Results 281 to 290 of about 1,921,898 (301)
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2015
We often need to determine probabilities for a yes or no outcome in medical diagnosis, and require special methods. These are basically simple but computationally tedious, and usually require professional programs for their implementation.
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We often need to determine probabilities for a yes or no outcome in medical diagnosis, and require special methods. These are basically simple but computationally tedious, and usually require professional programs for their implementation.
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International Journal of Injury Control and Safety Promotion, 2018
Simple and multiple linear regression models study the relationship between a single continuous dependent variable Y and one or multiple independent variables X, respectively (Bangdiwala, 2018a, 20...
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Simple and multiple linear regression models study the relationship between a single continuous dependent variable Y and one or multiple independent variables X, respectively (Bangdiwala, 2018a, 20...
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American Journal of Physical Medicine & Rehabilitation, 2000
Medical rehabilitation researchers are increasingly interested in investigating complex, multivariate problems. Logistic regression analysis is a statistical tool that may be useful in exploring the relationship between multiple explanatory factors and a categorical outcome.
Glenn V. Ostir, Tatsuo Uchida
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Medical rehabilitation researchers are increasingly interested in investigating complex, multivariate problems. Logistic regression analysis is a statistical tool that may be useful in exploring the relationship between multiple explanatory factors and a categorical outcome.
Glenn V. Ostir, Tatsuo Uchida
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American Journal of Orthodontics and Dentofacial Orthopedics, 2017
In the article discussing the chi-square test,1 I used a clinical trial scenario with the objective of assessing the clinical alignment efficiency of 2 types of wires. These wires (A and B) were used for 6 months in 2 patient groups, and the outcome recorded was binary: reaching complete alignment (success) or not reaching complete alignment (failure).
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In the article discussing the chi-square test,1 I used a clinical trial scenario with the objective of assessing the clinical alignment efficiency of 2 types of wires. These wires (A and B) were used for 6 months in 2 patient groups, and the outcome recorded was binary: reaching complete alignment (success) or not reaching complete alignment (failure).
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American Journal of Orthodontics and Dentofacial Orthopedics, 2017
In the previous article (Pandis N. Logistic regression: Part 1. Am J Orthod Dentofacial Orthop 2017;151:824-5), I introduced logistic regression and showed how it can be used as an alternative to the chi-square test. Logistic regression becomes more interesting when we include more variables. I will continue with the example as shown in Table I.
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In the previous article (Pandis N. Logistic regression: Part 1. Am J Orthod Dentofacial Orthop 2017;151:824-5), I introduced logistic regression and showed how it can be used as an alternative to the chi-square test. Logistic regression becomes more interesting when we include more variables. I will continue with the example as shown in Table I.
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2001
Many medical and epidemiologic studies incorporate an ordinal response variable. In some cases an ordinal response Y represents levels of a standard measurement scale such as severity of pain (none, mild, moderate, severe). In other cases, ordinal responses are constructed by specifying a hierarchy of separate endpoints.
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Many medical and epidemiologic studies incorporate an ordinal response variable. In some cases an ordinal response Y represents levels of a standard measurement scale such as severity of pain (none, mild, moderate, severe). In other cases, ordinal responses are constructed by specifying a hierarchy of separate endpoints.
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