Do you feel regression analysis is complex?
For hands-on learning in regression analysis, from model specification to interpretation and reporting results, we can help you in the following ways:
Conceptualization:
Regression models are widely used in the social and pure sciences for analysis, inference, predictions, and decision-making purposes.
We start our lessons with concepts of causality, correlation, regression, bivariate and multivariate partial correlations, linear versus non-linear regression models, and how to specify functional and mathematical forms of regression.
In addition to that, we explain the principles of model specification, and how to avoid specification biases.
Diversity of regression models for time series, survey, and panel data :
Single equation and simultaneous regression models are extensively been used in social sciences, depending upon the number of research hypotheses, and endogenous variables in the model.
Similarly, for the time series, survey, and panel data, there are specialized models that closely approximate the structure of the data with stated research hypotheses.
We give high priority to determining the most suitable and closely related regression type, based upon the nature of the research hypothesis, and the nature of the data in use.
Regression models for count, binary, ordinal, and categorical data:
In addition to typical models of quantitative response variables, there are advanced models that are being preferred for the estimation of count data, dummy dependent variables, ordinal choice variables, and nominal or categorical data.
The model consolidation process:
From the initial specification of regression models to the consolidation, it requires critical assessment to evaluate the consistency of the signs of regression coefficients and the significance or insignificance of potential regressors.
Emphasis on interpreting regression results:
Once regression models are finalized, the forthcoming task is to rationalize and interpret regression coefficients, odds ratios, and hazard ratios, measure and test model utility, and interpret estimates of specification tests.
Domains of application:
A wide range of subjects in the pure sciences, social sciences, and humanities.
Supplementing digitalization resources:
Presently, we use Stata, Minitab, Statgraphics, and SPSS for applied regression modeling.
To further facilitate digitized learning in online tutoring, graphical/ digital tablets, the Microsoft Whiteboard, and screen sharing options are used, so that any of the discussion points may quickly be addressed and registered in form of lecture notes.
About the ‘Regression Analysis’ faculty
Faculty in Statistics and Econometrics has a long-standing interest and expertise in teaching Econometrics courses for over 19 years, at Bachelor’s and Master’s level.
Reviews and recommendations
Joanna
Superb!
I reached out to him because I needed help with topics in Statistics, regression modeling, and the application of Stata in Sociology.
Even after the first class, I gained a much better understanding of quantitative reasoning. He is a tutor with amazing pedagogical skills and can explain complex things in a simple way, so you will understand everything. He is also a very calm and knowledgeable person.
He tailored our lessons to my needs and helped me a lot in improving my skills. I highly recommend him to anyone who is looking for professional help with the quantitative methods course.
Irina
Superb! Really helpful and knowledgeable supervisor. I needed help to understand certain concepts such as Survival analysis, Cox regression, Logistic regression, and statistical inference in the context of medical research.
In addition to that, we had a series of discussions in form of the evaluation and critical review of Journal articles on diagnostic accuracy; a systematic review of the literature; the meta-analysis; and therapy outcomes. It was a great experience.
I highly recommend him to anyone who wants to get a deeper knowledge of research.
Wahaj
Very satisfied. Professionally strong person with long experience. Explains the syllabus in an easy and understandable way and has a good structure. Highly recommended.
Sigurdis
While working on my master thesis in sports physiotherapy, I got invaluable help from him in applied regression modeling, using SPSS. In choosing suitable regression models, validating, and evaluating models he was of great help and showed excellent pedagogic skills in making complex things simple. He was engaged, motivating and always made me feel that my understanding of the topic was his first priority. Very grateful for his help.
Now, during my MBA studies, it was my first priority to seek help from him again when I needed help with quantitative analysis and decision making, regression modeling, and how to report the findings. He showed outstanding commitment to his work, always structured in his teachings, and made sure that I understood both what was on the surface and beneath.
Professional and is highly recommended!
Michael
While preparing for my master’s dissertation, I was looking for someone who can help me with ARIMA and SARIMA modeling. He has excellent command and strong foresight in furnishing research designs, in assessing the academic worth of methodological choices, and how to advance a rather naive research notion into a well-structured hypothesis, and the model specification.
Cathrine
A resourceful, competent, and skilled tutor. He translated the complexity of regression modeling into terms that are easy to understand. Much appreciated.
Edmar
Superb experience of learning, as I grasped lots of thoughtful know-how from your guidance! It really helped me understand the difficult stages of my research proposal and concepts of quantitative methods, such as Logistics and Poisson regression models. The way you explain things is clear, direct, and self-explanatory. I really like your style of guidance as it makes me comfortable especially at difficult stages of my thesis.
Dr. Haider
As a teacher and researcher, I found him very hardworking, efficient, diligent, resourceful, and full of energy. He has earned his respect among his teachers, peers, colleagues, students, friends, and family due to his cooperative behavior, thought-provoking arguments, resilience to embrace tough situations, good judgment, and decision making. He always digs deep into the concepts and makes them comprehensible to his students.
He is a good listener and an extraordinary speaker. He has researched and supervised very diverse topics which shows his untiring work and commitment to his students and institution. His analytical and quantitative skills are at par excellent. He has the great ability to motivate and inspire students and fellow researchers.
Mark
To anyone struggling with Applied Regression modeling, I would highly recommend him, as he explains things clearly and prepared the lessons carefully.
Kari
The Profess faculty has excellent command over quantitative research methodologies, and a commendable ability to evaluate and engage with technical matters such as statistical methods and econometrics. A dedicated professional!
Kristoffer
Professionally sound, has good pedagogic abilities, and is a knowledgeable person! He helped me a lot with the theory of econometrics and in the application of econometrics in empirical finance. A resourceful person!
Kyla
The inspirational and supportive tutor goes the extra mile using examples and illustrations, to ensure I understood difficult and complex topics. Articulate personality and precision in interpersonal communication. I am glad to have learned from him.