main webpage W Topic Statistics BMC Medical Research Methodology • Vol 24 • No 1 Comparing methods for risk prediction of multicategory outcomes: dichotomized logistic regression vs. multinomial logit regression 2024 Estimating multiple logistic regression models of dichotomized outcomes may result in poorly calibrated predictions for an outcome with multiple ordinal categories. Multinomial continuation-ratio logit regression produces better calibrated predictions, constr… Article Open Statistics Open Article Page

Statistics

Study of collection and analysis of data Statistics (from German: Statistik , orig. "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments. Critical Symbolic Virtual Narrative Open Statistics Open Article Page

Exploring foci of: BMC Medical Research Methodology • Vol 24 • No 1 Comparing methods for risk prediction of multicategory outcomes: dichotomized logistic regression vs. multinomial logit regression 2024 Estimating multiple logistic regression models of dichotomized outcomes may result in poorly calibrated predictions for an outcome with multiple ordinal categories. Multinomial continuation-ratio logit regression produces better calibrated predictions, constrains the sum of predicted probabilities to 100%, and has the advantages of simplicity in model interpretation, flexibility to include outcome category-specific predictors and random-effect terms for patient heterogeneity by hospital. It also accounts for mutua… Open Article Page

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Explore Statistics W Topic Statistics BMC Medical Research Methodology • Vol 24 • No 1 Comparing methods for risk prediction of multicategory outcomes: dichotomized logistic regression vs. multinomial logit regression 2024 Estimating multiple logistic regression models of dichotomized outcomes may result in poorly calibrated predictions for an outcome with multiple ordinal categories. Multinomial continuation-ratio logit regression produces better calibrated predictions, constr… Article Critical Symbolic Virtual Narrative Open Statistics Open Article Page