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  2. Kaplan–Meier estimator - Wikipedia

    en.wikipedia.org/wiki/Kaplan–Meier_estimator

    An example of a Kaplan–Meier plot for two conditions associated with patient survival. The Kaplan–Meier estimator, [1] [2] also known as the product limit estimator, is a non-parametric statistic used to estimate the survival function from lifetime data. In medical research, it is often used to measure the fraction of patients living for a ...

  3. Survival function - Wikipedia

    en.wikipedia.org/wiki/Survival_function

    Median survival may be determined from the survival function: The median survival is the point where the survival function intersects the value 0.5. [4] For example, for survival function 2, 50% of the subjects survive 3.72 months. Median survival is thus 3.72 months. Survival function with indicated median survival. Median survival cannot ...

  4. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    While many parametric models assume a continuous-time, discrete-time survival models can be mapped to a binary classification problem. In a discrete-time survival model the survival period is artificially resampled in intervals where for each interval a binary target indicator is recorded if the event takes place in a certain time horizon. [17]

  5. Survival rate - Wikipedia

    en.wikipedia.org/wiki/Survival_rate

    Survival rate is a part of survival analysis.It is the proportion of people in a study or treatment group still alive at a given period of time after diagnosis. It is a method of describing prognosis in certain disease conditions, and can be used for the assessment of standards of therapy.

  6. Accelerated failure time model - Wikipedia

    en.wikipedia.org/wiki/Accelerated_failure_time_model

    In full generality, the accelerated failure time model can be specified as [2] (|) = ()where denotes the joint effect of covariates, typically = ⁡ ([+ +]). (Specifying the regression coefficients with a negative sign implies that high values of the covariates increase the survival time, but this is merely a sign convention; without a negative sign, they increase the hazard.)

  7. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.

  8. Purchase rates for Wednesday, December 4, 2024 - AOL

    www.aol.com/finance/mortgage-and-refinance-rates...

    Freddie Mac reports an average 6.81% for a 30-year fixed-rate mortgage, down 3 basis points from last week's average 6.84%, according to its weekly Prime Mortgage Market Survey of nationwide ...

  9. Recurrent event analysis - Wikipedia

    en.wikipedia.org/wiki/Recurrent_event_analysis

    Recurrent event analysis is a branch of survival analysis that analyzes the time until recurrences occur, such as recurrences of traits or diseases. Recurrent events are often analyzed in social sciences and medical studies, for example recurring infections, depressions or cancer recurrences.