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Re: st: Effect size / sample size / power calculation |

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Wed, 6 Jan 2010 12:38:24 -0500 |

Miranda, -sampsi- is not the right command to do the initial calculation, for the effect size for multiple linear regression is not beta, but delta = r/sqrt( 1 - r^2) where r = partial correlation of Y and X, adjusted for the other predictors Z. and beta = r SD(X|Z) /SD(Y|Z)) To solve for the detectable beta, use Russ Lenth's online Java calculator (Linear regression) at: http://www.stat.uiowa.edu/%7Erlenth/Power/ . You have to enter the Variance Inflation Factor VIF. ding, since the -Steve On Wed, Jan 6, 2010 at 9:27 AM, Miranda Kim <[email protected]> wrote: > Could anyone help me with this... > To detect a regression coefficient of 0.41 with standard deviation 0.91 I > can compute a sample size (using a 5% level of significance with 90% power) > with the following command: > sampsi 0.41 0, p(0.9) sd(0.91) onesam > How could I work out what regression coefficient (effect size) is detectable > with a sample size of 150, based on this information? > I need to do this with about 20 regression coefficients. > I am using stata 11. > Many thanks, > Miranda > > * > * 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/ > -- Steven Samuels [email protected] 18 Cantine's Island Saugerties NY 12477 USA 845-246-0774 * * 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**:**Re: st: Effect size / sample size / power calculation***From:*Miranda Kim <[email protected]>

**References**:**st: Effect size / sample size / power calculation***From:*Miranda Kim <[email protected]>

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