logistic regression bandit thinkhamrop, phd. (statistics) department of biostatistics and demography...
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![Page 1: Logistic Regression Bandit Thinkhamrop, PhD. (Statistics) Department of Biostatistics and Demography Faculty of Public Health, Khon Kaen University](https://reader036.vdocuments.us/reader036/viewer/2022062321/56649e7d5503460f94b7f5e5/html5/thumbnails/1.jpg)
Logistic RegressionLogistic Regression
Bandit Thinkhamrop, PhD. (Statistics)Bandit Thinkhamrop, PhD. (Statistics)Department of Biostatistics and DemographyDepartment of Biostatistics and Demography
Faculty of Public Health, Khon Kaen UniversityFaculty of Public Health, Khon Kaen University
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Begin at the conclusionBegin at the conclusion
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Begin at the conclusionBegin at the conclusion
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Type of the study outcome: Key for selecting Type of the study outcome: Key for selecting appropriate statistical methodsappropriate statistical methods
• Study outcomeStudy outcome• Dependent variable or response variableDependent variable or response variable• Focus on primary study outcome if there are moreFocus on primary study outcome if there are more
• Type of the study outcomeType of the study outcome• ContinuousContinuous• Categorical (dichotomous, polytomous, ordinal)Categorical (dichotomous, polytomous, ordinal)• Numerical (Poisson) countNumerical (Poisson) count• Event-free durationEvent-free duration
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The outcome determine statisticsThe outcome determine statistics
Continuous Categorical Count Survival
MeanMedian
Proportion(PrevalenceOrRisk)
Rate per “space”
Median survivalRisk of events at T(t)
Linear Reg. Logistic Reg. Poisson Reg. Cox Reg.
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Statistics quantify errors for judgmentsStatistics quantify errors for judgmentsParameter estimation
[95%CI]
Hypothesis testing[P-value]
Parameter estimation[95%CI]
Hypothesis testing[P-value]
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Back to the conclusionBack to the conclusion
Continuous Categorical Count Survival
Magnitude of effect95% CIP-value
Magnitude of effect95% CIP-value
MeanMedian
Proportion(Prevalence or Risk)
Rate per “space”
Median survivalRisk of events at T(t)
Answer the research questionbased on lower or upper limit of the CI
Appropriate statistical methods
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Begin at the wrong destinationBegin at the wrong destination
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Forest plotForest plot
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Another “wrong scale” forest plotAnother “wrong scale” forest plot
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Receiver Operating Characteristic CureReceiver Operating Characteristic Cure
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Optimal cut-off point Optimal cut-off point
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Diagnostic performanceDiagnostic performance