About Stata Autumn School

Timberlake Consultants invite you to attend the 2015 London Stata Autumn School to be held at Cass Business School, London, the UK between 21-26 September 2015.

The Stata Autumn School comprises a series of six, 1-day courses delivered by experienced biostatisticians: Dr. Jonathan Bartlett, Dr. Ula Nur, and Dr. Bianca De Stavola, all of the London School of Hygiene and Tropical Medicine (LSHTM); and Prof. Aurelio Tobías of the Spanish Scientific Research Council. Each course will include an initial introduction to the topic followed by hands-on examples. There will be plenty of time dedicated to the interpretation of the results, discussion of assumptions, and comparison of approaches.

This is a great opportunity for students, academics, and professionals to expand their statistical skills and learn how they can apply statistics from biostatisticians at the forefront of their specialist fields.

Timberlake Consultants are the official Stata distributors to the UK, Ireland, Middle East, North Africa, Spain, Portugal, Poland, and Brazil.

COURSE 1: DEALING WITH MISSING DATA

Participants should have a working knowledge of STATA, and in particular be familiar with regression models, such as linear and logistic regression, and their interpretation. No knowledge regarding missing data techniques will be assumed.

COURSE 2: ANALYSIS OF SURVEY DATA

Knowledge of Stata is not required, but attendees are assumed to have some statistical knowledge, such as what is typically covered in an introductory statistics course. Participants should be computer literate, able to manage files, and familiar with Microsoft Windows.

COURSE 3: SURVIVAL ANALYSIS

Knowledge of Stata is not required, but attendees are assumed to have some statistical knowledge, such as what is typically covered in an introductory statistics course. Participants should be computer literate, able to manage files, and familiar with Microsoft Windows.

COURSE 4: ANALYSIS OF HIERARCHICAL DATA

Basic knowledge of Stata required and familiarity with linear regression models and the regress command in Stata.

COURSE 5: STRUCTURAL EQUATION MODELLING

Basic knowledge of Stata required and familiarity with linear regression models and the regress command in Stata.

COURSE 6: INDIRECT COMPARISONS AND NETWORK META-ANALYSIS WITH STATA

Basic knowledge of Stata, regression models, systematic reviews, and meta-analysis.

Apply or ask questions per Email