This function provides a detailed fixed effects meta-analysis of relative risks/odds ratios from a matrix of effect measures, lower and upper confidence limits.

1 | ```
fixedMetaAnalRROR(data, alpha=0.05)
``` |

`data` |
A matrix with individual studies in each row. The first column contains the estimate of the relative risk/odds ratio, second column contains the 95 % lower limit and the third contains the 95 % upper limit. |

`alpha` |
The desired type I error rate for calculation of confidence limits for the pooled fixed effects measure. For simplicity, this function assumes that each of the inputed lower and upper limits are 95 % confidence limits. |

This function performs an elementary fixed effects meta-analysis of relative risks/odds ratios
from an input matrix of relative risks and their respective confidence limits for
any number of studies. This function is designed to be used in conjunction with `n4propsMeta`

in order to provide a sample size calculation based on an updated meta-analysis. Note that
this function works on the log scale to calculate variances and the pooled effect measure. Additional utilities
for a meta-analysis or meta-regression can be found in Viechbauer (2006).

`data` |
The data matrix is returned. |

`thetaF` |
The fixed effects Log Relative Risk (RR)/Odds Ratio (OR). |

`lF` |
The 100(1 - |

`uF` |
The 100(1 - |

`Var` |
The variance of the Log RR/OR. |

`Sig` |
Is the result statistically significant (Binary zero or one)? |

`alpha` |
The desired type I error rate. |

Michael Rotondi, mrotondi@yorku.ca

Matthews JNS. Introduction to Randomized Controlled Clinical Trials (2nd Ed.) Chapman & Hall: New York, 2006.

Donner A and Klar N. Design and Analysis of Cluster Randomization Trials in Health Research. Arnold: London, 2000.

Viechtbauer, W. Metafor: A meta-analysis package for R. 2010. Available at: http://www.metafor-project.org/

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