**Meta-analysis of prognosis studies** is used to summaries prognostic accuracy at different time points using multiple prognosis studies

** 1. Functionalities **

- To upload data files, preview data set, and check the correctness of data input
- The model for meta-analysis is bivariate normal model (Hattori & Zhou. 2016)
- To produce time-dependent summary ROC (SROC) curves and summary AUC (SAUC)
- To detect the publication bias in the results
- To do sensitivity analysis for the publication bias

** 2. The format of your data**

- Data of log hazard ratio and standard errors or confidence intervals
- Data of survival probabilities at different time points
- Data of median survival probabilities

*Case Example*

* We used the meta-analysis for Ki67. (de Azambuja et al. 2007)
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#### Please follow the **Steps**, and **Outputs** will give the analytical results.

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# Summary of Prognostic Studies

# Bivariate Normal Model for Meta-Analysis

#### Meta-analysis

##### Forest Plot for lnHR

##### Forest Plot for Sensitivity

##### Forest Plot for Specificity

# Likelihood-based Sensitivity Analysis for Publication Bias

#### Estimates of sensitivity analysis