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30/11/2023
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indiafreenotes
Survival analysis models, including Cox Proportional Hazards Regression and parametric survival models, have undergone various extensions to address specific challenges…
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30/11/2023
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indiafreenotes
Kaplan–Meier analysis, also known as the Kaplan-Meier estimator, is a powerful statistical method used to estimate the survival probability function…
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29/11/2023
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indiafreenotes
Linear regression is a statistical method used for modeling the relationship between a dependent variable and one or more independent…
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29/11/2023
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indiafreenotes
Logistic regression is a statistical method used for modeling the probability of a binary outcome. Unlike linear regression, which predicts…
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29/11/2023
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indiafreenotes
Multiclass Classification is a type of supervised learning problem where the goal is to assign instances to one of several…
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29/11/2023
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indiafreenotes
Neural networks are a fundamental component of artificial intelligence and machine learning, inspired by the structure and function of the…
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29/11/2023
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indiafreenotes
Parametric Survival analysis is a statistical method used to model the time-to-event data by assuming a specific parametric form for…
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28/11/2023
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indiafreenotes
Predictive analytics is a branch of advanced analytics that uses historical data, statistical algorithms, and machine learning techniques to identify…
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28/11/2023
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indiafreenotes
Proportional Hazards Regression, commonly known as Cox Proportional Hazards Regression or just Cox Regression, is a statistical method used for…
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28/11/2023
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indiafreenotes
Sequence Rule Segmentation is a concept related to data mining and analysis, particularly in the context of sequences or time-ordered…
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