Public Health Course of UC Berkeley - Spring 2012

University of California - Berkeley Public Health course 241 Spring 2012 with 40 lectures totalling a duration of 30+ hours!
Statistical Analysis of Categorical Data: Syllabus covered

Biostatistical concepts and modelling relevant to the design and analysis of multi-factor population-based cohort and case-control studies, including matching. Measures of association, causal inference, confounding interaction. Introduction to binary regression, including logistic regression.

A Supercourse in Epidemiology

Epidemiology is the cornerstone of Community Medicine where the disease distribution and its determinants in a specified population-time paradigm are studied to identify the priorities in public health. Having an understanding of various concepts of epidemiology is one thing, and ability to deliver the message across is another thing. This resourceful website helps to bridge this gap.

How to use Google Docs Collaboration for a better community health survey

Abstract 

Surveys are an indispensable tool for many during their research studies carried out at the Community Medicine Department. Depending on the sample size and the number of team members, the collection of data may be a tedious process. Online collaborative tools like Google Docs can be used to facilitate development of survey instrument, online collection and entry of data, data cleaning and analysis. A recent survey conducted by the Community Medicine Department, Osmania Medical College, Hyderabad, highlights the utility of Google Docs for collaborative research.

Ongoing Health Survey at Amberpet, Hyderabad.

Commemorating World Health Day 2012, the Community Medicine Department, Osmania Medical College, Hyderabad is conducting a mega health camp at AK Plaza Function Hall, Near Ali Cafe, Amberpet, Hyderabad on 7th April, 2012. In line with the theme of this year's WHD, Ageing and Health - Good health adds life to years, we are conducting a household survey in the adjoining under-served areas with a special emphasis to the health status of elderly from 1st to 5th April, 2012 with the participation of interns and undergraduate students.

With this current survey, we would like to enable the students to experience what collaborative research can achieve, in terms of identifying the changing demographic and morbidity patterns in our local community and compare it with the national and global trends.

Here are the links to enter the data from the two questionnaires.. in three parts in that order to be filled
Household - Baseline Survey - Part 1
Household - Baseline Survey - Part 2
Geriatric Health Assessment Tool

CHECK YOUR PROGRESS HERE   
                                                           
Report your errors here

Here are some tips to enable you to make accurate and speedy entry of your forms online.

Hope this remains an enjoyable experience to all of you. Feel free to contact us if you face any problem with regards to this exercise.

Bon Voyage !

An interactive textbook for Inferential Statistics

Ever heard of an "Interactive Textbook" ? That too for a subject so perceived by many, to be dry.
Here what the author means by INTERACTIVE is an interactive table of contents... Though the examples given are not of Medical or Bioscience background.

Inferential Statistics:

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YouTube lessons

You tube lessons useful for students of Community Medicine:

Salman Khan's lessons on statistics @ Khan's Academy are really useful for learning some of the foundations of biostatistics with understanding.

UC Berkeley channel has webcasts of Disaster management, Infectious disease epidemiology and Applied epidemiology using R (R is the latest up-to-date open source statistical package gaining popularity by the day)

IGNOU webcasts for PGDMCH course are also useful.

The Hindu : Life & Style / Youth : YouTube lessons:

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R: Sensitivity, specificity and predictive value of a diagnostic...

R: Sensitivity, specificity and predictive value of a diagnostic...: "Sensitivity, specificity and predictive value of a diagnostic test"
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Sometimes we need to evaluate the diagnostic accuracy of a new diagnostic test or score or index, in comparison to an existing gold standard. It is very simple to evaluate a diagnostic test in R (1).