Staburo Academy – Biostatistics and Data Science Trainings

Staburo is specialized in Biostatistics, Statistical Programming and Data Science. We cover a wide range of statistical services and develop tailor-made client solutions.

We love to share our statistical expertise and therefore we offer specific training programs. Our coaches are statisticians with a broad practical knowledge and teaching experience. The trainings can range from basic to very state-of-the-art statistical topics. All courses will be tailored to the specific interests of the audience, however our portfolio of existing courses can help to find the right combination of topics.

Clinical Statistics Staburo

Introduction to Statistics course – 2 days

About the online course

The ability to understand and perform quantitative research is an essential skill in many fields. At the heart of quantitative research is statistical analysis, the ability to draw conclusion about a population based on a sample. This course will provide a solid foundation in statistics through practical application and with mathematical details kept to a minimum.

After this course you should be confident in understanding and performing quantitative analyses of numeric data. You will be able to incorporate quantitative analysis into high quality reports and output which enable decision making. This would include the ability to draw conclusions from data based on accurate statistical analysis.

Topics

  • Descriptive Statistics: How to summarize data
  • Exploration of Data
  • Graphics and Presentation of Data
  • Assessing Significant Differences Between Groups
  • Investigation of Associations and Correlations
  • Basic Trend Analysis

Target Audience

This course is designed for anyone wishing to understand basic statistical techniques thoroughly, e.g. : Clinical Research Associates, Project Managers, Team Managers, Principal Investigators, Medical Professionals, CMC Managers, Regulatory Affairs Managers.

 

General information

  • The online course will be from 9:30 to 16:30 each day including breaks
  • The detailed agenda will be sent out a few days before the start of the course
  • The course will be held in English
  • The fee includes the course slides and solutions of the exercises
  • A certificate of participation will be delivered at the end of the course

Fees

  • The cost for this 2-day online course is 1100€ (applicable VAT will be added) for professionals from industry and academia

Proposed agenda

 

Day 1: Variable Relationships, Visualizations & EDA

  • Summarizing data
  • Describing Multiple Variable Relationships
  • Exploratory Data Analysis

Day 2: Probabilities, T-Tests, Correlations, Regression

  • Probability and Inferential Statistics
  • Comparing Categorical Variables
  • T-Tests & Bivariate Plots and Correlations
  • Introduction to Regression

 

Next Introduction to Statistics course

02-03 November 2021

Apply now below (if link below doesn’t work send course name, your name, job role/university enrollment certificate and if applicable invoice address to academy@staburo.de)!

 

Statistical Programming with CDISC Staburo

 

Introduction to R course – 2 days

About the online course

With over 2 million users worldwide R is one of the most popular open source programming languages in statistics and data sciences. As a preferred tool for complex data analyses it is applied in every industry. This R programming course will give an introduction to the basics of R. In the two-day course you will learn how to program in R, how to perform data analysis in R and how to visualize your results graphically.

 

Topics

Introduction to R

  • Installation of R and R Studio (graphical user interface for R)
  • Loading of packages
  • Basic syntax in R
  • Variable types and data structures, functions, operators
  • Finding help to R functions
  • Import and export of data
  • Creating and editing R objects
  • Working with data sets

Data analysis in R

  • Basic descriptive statistics
  • Linear regression
  • ANOVA
  • Hypothesis testing

Data visualization in R

  • Creating and customizing basic plots
  • Usage of high and low level plot functions
  • Export of plots

Practice in R

  • All topics will be provided with exercises in R
  • The course will finish with a small project where the participants can apply all their gained knowledge about R

Target audience

The course is mainly addressed (but not restricted) to professionals who are interested in data science (e.g. Statisticians, SAS Programmers, Data Managers) and who want to learn the very basics of R. Further, this introduction is helpful for participants who wish to brush up on their knowledge in R.

Requirements

For this course prior knowledge in basic statistics or programming is helpful but not required.

