77 Ennimi
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Enkola y’okutendekebwa
10 Modules / ~100 empapula
Enkola y’Omugezi
~25 Modules / ~400 empapula
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Tonda omukolo .

Ebibalo by’ebiramu eby’omulembe
( 25 Modules )

module #1
Okwanjula mu bibalo eby’omulembe
Okulaba omusomo, obukulu bw’ebibalo by’ebiramu mu by’obulamu, n’okuddamu okwetegereza ensonga enkulu ez’ebibalo
module #2
Okugezesa endowooza ey’omulembe
Okuddamu okwetegereza okugezesa endowooza, ensobi ez’ekika kya I n’ekika kya II, ne okwanjula okutereeza okugezesa okungi
module #3
Okugezesebwa okutali kwa parametric
Okwanjula mu kugezesebwa okutali kwa parametric, Wilcoxon rank-sum test, ne Kruskal-Wallis test
module #4
Enkola z'okuddamu okutwala sampuli
Okwanjula enkola z'okuddamu okutwala sampuli, bootstrap, n’okugezesebwa kw’okukyusakyusa
module #5
Linear Regression
Okuddamu okwetegereza okudda emabega okw’ennyiriri okwangu n’okungi, okwekenneenya okusigadde, n’okuzuula ebifaananyi
module #6
Generalized Linear Models
Okwanjula mu bikolwa eby’ennyiriri ebya bulijjo, okudda emabega okw’enteekateeka, ne Poisson regression
module #7
Okwekenenya okuwangaala
Okwanjula mu kwekenneenya okuwangaala, Kaplan-Meier estimator, ne Cox proportional hazards model
module #8
Time-to-Event Data
Okwekenenya data y’obudde okutuuka ku bibaddewo, censoring, and truncation
module #9
Longitudinal Data Analysis
Okwanjula mu kwekenneenya data mu buwanvu, ebikozesebwa ebitabuddwamu, n’ennyingo z’okubalirira mu ngeri ey’enjawulo
module #10
Non-Normal Data
Okwekenenya data etali ya bulijjo, enkyukakyuka, n’enkola ennywevu
module #11
Data ekwatagana
Okwekenenya data ezikwatagana, data ezikuŋŋaanyiziddwa, n’ebikozesebwa ebitabuddwa mu layini eya bulijjo
module #12
Missing Data
Okwanjula ku data ezibula, ebika by’okubula, n’okubalirira emirundi mingi
module #13
Meta-Analysis
Okwanjula mu meta-analysis, fixed ne random effects models, ne forest plots
module #14
High-Dimensional Data
Okwanjula mu data ey’ebitundu ebya waggulu, okulonda ebifaananyi, n’obukodyo bw’okukendeeza ku bipimo
module #15
Okuyiga kw’ebyuma mu Biostatistics
Okwanjula okuyiga kw’ebyuma, okuyiga okulabirirwa n’okutalabirirwa, n’okwekenneenya model
module #16
Genomics and Proteomics
Okwanjula mu genomics ne proteomics, okwekenneenya microarray, n’okwekenneenya RNA-seq
module #17
Epidemiology and Biostatistics
Okwanjula mu by’obulwadde, enteekateeka z’okunoonyereza, n’ebipimo by’emirundi gy’endwadde
module #18
Clinical Trials
Okwanjula mu kugezesebwa mu malwaliro, emitendera gy’okugezesebwa mu malwaliro, n’okubalirira obunene bwa sampuli
module #19
Empisa mu Biostatistics
Okulowooza ku mpisa mu biostatistics, okukkiriza okutegeerekese, n’okwekuuma data
module #20
Ebikozesebwa mu kubala mu Biostatistics
Okwanjula ebikozesebwa mu kubala mu biostatistics, R, Python, ne SAS
module #21
Data Okulaba mu Biostatistics
Okwanjula mu kulaba data, okwekenneenya data mu kunoonyereza, n’enkola ennungi mu kulaba
module #22
Statistical Computing
Okwanjula mu kubala ebibalo, okukoppa, n’enkola za Monte Carlo
module #23
Big Data mu Biostatistics
Okwanjula mu big data, data warehousing, ne distributed computing
module #24
Case Studies mu Biostatistics
Okunoonyereza ku mbeera entuufu mu biostatistics, okukozesa, n'okulowooza okulungi
module #25
Okuzingako Omusomo & Okumaliriza
Okuteekateeka emitendera egiddako mu mulimu gwa Advanced Biostatistics


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