I learned professional attitude of Japan team: on time and on schedule. Thank you to your team and this course.
1. I understood more how to design a study and how to analysis data. 2. Explore the importance of epidemiology for medicine.
Not understand clearly how to choose method to analyze (may be attend this course in the first time)
1. That variety of biostatistical tests and application. 2. Effects of bias and confounder and principle of how to minimize/control.
How can I download a full text study in the world in English? How can I calculate a sample size? I want to join a study designed by an experienced teacher because I want to learn step by step in research work.
Understand results in statistical analysis and corresponding interpretation. Know how to apply appropriate hypothesis testing.
How to practice SPSS. How to start the basic concept about research methodology.
I want to learn principles of epidemiology first.
How to gain basic concepts to read results in a research. How to evaluate the reliable magnitude of evidence in scientific paper.
Some skill to use SPSS and STATA.
Basic epidemiology, biostatistics, how to use SPSS and STATA clearly.
Data analysis. Professional working style of lecturers' team.
How to choose an appropriate study design. How to analyze collected data effectively. How to approach the epidemiological research by English. How to use statistical software.
How to issue a research question, study design. How to use statistical software (SPSS, Excel) for data analysis. How to write a paragraph. How to listen and speak English. How to use the hypothesis testing
How to use testing hypothesis. How to use statistical software (SPSS, Excel) for data analysis. How to write a paper for publication.
Writing, but cannot achieve the skill.
Sensitivity and specificity have impact on OR. Summary and highlight in every presentation. Meaning of Mann Whitney test. Research conducted after disaster in Fukushima prefecture.
Data management in practice.
Review the lessons of Epidemiology in the past. Self-evaluate myself.
SPSS software, Kaplan-Meier curve
I know how to analyze my research clearly and better. I know how to write abstract more interesting.
Knowledge in Biostatistics.
OpenEpi: this is the first I kept to know this useful website. Academic writing. Analyze data: Excel, SPSS. Biostatistics basic knowledge. All of these are what I expected to get from this course. I almost understand what knowledge I want to learn. I also need more time to practice with software.
1. Using SPSS/STATA in particular test. (give more time for practicing and examples.) 2. How to read and apply information on medical article to practice setting.
How to understand the data from a study/paper. How to apply appropriate type of test in data analysis.
It's not necessary do find out a clear difference in study. Double check is necessary when entering data. I admire Japanese in revitalizing Fukushima.
Data analysis with SPSS. How to choose an appropriate hypothesis testing. Survival analysis.
The mistakes in your experience when doing research. Cares) after disaster of Fukushima in health care.
To design a study, and then how to control confounding.
Practice statistics.
We want to learn useful methods for our ongoing research; Is the study design right? Are data collection and data analysis right?
Academic writing, confounding factors, survival analysis. YES
How to analyze data. How to present data in table and graph.
How to analyzing data. Present result table.
The general picture of the way to perform a research study from design to analyze data.
How to use different data analysis method: EXCEL, SPSS, STATA, OpenEpi. More understanding: confounders, how to resolve these. How to present a scientific article. Impressive from solutions to damage from Fukushima disaster.
I understood over a half of the content, mostly on using SPSS and OpenEpi effectively. However, I felt the Statistics tests and "Bias and Confounding" lectures are quite lengthy. So it's hard to keep concentrating and receiving such huge amount of knowledge. All of the exercises are practical and easy to understand, but the concepts of using and conducting tests should be clearer for beginners.
Tips for writing academic papers. Statistic base.
Research design. Present data, write an article. Analyze data, make graph. How to select subjects of a study.
Present research article. Collecting data. Draw graph. Data analysis. Using SPSS.
Teaching method in epidemiology and statistics.
How to use SPSS and Excel to analyze data.
Statistic concepts: p value, bias, confounder. Data analysis using Excel, SPSS. Survival analysis.
I like the way to instruct to use Excel, SPSS. I like the writing skill lecture. Yes, but just a little.
I can understand about 2/3 knowledge that I wanted to learn.
Practice analyzing data using Excel, SPSS. Method to select sample in scientific research.
Interest in doing a scientific research.
Study design: case-control, how to calculate sample size of case-control; cohort. Practice software (SPSS). Basic statistics.
First time learning about research.
Yes, I was. I have learned many good things about biostatistics.
Basic knowledge of statistics. Very useful for clinicians.
Understand more about methods to collect data and to represent data in research. Present the report.
Basic research. I learned some definitions.
More practice.