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Social Statistics

Events in Social Statistics

Proton beam - the changing radiotherapy landscape and maximising our research impact: A cross-faculty networking event

09:30 - 16:30 18 December 2019

Proton beam - the changing radiotherapy landscape and maximising our research impact: A cross-faculty networking event 9.30am-4.30pm event on Wednesday 18 December 2019 Dalton Room at Core Technology Facility, Manchester M13 9WU (Oxford Rd campus) The Manchester Cancer Research Centre (MCRC) and the FBMH Cancer Research Domain are organising..

CMI Seminar: Bayesian Methods for Population Forecasting

15:00 - 16:15 16 January 2020

The Cathie Marsh Institute welcomes Jon Forster from The University of Warwick who will be speaking on the topic: Bayesian Methods for Population Forecasting Abstract forthcoming. Tea/coffee and cakes from 2.45. ALL WELCOME! No registration needed.

methods@manchester workshop - Ethical Thinking and Decision-Making in Practice

09:30 - 17:00 21 January 2020

This course is designed to raise your ethical awareness and enable you to think and act more ethically as you carry out research. It includes a short introductory presentation to set research ethics in context, discussions of rights and responsibilities at each stage of the research process, plus videos and exercises to embed ethical thinking..

Introduction to Survival Analysis with STATA

23 January 2020

Outline This course aims to introduce participants to the theory and concept of survival analysis and provides strategies to decide for which research questions this method has benefits over alternative approaches. The course will further cover the preparation of datasets, discuss some common pitfalls and train the participants in interpretati..

CMI Seminar: Populism and Digital Media: A Cross Country Study Combining Surveys and Web Tracking

15:00 - 16:15 06 February 2020

The Cathie Marsh Institute welcomes Sebastian Stier from GESIS who will be speaking on the topic: Populism and Digital Media: A Cross Country Study Combining Surveys and Web Tracking Abstract forthcoming. Tea/coffee and cakes from 2.45. ALL WELCOME! No registration needed.

Introduction to Cluster Analysis

07 February 2020

Outline The course covers basic ideas and concepts in cluster analysis including hierarchical and non-hierarchical clustering methods and their application. Throughout the day, participants will have guided practicals in R using ecological data from the UK Census of population on how to choose and transform variables for cluster analysis, how..

Multiple Linear Regression

11 February 2020

Outline This course provides a thorough grounding in the theory and methods of multiple linear regression including model selection, nonlinear relationships, and transformations, dummy variables, interaction terms and assumption testing. The course comprises taught and practical components in about equal proportions, using the STATA software...

Logistic Regression

12 February 2020

Outline This course examines the fitting of models to predict a binary response variable from a mixture of binary and interval explanatory variables, using STATA software. The approach is illustrated using examples from a social science perspective, including cases where logistic regression models are used as a means of analysing tabular data..

CMI Seminar: Data Privacy Concerns as a Source of Resistance to Participate in Surveys Using Smart Phone Data

15:00 - 16:15 13 February 2020

The Cathie Marsh Institute welcomes Caroline Roberts from The University of Lausanne who will be speaking on the topic: Data Privacy Concerns as a Source of Resistance to Participate in Surveys Using Smart Phone Data Abstract forthcoming. Tea/coffee and cakes from 2.45. ALL WELCOME! No registration needed.

Introduction to Longitudinal Data Analysis

19 February 2020

Outline The course covers basic concepts in longitudinal design and analysis. The morning session focuses on the strengths and methodological difficulties of the longitudinal approach such as defining longitudinal populations and target samples; levels and dimensions of change; age, period and cohort effects. There will be one small group dis..

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