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Statistical analysis with Stata
TBA Contents Course Description Timberlake Consultants Ltd, the UK distributor of Stata, invite you to attend a three-day course in Central London, reviewing statistical methods and using Stata to analyse the course datasets. Stata is the well known statistics and econometrics software package developed by Stata Corporation (USA). The Course - Starting to use Stata is relatively simple, but because of its size, and the wealth of information in the guide and manuals, the question of what comes next can be quite daunting. This course provides a introduction to statistical methods and Stata is used to analyse the course datasets. This is one of a set of three courses: Who should attend - The course, given in English, is aimed at Stata users or prospective users The Principal Lecturers - The course has been developed and is taught by three principal lecturers: Michael Hills - Michael is one of the first users of Stata in the UK while working at the London School of Hygiene and Tropical Medicine. Although Michael is now retired, he continues active doing training (in many countries) in the use of Stata and developing Stata programmes, many of which have been integrated in Stata. Michael Hills and Bianca De Stavola are the authors of the book "A short introduction to Stata for Biostatistics" Cost - The cost of the course is:
The cost includes course materials, luncheon and refreshments and the use of computers. The number of delegates is restricted. Please register early to guarantee your place. Further instructions will be sent with the joining instructions. If you need assistance in locating hotel accommodation in the area, request the help of our Training Department. 1.Variables Response and explanatory variables; declaring the type of response; producing tables; a second explanatory variable; odds; case-control studies; survival data and rates; count data and rates. 2.Making comparisons Comparing means; comparing proportions and odds; case-control studies; comparing rates; controlling for confounding variables; effect modification; effects and metric variables; metric exposure variables; controlling the effect of a metric exposure; metric modifying and control variables; metric versus grouped; 3.Regression commands A metric response; generating indicator variables; predicting the response after regress; a binary response; predicting the response after logistic; testing hypotheses; case-control studies; survival data and rates. 4.Multivariable analysis Several explanatory variables; effect modification and interactions; control variables; metric modifying variables; 5.Survival data and stset The response in survival data; summarizing survival time; calculating rates and rate ratios; variables created by stset; rates that vary with time; cox regression; late entry; two time-scales. 6.Data management for repeated measurements wide and long coding; graphing repeated measures; working at the group level; collapsing the data; reshaping from long to wide and vice versa; use of system variables with by; merging files with long coding. 7.Writing Stata programs Starting with a do file; making the do file into an ado file; cutting out unwanted output; making the program accept arguments; allowing if, in, and options; discarding previous versions of a program. 8.How Stata is organized Paths and programs; updating Stata; the Stata Journal; user-contributed programs; the Statalist.Five.tex Registration closes 5 calendar days prior to the start of the course. Cancellations:
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