Recent content by John_CSF

  1. J

    Is my model a good fit?

    Sorry for bumping, but since I need to submit on Monday... Any thoughts on the wilcoxon signed rank test? http://rcompanion.org/handbook/F_06.html
  2. J

    Is my model a good fit?

    The dataset is as follows (not exact figures): Age Band ---- Mortality Rate 0-9 ----------------5% 10-19 ----------------3% 20-29 ----------------7% 30-39 ----------------7% 40-49 ----------------9% 50-59 ----------------12% 60-69 ----------------25% 70-79----------------35% There are not...
  3. J

    Is my model a good fit?

    Yes, it's an assignment. Indeed I do need to perform a test.
  4. J

    Is my model a good fit?

    Yes, that's what I am thinking of, however I am not able to clearly tell if this test is "proper" for my case. I am asked to provide a proof of goodness-of-fit via statistical test, R-square and visual graphs will also provided. The rate is produced on a per age band basis. The database...
  5. J

    Is my model a good fit?

    No problem at all with the questions. Nope I have not tried a loess fitting. Mainly because this is not required (cubic spline smoothing is requested) and also due to time restraints. I am using the smooth.spline function in R and I am setting the number of knots with it so that one knot is...
  6. J

    Is my model a good fit?

    It's a single value, no variation. For example, ages 0-9: rate 5% | ages 10-19: rate 3% | and so on...
  7. J

    Is my model a good fit?

    Exactly, 10 year age groupings. Fitting a spline is the given approach, I can't change this unfortunately. Could wilcoxon signed rank test work for my case?
  8. J

    Is my model a good fit?

    I am attaching below a graphical representation. The white bullets are the Observed Rates, while the red line corresponds to the Estimated Rates. I guess one can say that graphically there seems to be a good fit, however I still need to perform a statistical test.
  9. J

    Is my model a good fit?

    Hello everyone, I am being tortured with the following problem... I have a set of crude mortality rates for ages 0 to 60. Let's call them Observed Rates. I use a smoothing technique (cubic spline regression) on the crude mortality rates and so smoothed mortality rates are produced for ages 0...
  10. J

    Interpolated Rates vs Initial Rates

    Hello everyone, I am currently into my postgraduate degree in Applied Biostatistics and I am trying to figure out an answer to the following issue: I have been given the below dataset: Age ----- Mortality Rate 0 ------------ 5% 10 ------------ 8% 20 ------------...