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Workshop

Workshop

Event History Analysis: Understanding the Cox Model and Semi-parametric Analysis

Event History Analysis: Understanding the Cox Model and Semi-parametric Analysis

£30.00

Description

The lecture will begin with a brief overview of event history models. This will include an outline of the differences between parametric, semi-parametric and non-parametric event history analysis. After this, the rest of the lecture will focus on Cox models. These models measure time in ‘continuous units’, and make the assumption of proportional hazards. The importance of this assumption will be explained in the lecture, alongside a review of the advantages and disadvantages of the Cox model, which has become the most popular event history model in many areas of research. As with discrete-time models, Cox models can also be extended to allow a variety of advanced applications, including models that allow for unobserved heterogeneity.

http://www.lse.ac.uk/Methodology/Methods-training

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Applied Bayesian Data Analysis for Social Science

Applied Bayesian Data Analysis for Social Science

£30.00

Description

In this workshop, you will learn the theory behind Bayesian inference, its critiques of frequentist statistics, and the application of Bayesian regression models in the R statistical language. We will begin the course by outlining frequentist logic and the Bayesian critique of its assumptions and applications and then move to introduce the concepts of Bayesian inference and estimating probability in a Bayesian framework. The practical work will then involve using the R statistical language to estimate, interpret, and visualise Bayesian regression models and their outputs. While the course will involve theoretical topics and have statistical components, it will be aimed at social scientists and the kinds of applications and interactions that they as researchers will have with Bayesian data analysis.

https://www.lse.ac.uk/Methodology/Methods-training

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Understanding Research Integrity

Understanding Research Integrity

£30.00

Description

This workshop will introduce the fundamental concepts, practices and policies relating to Research Integrity, an essential component of the professional training of academics.
We will overview the history of research and initiatives on research integrity, look at current evidence about the prevalence of research misconduct and questionable research practices, and discuss uncertainties and controversies surrounding the definition and measurements of these concepts.
We will learn what official guidelines, policies and resources are available internationally and locally, and we will reflect on concrete actions and practices that can help us prevent or correct problems and maintain high standards of integrity in our research.
The workshop includes small group activities, and you are welcome to bring up for discussion any integrity conundrums you are facing in your research.

https://www.lse.ac.uk/Methodology/Methods-training

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Event History Analysis: Introduction and Models for Discrete Survival Times Session One

Event History Analysis: Introduction and Models for Discrete Survival Times Session One

£30.00

Description

The lecture will begin with an overview of event history models, as used in many social science disciplines. The lecture will show how these models can be used to analyse the ‘duration until an event occurs’ (sometimes referred to as ‘survival time’). It will explain how event history models allow researchers to estimate the probability (or risk) of an event occurring, even when data are ‘censored’ (e.g. when there is missing data due to attrition or study drop-out). The rest of the lecture will focus on discrete-time event history models. These models measure time in ‘discrete units’ such as months or years, which is typically the same unit of time that is used when event data are collected. Discrete-time models have many other advantages, including the fact that they can easily incorporate time-varying covariates.They can also be extended to allow a variety of advanced applications, including the analysis of repeated events, or models that allow for unobserved heterogeneity. All of these terms will be explained in the lecture, which will aim to provide the audience with a solid introduction to the most salient issues for applied research.

http://www.lse.ac.uk/Methodology/Methods-training

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