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  1. fed2

    ANOVA with missing case

    yes. random intercept.
  2. fed2

    Study Design & Power for Pain Research

    without a control group, you'll probably just be measuring placebo effect.
  3. fed2

    ANOVA with missing case

    probably one-way repeated measures anova since you are testing the effect of time within subject? the missing observation is not a deal breaker. you would need to use mixed-model though. this is an option in most common software packages.
  4. fed2

    Sample from a sample

    Sample, from a sample, from a sample, Creeps in this petty pace from day to day To the last syllable of recorded time; And all our yesterdays have lighted fools The way to dusty death.
  5. fed2

    Converting interview response data to aggregate research data

    basically what i know about survey instruments like sf36 and friends can be summarized as: 1) You add up the responses to the questions to get the result for the instument or 'subscale'. 2) Smart people make instruments and then sell them to you. they use 'cronbach's alpha' to do this...
  6. fed2

    Reference coding in SAS Proc Logistics

    according to SAS docs, you can give a 'global' reference after '/', i assume it applies to all vars. ive never used this. class xxx yyy / ref = "0";
  7. fed2

    Gambling probability problem

    im still wondering why i felt compelled to respond to this thread. must be my skynet control chip got activated like the other bots. Like most people I had one installed with my covid vaccine.
  8. fed2

    Reference coding in SAS Proc Logistics

    hmm interesting. havent seen "name literals" in a while. Must be you have variables with 'illegal' sas names? ie you set the option SAS VALIDVARNAME=any? Ive only seen it when using databases that allow non-sas admissable stuff, so you have to refer to them in this fashion. I feel like this...
  9. fed2

    Negative Binomial Mixed Effects Model

    regarding your data overflow, the only advice i could give is to try to compute the model using the sufficient statistics (ie summary statsistics appropriate to your model). What are those stats is probably too hard to solve for complicated mode though. I would consider using a generalized...
  10. fed2

    When is a difference between two percentages more likely to be statistically significant

    what about if the relative risk is held constant, rather than the risk difference? For example comparing 0.5 to 1.3*0.5=0.65, versus 0.1 to 0.13 or something. Doesn't this just reflect a sort of preference for risk difference? Is the decision about what constitutes an 'apples to apples'...
  11. fed2

    I am better than %

    also depends on what is meant by 'better'. Could be smaller values are 'better'.
  12. fed2

    Ideal level of confidence/certainty

    ok, so you solve the problem now? Great job!
  13. fed2

    Multiplicity

    yes I'm not sure though what method. The usual interim analysis would be by 'group sequential' method. That requires, usually addition of new subjects at each analysis point. I would highly recommend ponying up for statistician on this thing, especially if there is alot on the line here...
  14. fed2

    Ideal level of confidence/certainty

    what about if you use a 20 sided dice with a +1 savings throw?
  15. fed2

    Ideal level of confidence/certainty

    my cat is still confused about impartial-ness. can you explain again in a cat friendly way?
  16. fed2

    Ideal level of confidence/certainty

    i see this table is timeless indeed! But how do you know that is impartial?
  17. fed2

    Ideal level of confidence/certainty

    No im afraid that is incorrect. According to anglewyrm, they are "timeless and impartial image of the universe in all it's possible configurations.".
  18. fed2

    Ideal level of confidence/certainty

    add two columns to ur table. one called 'cost', this is the net cost of being wrong given the predication. one called 'benefit', this is the net earnings for being right on a given prdiction. Note that net earnings/losses may include some costs associated with the number of outcomes allowed...
  19. fed2

    Wilcoxon test.

    concerning the 'robustness' of the result, i think the main support is that the all cause mortality showed a clear effect. if the nyha class wasn' different between the groups, it would sort of imply that nyha score was not associated with mortality, which is not a good score, it seems to me.
  20. fed2

    Ideal level of confidence/certainty

    is this a 'geometric' random variable? sounds like it. that would give you the sampling distribution and other useful info.