General information

  • The online course will be from 9:30 to 16:30 each day including breaks
  • The detailed agenda will be sent out a few days before the start of the course
  • Once you are registered a detailed explanation on how to install R and R Studio will be provided
  • The course will be held in English
  • The fee includes the course slides and solutions of the exercises
  • A certificate of participation will be delivered at the end of the course

Fees

  • The cost for this 2-day course is 1100€ (applicable VAT will be added) for professionals from industry and academia

Proposed agenda

 

Day 1

  • Installation of R and R Studio (graphical user interface for R)
  • Introduction to the software
  • Loading of packages
  • Basic syntax in R
  • Variable types and data structures, functions, operators
  • Finding help to R functions
  • Import and export of data
  • Creating and editing R objects
  • Working with data sets
  • Basic descriptive statistics

 

Day 2

  • Linear regression
  • ANOVA
  • Hypothesis testing
  • Creating and customizing basic plots
  • Usage of high and low level plot functions
  • Export of plots
  • Small project in R applying the knowledge gained in the last two days

Next Introduction to R course

27-28 January 2022

Apply now below (if link below doesn’t work send course name, your name, job role/university enrollment certificate and if applicable invoice address to academy@staburo.de)!

 

Translational Medicine & Biomarkers Staburo

Advanced statistical methods course – 2 days

About the online course

This course is designed as a follow-up on our “Introduction to Statistics”-course. It gives you an overview on even more complex and advanced statistical methods, that are mainly used in the medical field.

By hearing this course, you will get an insight into a variety of advanced statistical methods ranging from generalized regression models like multivariable regression, logistic regression or mixed models to survival analysis and meta-analysis. In addition, these methods will be illustrated by real data applications in R.

 

Topics

Advanced / Generalized regression models

  • Multivariable (linear) regression
  • ANOVA
  • Logistic regression
  • Poisson regression
  • Mixed models / GEEs

Survival analysis

  • Survival data structure
  • Kaplan-Meier estimator
  • Log-rank test
  • Cox proportional hazards model

Meta-analysis

  • Idea / concept
  • Statistical methods / forest plots
  • Challenges and possible solutions
  • Network meta-analysis

Target audience

This course is designed for advanced members having basic knowledge of statistics and programming skills in R.

General information

  • The first day will be from 9:30 to 16:30 and the second day from 8:30 to 16:00
  • The detailed agenda will be sent out a few days before the start of the course
  • The course will be held in English
  • The fee includes the course slides and solutions of the exercises
  • A certificate of participation will be delivered at the end of the course

Fees

  • The cost for this 2-day online course is 1100€ (applicable VAT will be added) for professionals from industry and academia

Proposed agenda

 

Day 1:

  • Multivariable (linear) regression
  • ANOVA
  • Logistic regression
  • Poisson regression
  • Mixed models / GEEs

 

Day 2:

  • Survival analysis
  • Meta-analysis

Next Advanced statistical methods course

07-08 April 2022

Apply now below (if link below doesn’t work send course name, your name, job role/university enrollment certificate and if applicable invoice address to academy@staburo.de)!

 

Translational Medicine & Biomarkers Staburo

 

Machine learning and high-dimensional methods course – 2 days

About the online course

In the digital era where the collection of data is permanently increasing and phrases like “data mining” and “big data” are omnipresent, knowing how to turn the data into useful information is an essential skill. Therefore, basic knowledge of the most state-of-the-art machine learning techniques is an important instrument, not only for the ability to perform the appropriate statistical analyses in various settings, but also for a better understanding and interpreting of study results.

With this course you will get an insight into a variety of statistical methods for high-dimensional data ranging from parametric methods like PCA and LASSO to non-parametric machine learning methods like Random Forests, Boosting, SVMs and Neural Networks. In addition, these methods will be illustrated by real data applications in R.

 

Topics

  • Introduction to high dimensionality and machine learning
  • LASSO
  • Principal component analysis
  • Support vector machines
  • K-means
  • Decision Trees / Random Forests
  • Boosting
  • Neural Networks / AI

Target audience

This course is designed for advanced members having basic knowledge of statistics and programming skills in R.

General information

  • The first day will be from 9:30 to 16:30 and the second day from 8:30 to 16:00
  • The detailed agenda will be sent out a few days before the start of the course
  • The course will be held in English
  • The fee includes the course slides and solutions of the exercises
  • A certificate of participation will be delivered at the end of the course

Fees

  • The cost for this 2-day online course is 1100€ (applicable VAT will be added) for professionals from industry and academia

Proposed agenda

 

Day 1:

  • Introduction to high dimensionality and machine learning
  • LASSO
  • Principal component analysis
  • Support vector machines

 

Day 2:

  • K-means
  • Decision Trees / Random Forests
  • Boosting
  • Neural Networks / AI

Next Machine learning and high-dimensional methods course

07-08 June 2022

Apply now below (if link below doesn’t work send course name, your name, job role/university enrollment certificate and if applicable invoice address to academy@staburo.de)!

