[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
"Austin Nichols" <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: growth rate |

Date |
Wed, 4 Jun 2008 09:15:50 -0400 |

Rachele Capocchi <rachele.capocchi@arsanita.toscana.it>: One way is to run a regression. If you run a linear regression of your outcome on year, you get the linear trend estimate, which you can convert to a growth rate over the whole period using the mean of the outcome at a variety of points in time (for example the central time period), depending on the desired interpretation. If you regress the log outcome on year, you get the exponential trend estimate, in percent growth per year. Note that if the trend is neither linear nor exponential, you may prefer a different transformation of the outcome, or a different type of regression. sysuse uslifeexp su year replace year=year-r(mean) reg le year, r nlcom _b[year]/_b[_cons] poisson le year, r nptrend le, by(year) nodetail If you want a test rather than a CI, use the -test- command or -nptrend-. Did you want a p-value on a test of the null hypothesis that the trend is zero? Those p-values appear in the example above. If you only have 5 data points, though, I don't think you should put much trust in asymptotic approximations. On Wed, Jun 4, 2008 at 5:54 AM, Rachele Capocchi <rachele.capocchi@arsanita.toscana.it> wrote: > Dear Statalisters, > > I have to do a trend analysis on the hospitalization rates in 5 years, > between 2001 and 2005. I have the absolute numbers of hospitalization, > the population of all years and I calculated the hospitalization rates > yearly. > I need to calculate the CI for the growth rate (ex. 12,5% - 13,5% growth > rate from 2001 to 2005) and the p value. > Which test I have to do ? * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: growth rate***From:*Rachele Capocchi <rachele.capocchi@arsanita.toscana.it>

- Prev by Date:
**st: xtmixed: comparing variable coefficients across models** - Next by Date:
**st: Stratify analysis - logistic regression with dummies** - Previous by thread:
**st: growth rate** - Next by thread:
**st: R: growth rate** - Index(es):

© Copyright 1996–2016 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |