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Feb
7
accepted How to find 5-year survival probability of newborns from a life table?
Feb
6
revised SEM with categorical complex survey data adjusting for cluster effect
added 825 characters in body; edited title
Feb
6
comment SEM with categorical complex survey data adjusting for cluster effect
My data comes from a two stage stratified cluster sample. There are some categorical (ordinal) manifest (dependent/endogenous) variables. I believe these variables can be divided into three major groups and are manifested by three factors, such as 'economic independence', 'self-esteem' etc. which can also be related to each other. Some covariates and independent factors are also there which are supposed to be associated with these latent variables and manifest variables. I want to adjust for clustering and draw some statistical causal relation among the latent factors and variables.
Feb
6
comment SEM with categorical complex survey data adjusting for cluster effect
There are two latent factors like self-esteem and economic independence. Should we treat these as categorical? I think every categorical latent factor has some underlying continuous process. The manifest variables are all categorical (ordinal to be exact).
Feb
6
comment SEM with categorical complex survey data adjusting for cluster effect
My data contains several categorical variables and I have assumption that these variables are manifested by some latent factors. I also have some covariates. The data comes from a two stage stratified cluster survey. I have an assumption that there might be cluster level homogeneity and I want to adjust for that. It seems like Stata takes too long and I don't know about any other software that deals with both categorical and survey data. Since people who knows SEM are likely to answer and I found a tag called software recommendation, so I posted it. Should I take my question to that site?
Feb
5
asked SEM with categorical complex survey data adjusting for cluster effect
Jan
20
asked How to find 5-year survival probability of newborns from a life table?
Jan
14
comment Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Thank you @Cliff AB
Jan
14
comment Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Thank you @JohnK
Jan
14
comment Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Thank you for your comment. Yeah, the graph disproves the statement itself!
Jan
14
accepted Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Jan
12
asked Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Jan
9
comment Lifetime simulation problem for late entry to the study
I think even if there was no late entry, and all patients started at the same point in time, $C_i$ (which is the censoring time for $i$th subject) could still be distributed as $Uniform(0, 5)$, not only that $C_i=5$. Because it accounts for lost to follow up in the middle of the study (which may happen any time during the study period). What do you think?
Jan
9
asked Lifetime simulation problem for late entry to the study
Nov
12
awarded  Taxonomist
Nov
10
awarded  Notable Question
Nov
7
comment Analyzing the effects of different scholarships among university students
@DJohnson Actually this is a data set from only one university.
Nov
6
comment Analyzing the effects of different scholarships among university students
@DJohnson Well, in fact many! We have 83191 students. Dropping semester is quite common among students. I have added a possible look of the data.
Nov
6
revised Analyzing the effects of different scholarships among university students
added 1372 characters in body
Nov
6
comment Analyzing the effects of different scholarships among university students
@rightskewed Could you please tell me more about how I should use the information of the semesters in which the programs were received. Note that, the data set has so many blanks-- because GPA was not available for all the semesters, as some students skip semesters. Again, the semester information at which a student receives a program is certainly only available to those who actually received a program.