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Introduction to Medical Statistics

Оценок: 529 | Просмотров: 90484
Bare Essentials of Research for Students A great introduction to statistics before students embark on a research project!
Категория: Образование
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Текстовые комментарии (31)
DR FATH MRCOG (1 день назад)
https://youtu.be/tvivOczRcM0
Mazhar Soufi (28 дней назад)
ur stupid u couldnt make us understand the stupid chi square terrible
Anjali Kulkarni (2 месяца назад)
Very well presented and explained in simple terms
M G Uthaman Vanathi (8 месяцев назад)
I am statistics student sir .Which area in biostatistics is suitable for ph.d research.
M G Uthaman Vanathi (8 месяцев назад)
You are amazing . Sir I need ur help .
rujuta hantodkar (1 год назад)
excellent expression, sir !
Mauli Shankar (1 год назад)
Very, very useful. Keep watching this video at intervals. Very well narrated and addresses key statistical points.
Kibet Koech (1 год назад)
very crucial lecture
rajkumar g (1 год назад)
suprb sir to the point the very essense of statistics
h ak (1 год назад)
no more ??!! :/
h ak (1 год назад)
im in love with u ,
KL VG (2 года назад)
awesome
mrsanchaz2003 (2 года назад)
a very good presentation
Kaicee Alexander (2 года назад)
excellent presentations
Jonathan kalua - Malawi (2 года назад)
Beautiful, comprehensive
doczak69 (2 года назад)
Hi thank you ....just one Q, what would be the p value if null hypothesis is true? because you are saying when P value is 0.005/0.006/0.001 -in all three cases null hypothesis is rejected, so when would we accept NH and then what would be the p value. Thank you
Aranghan Lingham (2 года назад)
if the null hypothesis was true, p would equal 1, meaning the is a 100% likelihood that the differences observed are due to random chance. Traditionally in the medical sciences, if there is a greater than 5% probability that the differences observed are due to random chance (p>0.05) we accept the null hypothesis.
vicachcoup (3 года назад)
Very good
salivastorm (3 года назад)
OMG ! this is a great video, i was really having a hard time just getting through the basic terminologies and their meaning. you are a life saver. thanks again.
nadiminty ganapathi sastry (4 года назад)
Well presented .Thank  you
Galvin Dhaliwal (4 года назад)
hey amazing lecture but there's one ques in both t test n chi squared test we are just calculating the p value itself so what's so special about them that they have a different name?
Galvin Dhaliwal (4 года назад)
alright thank u!:)
Aranghan Lingham (4 года назад)
Thanks! You are correct in that both tests calculate a p-value. The T-test compares the means between two groups (the mean being a calculated value from an interval data set), whereas the chi-squared compares two groups based on frequencies of an ordinal data set. If you would like some more information regarding ordinal vs interval, please view 3:19 in the video.
AngryRed Dot (4 года назад)
This was extremely helpfull, a very good overview of the subject. Thanks!
zaneb al (4 года назад)
How do you work out the standard deviations ? Your just stating them but how do you work then out ?
manerwal1 (4 года назад)
nice and quick review
Muralidhar A (4 года назад)
very good lecture. 
silvershadowbd (4 года назад)
brief and clear and further simplified with examples. excellent!! God bless you!
mobin khan (5 лет назад)
excellent, i listened to it twice
Aranghan Lingham (5 лет назад)
thanks all!
incontinencedoc (5 лет назад)
Nice summary, thank you kindly!
shady hegazy (5 лет назад)
very helpful, simple and concised

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