I-Advanced Biostatistics
( 25 Amamojula )

module #1
Isingeniso se-Advanced Biostatistics
Uhlolojikelele lwesifundo, ukubaluleka kwe-biostatistics ekunakekelweni kwezempilo, nokubuyekezwa kwemiqondo yezibalo eziyisisekelo

module #2
Advanced Hypothesis Testing
Ukubuyekezwa kokuhlolwa kwe-hypothesis, uhlobo I kanye namaphutha ohlobo II, kanye isingeniso sokulungiswa kokuhlola okuningi

module #3
Ukuhlolwa Okungewona Okwepharamitha
Isingeniso sokuhlolwa okungeyona ingxenye yepharamitha, isivivinyo se-Wilcoxon rank-sum, kanye nokuhlolwa kwe-Kruskal-Wallis

module #4
Izindlela Zokusampula
Isethulo sezindlela zokuphinda zenziwe kabusha, i-bootstrap, nokuhlolwa kwe-permutation

module #5
Ukuhlehla komugqa
Ukubuyekezwa kokuhlehla komugqa okulula nokuningi, ukuhlaziya okuyinsalela, nokuxilongwa kwemodeli

module #6
Amamodeli Omugqa Ojwayelekile
Isingeniso kumamodeli ajwayelekile ajwayelekile, ukuhlehla kwezinto, kanye Poisson regression

module #7
Ukuhlaziywa Kokusinda
Isingeniso sokuhlaziya ukusinda, isilinganisi se-Kaplan-Meier, kanye nemodeli yezingozi ezilinganayo ze-Cox

module #8
Idatha Yesikhathi Somcimbi
Ukuhlaziywa kwedatha yesikhathi ukuya komcimbi, censoring, and truncation

module #9
Longitudinal Data Analysis
Isingeniso sokuhlaziywa kwedatha ye-longitudinal, amamodeli wemiphumela exubile, nezilinganiso zokulinganisa ezijwayelekile

module #10
Idatha Engajwayelekile
Ukuhlaziywa kwedatha engajwayelekile, ukuguqulwa, nezindlela eziqinile

module #11
Idatha Ehlobene
Ukuhlaziywa kwedatha ehlotshaniswayo, idatha ehlanganisiwe, namamodeli axubile alayini ajwayelekile

module #12
Idatha Elahlekile
Isethulo kudatha engekho, izinhlobo zokushoda, nokulandelwa okuningi

module #13
I-Meta-Analysis
Isethulo sokuhlaziywa kwe-meta, amamodeli wemiphumela engaguquki nengahleliwe, neziqephu zehlathi

module #14
Idatha Enkulu-Dimensional
Isethulo kudatha enobukhulu obuphezulu, ukukhetha kwesici, namasu okunciphisa ubukhulu

module #15
Ukufunda Komshini ku-Biostatistics
Isingeniso sokufunda ngomshini, ukufunda okugadiwe nokungagadiwe, nokuhlola imodeli

module #16
I-Genomics and Proteomics
Isingeniso ku-genomics ne-proteomics, ukuhlaziywa kwe-microarray, nokuhlaziywa kwe-RNA-seq

module #17
I-Epidemiology and Biostatistics
Isingeniso ku-epidemiology, imiklamo yocwaningo, nezilinganiso zokuvama kwesifo

module #18
Isivivinyo Semitholampilo
Isingeniso esivivinyweni somtholampilo, izigaba zokuhlolwa komtholampilo, nokubalwa kosayizi wesampula

module #19
I-Ethics in Biostatistics
Ukucatshangelwa kokuziphatha ku-biostatistics, imvume enolwazi, nobumfihlo bedatha

module #20
Amathuluzi eComputational ku-Biostatistics
Isingeniso samathuluzi e-computational in biostatistics, R, Python, ne-SAS

module #21
Idatha Ukubona ngeso lengqondo ku-Biostatistics
Isingeniso sokubonwa kwedatha, ukuhlaziya idatha yokuhlola, kanye nemikhuba emihle yokubona

module #22
I-Statistical Computing
Isingeniso sekhompuyutha yezibalo, ukulingisa, nezindlela ze-Monte Carlo

module #23
Idatha Enkulu ku-Biostatistics
Isingeniso sedatha enkulu, ukugcinwa kwedatha, kanye nekhompyutha esabalalisiwe

module #24
Case Studies in Biostatistics
Izifundo ze-Real-world ku-biostatistics, izicelo, kanye nokucabanga okubucayi

module #25
Ukugoqwa Kwezifundo & Isiphetho
Ukuhlela izinyathelo ezilandelayo ku-Advanced Biostatistics career

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I-Advanced Biostatistics ( 25 Amamojula )

Umsizi Wokufunda UlimiNgosekelo Lwezwi

I-Advanced Biostatistics
( 25 Amamojula )

Umsizi Wokufunda Ulimi
Ngosekelo Lwezwi