77 Gagana
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Faiga Aperenitisi
10 Modules / ~100 itulau
Faiga Fa'ataulāitu
~25 Modules / ~400 itulau
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Fausia se mea na tupu

Biostatistics maualuluga
( 25 Modules )

module #1
Introduction to Advanced Biostatistics
Vailiiliga o le vasega, taua o biostatistics i le soifua maloloina, ma le toe iloiloina o manatu faavae fuainumera
module #2
Advanced Hypothesis Testing
Tula'iga o su'ega hypothesis, ituaiga I ma le ituaiga II mea sese, ma fa'atomuaga i le tele o su'ega fa'asa'oga
module #3
Su'ega e le o Parametric
Fa'atomuaga i su'ega e le fa'atatau, Wilcoxon rank-sum su'ega, ma le Kruskal-Wallis su'ega
module #4
Resampling Methods
Fa'atomuaga i le resampling metotia, bootstrap, and permutation tests
module #5
Linear Regression
Review of simple and multiple linear regression, residual analysis, and model diagnostics
module #6
Generalized Linear Models
Fa'atomuaga i fa'ata'ita'iga laina fa'asalalau lautele, logistic regression, ma Poisson regression
module #7
Survival Analysis
Fa'atomuaga i le su'esu'eina o le ola, Kaplan-Meier estimator, ma le Cox proportional hazards model
module #8
Taimi-i-Event Data
Su'esu'ega o fa'amaumauga o taimi-i-mea na tutupu, censoring, and truncation
module #9
Longitudinal Data Analysis
Introduction to longitudinal data analysis, mix effects models, and generalized estimating equations
module #10
Non-Normal Data
Suʻesuʻega o faʻamaumauga e le masani ai, suiga, ma auala malosi
module #11
Fa'amaumauga Fa'amaopoopo
Su'esu'ega o fa'amaumauga tu'ufa'atasia, fa'aputugā fa'amaumauga, ma fa'ata'ita'iga fefiloi laina lautele
module #12
Fa'amatalaga Misi
Fa'atomuaga i fa'amatalaga misi, ituaiga o misi, ma le tele o fa'amatalaga
module #13
Meta-Analysis
Fa'atomuaga i fa'ata'ita'iga fa'ata, fa'ata'ita'iga tumau ma fa'alavelave fa'afuase'i, ma fanua fa'ato'aga
module #14
Fa'amatalaga Fa'amaumau-maualuga
Fa'atomuaga i fa'amaumauga maualuga, filifiliga o foliga, ma metotia fa'aitiitiga.
module #15
Machine Learning in Biostatistics
Fa'atomuaga i le a'oa'oina o masini, a'oa'oga va'ava'aia ma le le va'aia, ma iloiloga fa'ata'ita'iga
module #16
Genomics ma Proteomics
Fa'atomuaga i genomics ma proteomics, su'esu'ega microarray, ma su'esu'ega RNA-seq
module #17
Epidemiology and Biostatistics
Fa'atomuaga i le epidemiology, su'esu'ega mamanu, ma fua o fa'ama'i fa'atuputeleina
module #18
Clinical Trials
Fa'atomuaga i fa'ata'ita'iga fa'apitoa, vaega o su'esu'ega fa'apitoa, ma le fuaina o le tele o fa'ata'ita'iga
module #19
Ethics in Biostatistics
Ethical considerations in biostatistics, informed consent, and data privacy
module #20
Computational Tools in Biostatistics
Fa'atomuaga i computational tools in biostatistics, R, Python, and SAS
module #21
Data Va'aiga i Biostatistics
Fa'atomuaga i fa'amatalaga fa'amatalaga, su'esu'ega fa'amatalaga fa'amatalaga, ma fa'ata'ita'iga fa'ata'ita'iga sili ona lelei
module #22
Fa'afuainumera Fa'amaumauga
Fa'atomuaga i fa'asologa o fuainumera, fa'ata'ita'iga, ma metotia Monte Carlo
module #23
Big Data in Biostatistics
Fa'atomuaga i fa'amaumauga tetele, fa'amaumauga o fa'amaumauga, ma fa'asoa fa'asoa
module #24
Case Studies in Biostatistics
Mo'i-lalolagi mataupu su'esu'ega i biostatistics, talosaga, ma mafaufauga ogaoga
module #25
Fa'ai'uga ma Fa'ai'uga
Fuafua isi laasaga ile Advanced Biostatistics matata


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