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In Bayesian statistics, the posterior predictive distribution is the distribution of possible unobserved values conditional on the observed values. [1] [2]Given a set of N i.i.d. observations = {, …,}, a new value ~ will be drawn from a distribution that depends on a parameter , where is the parameter space.
This is a list of major breast cancer cell lines that are primarily used in breast cancer research. [Notes 1] List of cell lines. Cell line Primary tumor
Posterior probability is a conditional probability conditioned on randomly observed data. Hence it is a random variable. For a random variable, it is important to summarize its amount of uncertainty. One way to achieve this goal is to provide a credible interval of the posterior probability. [11]
Predictive power is a Bayesian power. A parameter in Bayesian setting is a random variable. Predictive power is a function of a parameter(s), therefore predictive power is also a variable. Both conditional power and predictive power use statistical significance as success criteria. However statistical significance is often not enough to define ...
Perineural and/or lymphovascular space invasion is usually considered as part of the histological description of a breast cancer, and when present may be associated with more aggressive disease. Grade. Grading focuses on the appearance of the breast cancer cells compared to the appearance of normal breast tissue. Normal cells in an organ like ...
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
Invasive carcinoma NST accounts for half of all breast cancer diagnoses in women and is the most common type of invasive breast cancer. It is also the most commonly diagnosed form of male breast cancer. Invasive carcinoma NST is classified by its microscopic, molecular, and genetic features.
A predictive marker is a particular protein or gene that indicates sensitivity or resistance to a specific therapy. The use of predictive markers is becoming increasingly relevant in cancer therapy as it allows for better identification of patients who will respond positively to the therapy.