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
