Karl Pearson
founded the journal "Biometrika" 110 years ago, and laid the
foundation for today's classical biostatistics (chi-square test, hypothesis
testing, correlation, more). His political views, even for the times,
were unsavory (a proponent of eugenics, he advocated "war against the
inferior races"), but his statistical contributions remain embedded in the
technical and pedagogical literature. Statistics.com offers a two-course
online sequence in Biostatistics, starting with Biostatistics 1 and
Biostatistics 2. Each course is 4 weeks long, and taught by Prof. Abhaya
Indrayan, co-author of "Medical Biostatistics." For more details
please visit at Biostatistics 1.
"Biostatistics 1" covers sensitivity-specificity and predictive values of medical tests, confidence intervals, medical vs. statistical significance, and chi-square, Student's t and ANOVA F-tests, including multiple comparisons.
Who
Should Take This Course:
This non-mathematical course is specially
designed for medical and health professionals who deal with medical data and
want to acquire some statistical skills. These include nursing, pharmacy,
laboratory technology and nutrition professionals beside physicians, surgeons
and dentists.
Course Program:
Course outline: The course
is structured as follows
SESSION 1: Probability in Health and Medicine
- Medical uncertainties and
probability
- Elementary laws of
probability
- Bayes' Rule
- Sensitivity-specificity of a
medical test
- Positive and negative
predictive value
- Effect of prevalence
SESSION 2: Confidence Intervals
- Sampling distributions and
SEs
- Large sample CI for
one-sample mean and proportion
- Exact CI for proportion and
median
- Large sample CI for
differences between means and proportions
- Sample size for estimation
SESSION 3: Statistical vs. Medical Significance
- P-value and level of
significance
- The concept of statistical
power
- Medical vs. statistical
significance
- Sample size for significance
and power analysis
- Chi-square test for simple
situations
SESSION 4: Some Statistical Tests for Quantitative Data
- Student's t-test for
one-sample and two-sample situations
- ANOVA for one-way and
two-way tables
- Tukey test and Bonferroni
procedures for multiple comparisons
- Test for medically
significant gain and equivalence test
Dr. Abhaya
Indrayan, in addition to authoring "Medical Biostatistics," (2nd ed.,
CRC Press), has also written a book on medical research methods. He is
Chair of the Department of Biostatistics and Medical Informatics at the College
of Medical Sciences, University of Delhi, and frequently provides
biostatistical Consultation to the World Health Organization, the World Bank
and UNAIDS.
You will be able to ask questions
and exchange comments with the instructors via a private discussion board
throughout the course. The courses take place online at
statistics.com in a series of 4 weekly lessons and assignments, and require about
15 hours/week. Participate at your own convenience; there are no set
times when you must be online. You have the flexibility to work a bit every
day, if that is your preference, or concentrate your work in just a couple of
days.
For Indian participants statistics.com
accepts registration for its courses at special prices in Indian Rupees through
its partner, the Center for eLearning and Training (C-eLT), Pune.
Call: 020 66009116
Websites:
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