Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
"Shoryoku Hino" <shoryok@ninus.ocn.ne.jp> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: statistical test and sensitivity analysis for matched pairs with censoring |

Date |
Tue, 28 Dec 2010 10:29:40 +0900 |

Dear Joseph, Thank you for your reply and kind advice. I should have made my question clearer. All I want to know is the test for survival data in case of paired sample. For example, if it were not survival data, we would use signed rank test for continuous variable in pared sample instead of unpaired t-test or rank sum test. I would use McNemar test for proportion instead of chi square test. Rosenbaum's sensitivity test could be applicable in these cases. In my case, survival data, I think there might be a better, more powerful test for paired sample than log-rank test or Wilcoxon test. I would like you to give me any suggestion. Sho -----Original Message----- From: Joseph Coveney [mailto:jcoveney@bigplanet.com] Sent: Sunday, December 26, 2010 8:08 PM To: statalist@hsphsun2.harvard.edu Cc: Shoryoku Hino Subject: Re: statistical test and sensitivity analysis for matched pairs with censoring Shoryoku Hino wrote: I am using Stata11 and working on the observational data. I produced the one-to-one matched pairs using PSMATCH2 to compare the treatment A with B in terms of maintenance effect. The primary outcome is the time to recurrence of the disease. There are two questions I would like to ask you. 1) What is the appropriate statistical test in this situation? RF.Woolson seems to recommend censored-data version of signed rank test. But I have no idea how we can do it on Stata. 2) How to perform sensitivity analysis to determine the magnitude of hidden bias in this case? I wonder if you could help me to know the way to operate Stata for these purpose. ---------------------------------------------------------------------------- ---- 1) Help files for Stata's official survival time commands can be seen by typing help st at the command line. Stat has a selection of tests for censored survival time data. The help file for these tests can be seen by typing help sts_test at the command line. I don't know whether the particular one you mention is among the ones that Stata offers. Stata also has modeling commands for this type of data. You can click on the hyperlinks in the viewer window that displays after typing "help st" to see more about these modeling commands. There are also user-written commands for survival time or censored data. You can see more about these by typing findit survival and findit censored at the command line, and then clicking on the hyperlinks that appear in the viewer window that pops up. 2) I don't understand your question and so can't offer a specific answer to it, but in general you can use Monte Carlo simulation in order to explore the properties of a method. To see Stata's help file for Monte Carlo simulation, type help simulate at the command line. Joseph Coveney * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**st: Re: statistical test and sensitivity analysis for matched pairs with censoring***From:*"Joseph Coveney" <jcoveney@bigplanet.com>

**References**:**st: statistical test and sensitivity analysis for matched pairs with censoring***From:*"Shoryoku Hino" <shoryok@ninus.ocn.ne.jp>

**st: Re: statistical test and sensitivity analysis for matched pairs with censoring***From:*"Joseph Coveney" <jcoveney@bigplanet.com>

- Prev by Date:
**Re: st: local command with blanks** - Next by Date:
**st: adding a constraint to suregub** - Previous by thread:
**st: Re: statistical test and sensitivity analysis for matched pairs with censoring** - Next by thread:
**st: Re: statistical test and sensitivity analysis for matched pairs with censoring** - Index(es):