Duration of the course - Health Services Academy

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Transcript Duration of the course - Health Services Academy

Capacity Building Workshop on Survival Analysis
Department of Epidemiology & Biostatistics
Health Services Academy, Islamabad
Preamble
Survival Analysis is a collection of methods used for the
analysis of data that involve the time to occurrence of some
event. Apart from their extensive use in studies of survival
times in clinical and health related studies, these methods
have found application in several other fields, including
industrial engineering (eg., reliability studies and analyses
of equipment failure times), demography (eg.,analyses of
time intervals between successive child births), sociology
(eg., studies of recidivism, duration of marriages), and
labor economics (eg., analysis of spells of unemployment,
duration of strikes).
In Pakistan, there is a dearth of studies which utilize
survival analysis, although, mortality data is available on
several diseases in Pakistan which can be used for such
an analysis. In addition, studies on survival can be
designed in public and private hospitals as well as in the
community to understand the different aspects related to
disease mortality and its causes.
Pre-requisites for the course
Basic statistical concepts and skills, ability to work with
statistical software
Duration of the course
The duration of the course would be 03 working days.
10 – 12 Sep, 2012
Deadlines for applications 05 Sep. 2012
Registration Fee
PKR . 1500/-
Course fee, course materials , attendance certificate
food and snacks will be provided by HSA in
collaboration with USAID.
Course Facilitator
The course is developed and will be conducted by an
international faculty Dr.Zeleke Worku Asssociate Professor
in Biostatistics from South Africa along with the department
of epidemiology and biostatistics at the Health Services
Academy (HSA) .
Goal
This workshop aims to enable the participants to
understand the concept of survival analysis and its
methods and impart them with the necessary skills to
analyze studies using survival analysis methods.
Objectives:
Dr. Zeleke Worku: BSc Hons, MSC, PhD Statistics, Phd Social
Services (Associate Professor of Biostatistics University of South
Africa)
Since 1998 he has supervised several undergraduate and
Masters-level projects in applied statistics and related areas. He
has taught various post and undergraduate courses in applied
statistics such as the design of experiments, biostatistics and
epidemiology, sampling techniques, the analysis of variance,
econometric methods, operations research, time series analysis,
probability theory and inference, multivariate techniques,
stochastic processes, statistical methods and others.
Co – Facilitators
By the end of the course, the participants should be able
to:
Understand survival analysis and its methods
Perform survival analysis on primary as well as
secondary data
Dr . Zahid Ahmed: MBBS, MSc, PhD
Target audience:
Ms. Aashifa Yaqoob: MSc, MSPH
Clinicians, academicians, social scientists, economists,
Public Health researchers and post graduate medical and
public Health students in the public and private sector .
(Senior Assistant Professor Health Services Academy- [email protected])
Dr. Rukhsana Khan: MBBS, MPH, MSC (Assistant Professor
Health Services Academy– [email protected])
(Instructor Health Services Academy- [email protected])
Mr. Mudassar Mushtaq: M-Phil
(Instructor Health Services Academy [email protected])
Course outline
The survival function
The hazard function
Calculation of survival probabilities
The Kaplan-Meier survival probability curve
Construction of life tables
Comparison of survival probability curves based on the logrank and Peto’s test The Cox proportional hazards model
Testing the assumption of proportional hazards
Assessment of goodness-of-fit
Cox regression with time varying covariates
Calculation of incidence rate ratios
For Furthur Information
Mr. Mudassar Mushtaq
Ph. 051 – 9255590 Ext: 104
Email:[email protected]
Venue Workshop Hall ,
Health Services Academy ,
Opposite NIH ,Chak Shehzad , Islamabad.