Hi everyone, I would appreciate to guide me on this?
I have the study design as a serial cross-sectional study with ten years of data, the goal is: to Identify changes in the workload of activities performed by providers over the past 10 years.
The workload or amount of work encompasses nature of activities like lab test and etc or number of patients.
I am not sure can I apply time series? because it is "repeated cross sectional, so there may be different sample each year, how to do this analyze? time series is correct?
Thanks
IYH Dear Bahar Ysr
Kindly see my AI LLM Bot output https://hf.co/chat/r/ugMTV9P
You may continue the conversation if you like and / or ask more questions to the bot
Time series analysis could be a suitable approach to analyze this type of data, even though it's not a traditional time series in the sense of having continuous observations for the same units over time.
In a serial cross-sectional study, you have repeated measurements of different samples taken at multiple time points. While each sample may represent a different group of individuals or units, you still have data collected at regular intervals over time. Time series analysis can be adapted to analyze such data by focusing on the trends and patterns observed across time.
- Badges
- Science topic