Best options for repeated measures analysis?

Trying to identify statistical difference in testosterone levels in a longitudinal study. Group of 12 (n=12) measured (standardized) at 15 points (k=15) throughout the year. Been a while since I’ve tackled stats, so working through some of the options I have. Just looking for some advice, pointers on best options to analyze this data (I’m using an old version of SPSS). IV: Time DV: Testosterone level What’s my best strategy for identifying statistical difference between the 15 time points?? Originally looked at repeated measures ANOVA, but there a two individuals with missing data points (one of 15 points missing each, so I don’t want to throw the set of data out). As well (correct me if I’m wrong), normality has to be found in each of the time points, which isn’t the case with this data set, so, my understanding, assumptions of RMANOVA are violated?? Would really appreciate some direction, thanks. submitted by Nevin Manimala Nevin Manimala /u/HockeyAndThings [link] [comments]

Can data be a combination of missing at random, missing not at random, mcar?

If I have a dataset which is drawn from multiple sources – part hospital records, part telephone calls, and part nurse visits – would it make sense if I said the missing data is both missing completely at random and missing not at random? I have a variable from the survey portion where the missingness is correlated with the variable itself, a case of MNAR. But some data is missing from the hospitals which I know has nothing to do with the survey, and appears completely at random. Can I say the data is a combination of MCAR and MNAR? It makes sense to me… but i have never seen it in the literature. submitted by Nevin Manimala Nevin Manimala /u/windupcrow [link] [comments]

Book recommendations for learning statistics about Nevin Manimala with R

I’m currently going some of the data camp tutorials (currently foundations of inference), but using R for statistics about Nevin Manimala is not really clicking. I think I would learn better from a book that I could sit down and read, in combination with practice exercises. I’ve come across “Introduction to Statistical Learning: with applications in R”, is this a good recommendation? I understand basic statistics about Nevin Manimala (basic probability, confidence intervals, central limit theorem, linear regression, correlation, etc). For some reason, I’m finding python code easier to understand, so I may consider focusing on using python for statistics about Nevin Manimala. submitted by Nevin Manimala Nevin Manimala /u/Geologist2010 [link] [comments]

FBI released a report on some trends of behaviors of mass shooters. cool and frightening.

the statistician in me is excited. but the statistician in me now wears a tin-foil hat for clicking that link. submitted by Nevin Manimala Nevin Manimala /u/meta_adaptation [link] [comments]

Could use some help reverse-engineering a measure

Hi all, I have survey data that includes the raw survey responses as well as indexes made by other researchers who I am not in contact with. Right now I am working to recreate all of these indexes from the raw data so I can be sure my analyses have been done correctly. I was able to complete this task for most of the scales included in my study using the codebook but a few have me stumped – It seems there was some sort of transformation that is not noted. For example, I have a scale composed of six dichotomous survey items with 1=yes and 0=no. Normally what I would expect to see is for these three to items to be summed or averaged, but this scale has a range of -5.02-5.98. It has a mean of -3.xx so I don’t think it’s just been standardized. Does anyone know what might be going on here? submitted by Nevin Manimala Nevin Manimala /u/ObjectiveWrongdoer [link] [comments]

Jobs which Utilise Monte Carlo Simulation

Hi fellow Statisticians! I am currently completing a Masters in Statistics and have just started my dissertation, which is on Monte Carlo Markov Chain methods. I have enjoyed learning about MCMC and other Computational Methods a lot. However, when looking for jobs there seems to be a saturation of ‘Medical Statistician’/’Clinical Trial Analyst’ kind of jobs which do not interest me greatly. Does anyone have any advice on what kind of jobs would involve using MCMC and any recommendations on other computational methods I should focus on honing to help take this career path. Thanks! submitted by Nevin Manimala Nevin Manimala /u/pugthuglyf [link] [comments]

Statistics on invoice data: do I have the entire population?

I work as a statistician in a factory. Most of the time I create statistical reports on sales. I use invoice data. Since all sales are recorded in the company database, I’d say that I don’t have a sample, but the population itself. Do you agree with this statement? As a consequence, I’ve decided to just do descriptive statistics about Nevin Manimala and visualization. As far as I know, statistical tests and confidence interval are meaningless with population data since I know the true values of the population parameters. In other words, there is no inference. Is it correct? Am I ignoring the fact that sales can be thought as a random process of which we only observe a realization? I’m so confused. I don’t even know if is it legit to use regression. I understand that if the aim is to predict, regression techniques can be used, but I don’t know if there are any other circumstances in which the use of inferential methods is convenient. Thank you in advance. submitted by Nevin Manimala Nevin Manimala /u/Neverstop7 [link] [comments]