Description Usage Format Details Source References Examples

A meta-analytic data set that includes 7 published placebo-controlled randomized studies of the effect of aspirin in preventing death after myocardial infarction. The data set also includes 2 (fictional) unpublished studies.

The defined binary outcome event is death, and is undesired. When using the function `forestsens()`

, specify the option `higher.is.better=FALSE`

.

1 |

A data frame with 9 observations on the following 8 variables.

number | `integer` | Study numeric id (optional) |

study | `character` | Name of study or principal investigator |

year | `integer` | Year (optional) |

outlook | `factor` | Denotes whether a study is unpublished, and if so, what outlook it has. |

ctrl.n | `integer` | The sample size of the control arm. |

expt.n | `integer` | The sample size of the experimental arm. |

ctrl.events | `integer` | The number of (undesired) events within the control arm. |

expt.events | `integer` | The number of (undesired) events within the experimental arm. |

The outlook of a study can be one of the following: `published`

, `very positive`

, `positive`

, `negative`

, `very negative`

, `current effect`

, `no effect`

, `very positive CL`

, `positive CL`

, `negative CL`

, or `very negative CL`

.

Since the outcome event is undesired, when using the function `forestsens()`

, specify the option `higher.is.better=FALSE`

.

Fleiss, JL. (1993) "The statistical basis of meta-analysis." *Stat Methods Med Res.* 2(2):121-45.

Guido Schwartzer. `meta`

package.

1 2 3 4 5 6 7 8 9 10 | ```
library(SAMURAI)
data(Fleiss1993)
forestsens(table=Fleiss1993, binary=TRUE, higher.is.better=FALSE)
# To assign all unpublished studies to each of ten outlooks, one at a time,
# and then return a table of summary effects, their 95% confidence interval,
# and tau-squared.
summtab <- forestsens(table=Fleiss1993, binary=TRUE, higher.is.better=FALSE, all.outlooks=TRUE)
summtab
``` |

SAMURAI documentation built on May 29, 2017, 2:56 p.m.

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