 

Translational Medicine & Biomarkers Staburo
Translational Medicine & Biomarkers Staburo

Estimands workshop – 2 days

About the online course

The gold standard for evaluating medical interventions is a randomised clinical trial with statistical analysis based on the intention-to-treat population. However, even if a randomised clinical trial is well planned, post-randomisation events occur and affect or even challenge the interpretation and validity of the study results.

In November 2019, ICH published an addendum to the ICH E9 guideline to address such problems by the so called “Estimand Framework”. This framework aims to ensure an alignment of trial objectives, study design, data collection, and choice of statistical analysis methods – at the stage of protocol writing.

The interactive workshop is designed for all stakeholders of a clinical study and will include many active training elements (50:50 ratio of theory vs. training)!! You will be trained on all topics of the estimand framework. We will present and discuss examples from various study phases and different medical indications. After this hands-on training you will be confident in developing and writing estimands for study protocols.

 

Topics

  • Scope of ICH E9 (R1), the new clinical development framework
  • Concept of “Intercurrent events” and strategies to address them
  • Constructing an estimand (estimand attributes, interaction of all study stakeholders)
  • Impact on trial design, conduct, and data collection
  • Impact on trial analysis (missing data, sensitivity analysis)
  • Incorporating estimands in the study protocol
  • Experience from discussions with regulators

Target audience

This course is designed for all study team members of a clinical trial: medical experts, clinical trial manager, study coordinators, investigators, regulatory affairs managers, biostatisticians, data managers, statistical programmers, disclosure und posting managers.

General information

  • Both days will be from 9:30 to 16:30 local Munich time
  • The detailed agenda will be sent out a few days before the start of the workshop
  • The course will be held in English
  • The fee includes the workshop slides and solutions for the exercises
  • A certificate of participation will be delivered at the end of the workshop

Fees

  • The cost for this 2-day online course is 1100€ (applicable VAT will be added) for professionals from industry and academia
  • Staburo also offers tailor-made follow-up trainings in smaller groups focused on your company’s needs

Proposed agenda

Day 1:

  • Scope of ICH E9 (R1)
  • New clinical development framework
  • Concept of “Intercurrent events” and strategies to address them
  • Practical session I: identify intercurrent events of interest
  • Constructing an estimand (estimand attributes, interaction of all study stakeholders)
  • Practical session II: development of an estimand
  • Impact on trial design, conduct, and data collection

 

Day 2:

  • Impact on trial analysis (missing data, sensitivity analysis)
  • Incorporating estimands in the study protocol
  • Practical session III: writing estimands in protocols
  • Experience from discussions with regulators
  • Discussion

Instructors

Dr. Hannes Buchner

Hannes studied Statistics and received his PhD at LMU Munich. Hannes co-founded and currently works as Managing Director and Head of Biostatistics at Staburo GmbH in Munich, Germany.

Hannes uses his expertise to support clients in all aspects of Statistics, especially in the planning and conduct of clinical trials, with a strong focus on Oncology, but also Data Transparency, Translational Medicine and Biomarkers.

Hannes takes part in regular reunions and is an active member of work groups of Statistics societies, e.g. Estimands working group, which is sponsored by PSI and EFSPI and ASA scientific working group of the ASA biopharmaceutical section; and the International Biometric Society.

 

Dr. Gabriele Bleckert

Gabriele is a trained Mathematician, did her PhD in Mathematics at Univ. of Bremen and LMU Munich, studied Biostatistics at Univ. of Heidelberg, and is currently working as Senior Biostatistician at Staburo GmbH in Munich, Germany. Gabriele’s areas of expertise are time-to-event analyses (competing risk, non-proportional hazards) for different medical indications.

 

Next Estimands workshop

No date set yet

If you are interested in our Estimands workshop, please contact us at academy@staburo.de!

 

Translational Medicine & Biomarkers Staburo
Translational Medicine & Biomarkers Staburo
Translational Medicine & Biomarkers Staburo

For questions about the Estimands workshop