Thoughts and notes of a researcher in plant genetics and nutritional epidemiology in Japan and the U.S. with a wide range of interests - choral activities, photography, nature, travel, and drawing. L'épanouissement personnel means personal development and fulfillment. Still in the middle of it, enjoying the process. 農学部、酒類企業研究員を経て、米国ミシガン州立大学で博士過程を卒業後、植物遺伝学と食物疫学の研究に片足ずつつっこんでいます。趣味の合唱、自然観察、旅行、写真、絵描き、国際交流など、いろんな記録です。L'épanouissement personnelは自己研鑽、実現というような意味です。生涯に渡って一緒に旅する人生のテーマ。
1.31.2022
Kinkhao タイ&ラオス料理 キンカーオ
1.29.2022
Chishaku-in temple 智積院
1.28.2022
STATS
Stats are super complex!! After taking introductory and advanced statistics class, and perhaps the more I take classes, the more I feel I'm lost and need help.
It's because:
1. There are countless possibilities of your statistical model, whether the variance of the residuals is equal or not (usually not!), whether the residuals are normally distributed or not, and the types of analyses you want to do!! It's next to impossible to be an expert of all unless you are a stats major.
2. Need to depend on R packages to do the analyses, but not all packages are perfect: some cannot deal with certain types of models, and some cannot handle heteroscedasticity and so on. So.. you would either spend a lot of time searching for 'the perfect package', or use the incomplete method that's available in your package of choice. And it's very hard to judge whether the alternative method is good 'enough'.
Stats.. seems to confuse many researchers that are not a statistician. How can we improve this situation?
1. Mandate ~4 courses to cover all possible models and analyses methods to arm them?
2. A stats consultant on every floor? -- But what if when we graduate and go into an industry?
1.27.2022
西本願寺 Nishi Honganji temple
1.26.2022
1.25.2022
そのうちカフェ
1.24.2022
本場のパッタイ! @四条パクチー
1.23.2022
茎わかめの炒め煮
1.22.2022
Lobio ლობიო
レシピ:http://jp.ndish.com/recipe/re00210/
1.20.2022
雪の金閣寺
1.19.2022
花びらもち ーお正月の和菓子ー
1.17.2022
Flour survey manuscript in progress
Finished editing my flour survey manuscript for the moment... That was a lot of edits to be made!!!
It was an interesting study where I was able to gain experience interviewing strangers, which was nerve-wracking. It taught me that research that you are interested in knowing and research you want to do are two different things.
For example, I am concerned about deforestation, poverty, and climate change. But it would be very hard for me to go to those severely affected places and provide physical labor in harsh environments. My dad once told me a similar thing when I was young. Even if you are concerned about environmental pollution, whether you want to be in the front line tacking it or not is a different question to ask.
It feels like I should have learned it at a much younger age, but I'm taking a note on it so that I won't forget. There are so many problems in this world to be solved, and there are many ways to be involved in activities to solve them, not just as a form of vocation.
I hope I will be able to publish the article smoothly and soon! No more makeovers, please!!