network profile
| bio | website | |
|---|---|---|
| location | ||
| age | ||
| visits | member for | 1 year, 1 month |
| seen | Apr 15 '12 at 14:44 | |
| stats | profile views | 5 |
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Apr 15 |
comment |
Critical appraisal of survival paper Sorry yes paper is not open access. I have pdf but I think not write to post it. Paper said "cumulative hazard assumption was tested by Schoenfeld residuals and by testing the time-dependent coefficients", so not critical this, but not known if parametric relative survive is better ? Think bias from missing data, but I must appraize survival model in primary for essay in 1500 words +/- 10%. Now have 200 words, so it problem is for me. |
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Apr 15 |
asked | Critical appraisal of survival paper |
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Apr 11 |
awarded | Scholar |
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Apr 11 |
accepted | Sample size calculation for truncated normal distribution |
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Apr 10 |
comment |
Sample size calculation for truncated normal distribution thank you again. So I can use 0.0287 as SD in standard power calculation ? With example of following R code to detect 0.01 difference from control to intervention group ? power.t.test(delta = 0.01, sd = 0.0287 , sig.level = 0.05 , power = 0.9 , type = "two.sample", alternative = "two.sided") thank you more |
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Apr 10 |
comment |
Sample size calculation for truncated normal distribution @whuber thank you. So for my case I can take mean=1.65 and SD=0.0675 (which is SD of adult female height known from previous study) and use power.t.test with delta = 0.01, sd = 0.0675, sig.level = 0.05, power = 0.9, type = "two.sample", alternative = "two.sided", or I need to find SD of difference betwen height of adult females ? |
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Apr 10 |
awarded | Student |
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Apr 10 |
comment |
Sample size calculation for truncated normal distribution Thank you @andrea . I mention t-test because that is what I do /if/ the sample is normal distribution. I would like to make a calculation using truncation distribution, or I also think uniform distribution is good in this case because sample near the mean of the population and range is small. Can I make sample size calculation with truncated normal distribution or uniform distribution ? I prefer calculation instead of the simulation. Please to know your further comment, and also to confirm the central limit theorem is wrong to use for here. |
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Apr 10 |
asked | Sample size calculation for truncated normal distribution |
