# data[].attributes.headline
Failure to demonstrate the comparability of patients in treatment and control groups / poorly described techniques

# data[].attributes.subject
Failure to demonstrate the comparability of patients in treatment and control groups / poorly described techniques

# data[].attributes.body
1. A study for chemotherapy for breast cancer in women should include the women in similar life, health status. For example if a woman has an infection and others don't, she has to be excluded from the study. Although it is very difficult to provide enough amount of people in a study who are in similar positions in life. This is a very important issur that the researchers have to consider about.
2.  The technologies that we use in our studies should be clearly described to explain all the techniques and procedures for other scientist and researchers. By this manner our study will be questinable and provable.

# data[].attributes.headline
Access, Longitudinal ffect, and Fluency in a Language

# data[].attributes.subject
Access, Longitudinal ffect, and Fluency in a Language

# data[].attributes.body
I.access
1-There might be limitations about the sample we can access , for example "Obesity Research" conducted in US, is mostly based on white people, if the same research was done here it would be even more difficult to reach black people.

II.Fluency in a Language
1- Research in Mandarine, Asia, published in English
2- Translation difficulties between dutch and English

III. Longitudinal Effects
1- The effect of watching TV during childhood on their adult lives
2- Market trends and brand awareness

# data[].attributes.body
Taking not only your self thoughts but also what the other people say. Keeping yourself away from selective memory, telescoping, attribution and exaggeration.

# data[].attributes.headline
15. Control groups are used for any change observed in the experimental group is due to the treatment which is being studied rather than other effects and factors. So we should stabilize any variability except one that we are studying so that it’s effect on treatment can be appropriately observed.

# data[].attributes.subject
15. Control groups are used for any change observed in the experimental group is due to the treatment which is being studied rather than other effects and factors. So we should stabilize any variability except one that we are studying so that it’s effect on treatment can be appropriately observed.

# data[].attributes.headline
13. Inappropriate Statistical Analysis and Planning

# data[].attributes.subject
13. Inappropriate Statistical Analysis and Planning

# data[].attributes.body
Sometimes, statistical analyses which are conducted for research, can't be related to main topic. Most appropriate should be selected. For example, if we want to conduct a survey, the questions should be related to main topics of our resarch. If the statistical analyses can't fit, the results of research can be wrong, and maybe it transmits our wrong way.

# data[].attributes.headline
Failure to demonstrate the comparability of patients in treatment and control groups / Poorly described techniques

# data[].attributes.subject
Failure to demonstrate the comparability of patients in treatment and control groups / Poorly described techniques

# data[].attributes.body
1.

# data[].attributes.headline
Loss of patients to follow-up and cultural bias

# data[].attributes.subject
Loss of patients to follow-up and cultural bias

# data[].attributes.body
8. Sample size is the number of participants in the group which is used in a research that is supposed to represent a specific population the most accurate way possible.
Small sample size decreases statistical power / Too large samples are usually seen as a waste of effort and sources.

9. Poorly described patient populations
It points out the importance of working with subjects that are suitably related to the context of the research. If we outline the participants' characteristics correctly before we start the research, it will give us the most appropriate results later on.
For example, if you are doing a pediatric research, it would be useless to take people older than 25 as participants for the research.