Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The course covers basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Studio are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering taken from the scratch of installing and using R and R-Studio.
The trainer discusses basic statistical analysis through a series of biological examples using R and R-Studio as computational tools. The course is ideal for practitioners handling biological data and other health scientists. The step-by-step application of statistical methods explained in this course allow trainees, who are interested in statistics and its application in biology, to form a firm foundation in handling projects that involve computational biology.
Day 1
Basics
i). Introduction to Biostatistics
ii). Data analysis steps
iii).
Kinds of biological variables
iv). Probability
v). Hypothesis testing
vi). Confounding variables
Day 2
Tests for nominal variables
i). Exact test of goodness-of-fit
ii). Power analysis
iii).
Chi-square test of
goodness-of-fit
iv). G–test of goodness-of-fit
v). Chi-square test of independence
vi). G–test of independence
vii).
Fisher's exact test
viii).
Cochran–Mantel– Haenszel test
Day 3
Descriptive statistics
i).
Central tendency
ii).
Dispersion
iii).
Standard error
iv).
Confidence limits
Tests for one measurement variable
i).
One-sample t–test
ii).
Two-sample t–test
iii).
Data transformations
Day 4
Tests for one measurement variable Cont…
i).
One-way anova
ii).
Kruskal–Wallis test
iii).
Nested anova
iv).
Two-way anova
v).
Paired t–test
vi).
Wilcoxon signed-rank test
Day 5
Tests for multiple measurement variables
i).
Linear regression and
correlation
ii).
Spearman rank correlation
iii).
Polynomial regression
iv).
Analysis of covariance
v).
Multiple regression
vi).
Simple logistic regression
vii).
Multiple logistic regression
The 5 day course
costs 600$ (60,000 KES), Exclusive of a 16% V.A.T, The Cost includes all
training fees, materials, lunch and refreshments as well as certificates and 6
month post training support.
Event
Details
|
Event Date
|
12-02-2018 8:30 am
|
|
Event End Date
|
16-02-2018 4:00 pm
|
|
Cut off date
|
02-02-2018
|
|
Individual Price
|
600$ Per Delegate
|
|
Location
|
OpenCastLabs Training Facilities, Nairobi Kenya
|
How
to register:
To register, send an email to: outreach@opencastlabs-africa.com You can
also visit our website on www.opencastlabs-africa.com
and fill an online application form
and submit to us.
Contact Details:
The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100 , Nairobi, Kenya
Tel: +254 0204409651 Mobile: +254 723870644
Email : outreach@opencastlabs-africa.com
Language
Participants
should be reasonably proficient in English.
Fee Exceptions
All international participants will cater for their, travel expenses,
visa application, insurance,
accommodation and other
personal expenses.
Accommodation
Accommodation
is arranged upon request. For reservations contact us below.
Payment:
Payment should be transferred through
bank 5 days
before commencement of training.
Cancellation policy
- All requests for cancellations must be received in writing.
- Changes will become effective on the date of written confirmation being received.
- The appropriate cancellation charge will apply
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