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Cancers ReviewPredictive and Prognostic Value of NonCoding RNA in Breast Cancer David Siobhan 1, *, Richard Chapman 2, Raveled Road 3, Rachel Morris 4, Stefano Bolivia 5, Data Chai 1, Alberto Angelo
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How to fill out predictive and prognostic value

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To fill out predictive and prognostic value, follow these steps:
02
Determine the population or sample that you will be studying.
03
Collect relevant data for each individual in the population or sample.
04
Determine the predictor variables that will be used to predict an outcome of interest.
05
Calculate the predictive value by dividing the number of true positive predictions by the total number of positive predictions.
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Calculate the prognostic value by dividing the number of true positive predictions by the total number of actual positives in the population or sample.
07
Interpret the predictive value as the probability of a positive outcome given a positive prediction.
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Interpret the prognostic value as the percentage of individuals with a positive outcome among those who tested positive.
09
Repeat the process for different predictor variables or subsets of the population or sample if desired.
10
Present the predictive and prognostic values along with any relevant confidence intervals or statistical tests.

Who needs predictive and prognostic value?

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Predictive and prognostic value are needed by various individuals or groups, including:
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- Medical researchers studying the effectiveness of new treatments or diagnostic tests.
03
- Healthcare providers making decisions about patient care and treatment options.
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- Public health officials planning strategies for disease prevention and control.
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- Insurance companies determining premiums and coverage for policyholders.
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- Patients and their families seeking information about their likelihood of a positive outcome or prognosis.
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- Researchers and policymakers studying population health trends and potential interventions.
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- Clinical trial investigators evaluating the efficacy and safety of experimental interventions.
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- Biostatisticians and epidemiologists conducting statistical analyses and modeling.
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Predictive value refers to the ability of a test to accurately predict the likelihood of a particular outcome, while prognostic value indicates the potential future outcomes based on particular tests or assessments in a patient or population.
Entities involved in clinical trials and studies, including researchers, healthcare providers, and institutions involved in new therapies or diagnostics are typically required to file predictive and prognostic value.
To fill out predictive and prognostic value, one must collect relevant data, employ statistical models to analyze the data, and report findings in a structured format according to regulatory guidelines.
The purpose of predictive and prognostic value is to enhance decision-making in clinical practices and research by identifying risks and outcomes associated with specific conditions or treatments.
Information to be reported includes statistical analyses, evidence supporting predictions and prognoses, methodological details, and relevant clinical data.
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