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). 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 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. Registration Fee PKR. 1500/- 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). Dr. Zeleke Worku: BSc Hons, MSC, Ph. D Statistics, Phd Social 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: Course fee, course materials , attendance certificate food and snacks will be provided by HSA in collaboration with USAID. Course Facilitator 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: v. Understand survival analysis and its methods v. Perform survival analysis on primary as well as secondary data Dr. Zahid Ahmed: MBBS, MSc, Ph. D 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. 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 ratios (Senior Assistant Professor Health Services Academy- zahid@hsa. edu. pk) Dr. Rukhsana Khan: MBBS, MPH, MSC (Assistant Professor Health Services Academy– rkhan@hsa. edu. pk) (Instructor Health Services Academy- aashifa@hsa. edu. pk) Mr. Mudassar Mushtaq: M-Phil (Instructor Health Services Academy awadstat@yahoo. com) For Furthur Information v. Mr. Mudassar Mushtaq Ph. 051 – 9255590 Ext: 104 Email: jawadstat@yahoo. com Venue Workshop Hall , Health Services Academy , Opposite NIH , Chak Shehzad , Islamabad.
Скачать презентацию Capacity Building Workshop on Survival Analysis Department of
adcbb8952591342e92a479b172ee25b3.ppt