Stats Camp London: Statistics Training Seminars London


Stats Camp seminars are highly relevant to current trends and practices in modern advanced statistical analysis. Get practical “hands on” instruction that delivers practical value for researchers, institutions and corporations. Bring your own data and receive personal one-on-one training. Join us October 19 - 21, 2018 from 9am - 5pm daily.


LONDON STATS CAMP: World-class instructors teach you statistics in an engaging, affordable, and understandable short course seminar. LEARN MORE

Join us for Stats Camp in London, England.

Stats Camp Venue: Hilton London Paddington

2018 Registration Open to All: Student, Faculty & Professional

Statistics Training Seminars

3 Days October 19 - 21, 2018
Friday – Sunday from 9am – 5pm

Intro to Bayesian Statistics – Rethinking Statistics

- Instructor, Rens Van De Schoot, Ph.D.

The use of Bayesian estimation has increased over the years because this estimation framework can handle some commonly encountered problems in orthodox statistics.

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Introduction to Meta-Analysis (Using R Software)

- Instructor, Tasha Beretvas, Ph.D.

An introductory three-day seminar introducing quantitative meta-analysis using R software. This seminar is designed to help students master the statistical techniques used to conduct quantitative meta-analyses.

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Introduction to Stata for the Behavioral Sciences

- Instructor, Chuck Huber, Ph.D.

This is an introductory three-day seminar which includes data management, ANOVA, regression analysis, multilevel/longitudinal modeling, structural equation modeling, and basic Bayesian statistics using Stata.

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Longitudinal Structural Equation Modeling (SEM)

- Instructors, Todd D. Little, Ph.D. & Elizabeth Grandfield, Ph.D. Candidate

An advanced intensive short seminar in the analysis of longitudinal data using SEM. The seminar will be a series of lectures and computer workshops to provide participants with advanced training in the use of SEM for the analysis of longitudinal data.

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Missing Data Analysis

- Instructor, Kyle Lang, Ph.D.

Missing data are a ubiquitous problem in scientific research, and properly treating missing data is a crucial pre-requisite for valid statistical modeling and inference.

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PLS Path Modeling using ADANCO and SmartPLS

- Instructor, Joerg Hensler, Ph.D.

An intermediate 3-day seminar introducing partial least squares path modeling (PLS) using ADANCO and SmartPLS. This seminar covers the newest developments such as consistent PLS and goodness-of-fit tests.

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Stats Camp Seminars Will Provide A Mixture Of Theoretical Information And Computer Applications.
Seminar Participants Receive:
-Materials & Downloads Included
- Statistics Software Access
World Class Statistics Training
- Streaming Video of Your Course 

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 Published date:

August 28, 2018

 Modified date:

August 28, 2018





 City area:

Paddington Station Central London





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