and Confounding
Week Six
- Estimating Odd Ratios in the Presence of Interaction
- The 2X2 Table - Stratified Analysis vs Logistic Regression
- Assessing the Fit of the Logistic Regression Model
Week Seven
- Summary Measures of Goodness-of-Fit
- Area Under the ROC Curve
Week Eight
- R-squared-type Measures
- Numerical Problems
- Estimating the Mortality of ICU Patients
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Instrutores
- Stanley Lemeshow - College of Public Health
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Criador do conteúdo
The Ohio State University is one of the largest universities in the United States. It's also home to a diverse group of the best and brightest people in the world: dedicated faculty, passionate students, and innovative researchers who make Ohio State one of the world's truly great universities.
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Plataforma
A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.
O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours
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