- Rigorous in research is a way to establish confidence in the finding of research study or opions/arguments.

It also demonstrates the consistency/ accuracy in the method of research. 

—> trustworthy evidence.

- Ex: "It is about determining the appropriate sample size for your study so that you have sufficient statistical power to be more confident about whether you are generating false positives or missing out on false negatives". - https://journals.asm.org/doi/10.1128/mBio.01902-16?fbclid=IwAR0ujqOKyptPFRaijTHy_pY_U4BW7Rg4NuhrQbUXFHnB-c0Aegv9pbiuZQA

2. Pros:

- Without the rigor, the result and the research will have low value and insufficient support  

- Rigorous helps reduce the bias in research findings, data analysis and researcher's perspectives.

3. Scale of rigor in research:
- Purposfully misleading rigor
- Creative of crafty rigor
- Careless rigor
- Careful rigor
- Enduring rigor 

Relevant: students, low budget, lack of equipment, lack of information.

Second choice: treatment for Alzheimer disease

=>Suitable

Revelant:

=> Survey, question list, statistic, data

=> Equipment: excel, minitab, sources on internet, word MS, supervisor who masters in Alzheimer disease field
=> Time: 6-9 months
=> Cost: suitable for students

Questions:
+ Do patients in HCM city using Donezepil have effects?

Vision: research in new drugs with better efficacy than Donezepil in AD treatment 
+ Which structure affects on adverse events?
+ Which structure participate in increase effecacy and reduce adverse events?
+ Which structure can be changed for better efficacy?

   2. Specific objectives: 

“Patients were randomized into 3 groups according to the dose escalation method: 15 mg of donepezil for 4 weeks before escalating to 23 mg (group 1), 10 mg and 23 mg on alternate days for 4 weeks prior to escalation (group 2), and direct escalation to 23 mg (group 3)”