summariseSequenceRatios {CohortSymmetry} | R Documentation |

## Sequence ratio calculations

### Description

Using generateSequenceCohortSet to obtain sequence ratios for the desired outcomes.

### Usage

```
summariseSequenceRatios(
cohort,
cohortId = NULL,
confidenceInterval = 95,
movingAverageRestriction = 548,
minCellCount = 5
)
```

### Arguments

`cohort` |
A cohort table in the cdm. |

`cohortId` |
The Ids in the cohort that are to be included in the analyses. |

`confidenceInterval` |
Default is 95, indicating the central 95% confidence interval. |

`movingAverageRestriction` |
The moving window when calculating nSR, default is 548. |

`minCellCount` |
The minimum number of events to reported, below which results will be obscured. If 0, all results will be reported. |

### Value

A local table with all the analyses.

### Examples

```
library(CohortSymmetry)
cdm <- mockCohortSymmetry()
cdm <- generateSequenceCohortSet(cdm = cdm,
name = "joined_cohorts",
indexTable = "cohort_1",
markerTable = "cohort_2")
pssa_result <- summariseSequenceRatios(cohort = cdm$joined_cohorts)
pssa_result
CDMConnector::cdmDisconnect(cdm)
```

[Package

*CohortSymmetry*version 0.1.2 Index]