epidemiology

How to find adjusted OR as given in Table 6 in spss? The procedure followed to get it like i found binary logistic regression is used to find crude OR using single indep. variable.
2. EpiEstim package and discr_si function

Hello everyone. I am working with the EpiEstim package (on R) in order to estimate "Rt" with incidence data. However, in the package documentation (https://cran.r-project.org/web/packages/EpiEstim/EpiEstim.pdf) there is a point that I can't properly understand. The function "discr_si" (which...
3. Should IRRs and HRs always be equal?

I am running an analysis in a large population registry where individuals enter and leave the dataset at different time points. When i estimated the IRR between two distinct groups and a health outcome, and then a HR, I am finding a small difference (IRR 2.18, HR 2.01). Shouldn't they have...
4. Why is there a difference in the confidence intervals calculated by SPSS compared to SAS and Epi-Info 7?

I writing sample code for colleagues in developing countries who will use it to analyze a multi-stage, cluster-sample survey that measures the prevalence of infection with soil-transmitted intestinal worms. So far, I have used three of the software packages they might use: IBM SPSS Statistics (I...
5. Can you include negative results when doing statistics of antibody titers?

I need to analyse some antibody titers. Depending on factors they are divided into two (eg. male and female) or more groups. I have to compare the groups. Example: male 1/2 neg neg neg 1/8 female neg 1/4 1/16 1/2 1/4 For the descriptive part, if I got it right, I calculate the prevalence and use...
6. PAF through formula or through Conditional Logistic Regression

Hi all, In a large registry dataset of psychiatric patients, if one wants to find the excess risk of schizophrenia patients developing depression, what would be the best method to apply: 1) Use the relevant formula to calculate PAF (Population Attributable Fraction). Formula can be...
7. Directed acyclic graph

Hello I'm a beginner at epidemiology and have an assignment where I'm trying to create a DAG using dagitty to determine what to adjust for when looking at wether country of birth has an effect on general health. Besides the exposure (COB) and the outcome (GH) I have the following variables...
8. Measurement error in binary outcome variable for a case-control study

I am currently working on a case-control study on a rare disease using a large patient database. Using conditional logistic regression I will calculate odds ratios for different exposures in cases and controls. The validity of the records for the disease of interest (outcome) is unknown. I...
9. How to analyze survey data with three levels of data in SAS?

We analyze data from a European survey (34 countries ) for quality of life , the sampling procedure is described as a " multi-stage stratified and clustured sampling design " . Our outcome variable is binary. There are three levels of data to be taken into account (individuals, regions...
10. Need help with linear mixed modeling in SPSS

So I've looked a quite a few tutorials and forums to see if anyone has posted something similar to the dataset I'm analyzing, and it doesn't seem like anyone has. I more need someone to tell me if what I'm doing is right or not. My data is looking at maternal cytokine levels during the...
11. How to become a statistician (Epidemiologist) If I have not measured in Statistics

:yup: Hello There I am a masters student in health science. By health science I mean a mix of epidemiology, psychology, and health policy. It is a great major but I am leaning more toward epidemiology. But as you know It is not worth it to go back to school to get a MSc in Epi because there is...
12. detecting a variance trend in random effects

Greetings I have a measurements on grouped individuals. There are approximately 100 groups, and approximately 500 individuals per group, with measurements taken over 5 years. There are no repeated measurements. The data are observational. The outcome is binary and there are 5 candidate...
13. Age as time scale

I am generally a SAS user, I had a general question concerning how to fit survival models using age as the time scale within R. Would this fit be appropriate and also control for the left-truncated nature of the data? I know in SAS you need to specify a specific option. I was just...
14. Using Age as Time Scale

I am generally a SAS user, I had a general question concerning how to fit survival models using age as the time scale within R. Would this fit be appropriate and also control for the left-truncated nature of the data? I know in SAS you need to specify a specific option. I was just...