Add to ORKGIn this second video of the series, Dr Heini Väisänen discusses binary logistic regression models with more than one explanatory variable. She also talks about what is meant by multiple logistic questions. Finally, she introduces principles of model selection, including the use of Wald-tests and likelihood ratio tests
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Logistic regression is a cornerstone of epidemiology and the method of choice for risk adjustment mo...
This bibliography collects articles illustrating the application of various multivariate techniques ...
In this video, Dr Heini Väisänen discusses multinomial logistic regression models with more than one...
In this first video of the series, Dr Heini Väisänen introduces the binary logistic regression, expl...
In this last video of the series, Dr Heini Väisänen discusses how to interpret interaction effects i...
The logistic regression originally is intended to explain the relationship between the probability o...
International audienceThe model's coefficients can be interpreted via the odds and odds ratio, which...
Includes bibliographical references (pages 24-25)A comparison was made between multiple linear and m...
In this video, Dr Heini Väisänen talks about the proportional odds assumption when conducting ordina...
Includes bibliographical references (pages 36-39)An investigation of situational factors was made in...
Regression Analysis is a multivariate statistical methodology to investigate relationships and predi...
We propose a Multivariate Logistic Distance (MLD) model for the analysis of multiple binary response...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Multicollinearity is a statistical phenomenon in which predictor variables in a logistic regression ...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Logistic regression is a cornerstone of epidemiology and the method of choice for risk adjustment mo...
This bibliography collects articles illustrating the application of various multivariate techniques ...
In this video, Dr Heini Väisänen discusses multinomial logistic regression models with more than one...
In this first video of the series, Dr Heini Väisänen introduces the binary logistic regression, expl...
In this last video of the series, Dr Heini Väisänen discusses how to interpret interaction effects i...
The logistic regression originally is intended to explain the relationship between the probability o...
International audienceThe model's coefficients can be interpreted via the odds and odds ratio, which...
Includes bibliographical references (pages 24-25)A comparison was made between multiple linear and m...
In this video, Dr Heini Väisänen talks about the proportional odds assumption when conducting ordina...
Includes bibliographical references (pages 36-39)An investigation of situational factors was made in...
Regression Analysis is a multivariate statistical methodology to investigate relationships and predi...
We propose a Multivariate Logistic Distance (MLD) model for the analysis of multiple binary response...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Multicollinearity is a statistical phenomenon in which predictor variables in a logistic regression ...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Logistic regression is a cornerstone of epidemiology and the method of choice for risk adjustment mo...
This bibliography collects articles illustrating the application of various multivariate techniques ...