help

help >

**RE: One sample or t-test**Sep 6, 2018 05:09 PM | Andrew Zalesky

RE: One sample or t-test

Hi Lijun,

When using FDR, the number of permutations must be very large, as described in the manual.

For NBS, 5000 permutations is ok, but for FDR I suggest generating at least 100,000 permutations, otherwise false positives are likely.This will take a longer time to run.

The reason why you have overlapping positive and negative effects is probably due to insufficient number of permutations with FDR.

Andrew

When using FDR, the number of permutations must be very large, as described in the manual.

For NBS, 5000 permutations is ok, but for FDR I suggest generating at least 100,000 permutations, otherwise false positives are likely.This will take a longer time to run.

The reason why you have overlapping positive and negative effects is probably due to insufficient number of permutations with FDR.

Andrew

*Originally posted by LJ Yin:*Hi Andrew,

Thank you very much for your reply. I still have one follow-up question to my second question. I performed one sample test to test both positive and negative effect as you told me but by using FDR (no significant results were found by using NBS). But I found highly overlapped results from both effects. How could this happen?

Many thanks,

Lijun

Thank you very much for your reply. I still have one follow-up question to my second question. I performed one sample test to test both positive and negative effect as you told me but by using FDR (no significant results were found by using NBS). But I found highly overlapped results from both effects. How could this happen?

Many thanks,

Lijun

## Threaded View

Title | Author | Date |
---|---|---|

LJ Yin |
Sep 3, 2018 | |

Alessio Bellato |
Oct 12, 2018 | |

Andrew Zalesky |
Oct 15, 2018 | |

Alessio Bellato |
Oct 16, 2018 | |

Andrew Zalesky |
Sep 3, 2018 | |

LJ Yin |
Sep 5, 2018 | |

Andrew Zalesky |
Sep 6, 2018 | |