figshare

United Kingdom

3,395 Works

Study Design and Analysis in Epidemiology: Where does modeling fit?

Steven Bellan
An introductory lecture on study design and analysis in classical epidemiology with an explanation of how mathematical modeling complements classical epidemiology.

The SIR Model Family

Jonathan Dushoff
An introduction to the susceptible-infected-recovered compartmental model of infectious disease transmission.

Introduction to Thinking About Data I

Brian G Williams
An introductory lecture on how to identify patterns in data and use them to generate and test hypotheses.

Introduction to Thinking About Data I

Brian G Williams
An introductory lecture on how to identify patterns in data and use them to generate and test hypotheses.

Introduction to Infectious Disease Data

Juliet Pulliam & Steven Bellan
Introduction the types of infectious disease data and their collection.

Mathematical Assumptions of Simple ODE models

Juliet Pulliam
This lecture explains some of the implicit assumptions in ordinary differential equation models, as applied to infectious diseases.

Basic stochastic simulation models

Rebecca Borchering & Juliet Pulliam
An introduction to various stochastic modeling frameworks as applied to the modeling of infectious disease transmission.

Heterogeneity, Contact Patterns and Modeling Options

Jonathan Dushoff
A lecture on how heterogeneity in infectivity, susceptibility, and contact patterns affect the transmission dynamics and control of infectious diseases.

Introduction to Models and Data: HIV in Harare, Zimbabwe

John Hargrove
This lecture explores the plausibility of different causal mechanisms as explanations for the decline in HIV prevalence in Harare using mathematical transmission models.

Introduction to Statistical Philosophy

Jonathan Dushoff
This lecture presents a pragmatic statistical philosophy, including both frequentist and Bayesian ideas as well as providing careful definitions of inference, hypothesis testing, and P values.

Introduction to Likelihood

Steven Bellan
This lecture provides a clear and intuitive visual explanation of P value- and maximum likelihood-based inference and confidence interval derivation, using a simple example.

Study Design and Analysis in Epidemiology II: Randomized Controlled Trials

Travis C Porco
An introduction to RCT design with a discussion of epidemiological, statistical and ethical implications. An example trial to test mass drug administration for trachoma is discussed.

Likelihood Fitting and Dynamic Models I: Dynamic Model Fitting and Inference Robustness

Juliet Pulliam & Steven Bellan
An introduction to fitting of mechanistic transmission models to time series data using maximum likelihood estimation along with a discussion of model (or result) robustness.

Doing Science

Brian G Williams
A discussion of the scientific process told through the history of physics and and astrophysics.

Likelihood Fitting and Dynamic Models II

Jonathan Dushoff
The second introductory lecture in a series on how to fit mechanistic disease transmission models to time series data. This lecture focuses on appropriate data transformations when fitting (log, logistic), the difference between observation and process error (noise), identifiability, and how to report uncertainty in results.

Introduction to Monte Carlo Markov Chains (MCMC)

Steven Bellan
This lecture provides a step by step explanation of the purpose and process of parameter estimation using MCMC integration. The lecture contains a series of videos to break down the algorithm and also shows how tuning MCMC samplers can affect convergence. The example starts with simple one parameter estimation and then moves on to two parameter estimation with block sampling when fitting an HIV transmission model to time series data on HIV prevalence.

Data wrangling I: Data management and cleaning

Jonathan Dushoff
This lecture provides an introduction into the loading, cleaning, manipulation, and visualization of messy data, with a focus on epidemiological applications.

Modeling for Policy

Brian G Williams
A lecture on how to communicate results from infectious disease modeling to policymakers.

Model Assessment

Jonathan Dushoff
An introduction to model assessment focusing on cross-validation, goodness of fit statistics, bias, and precision.

physiology-examiner

Yuichi Takeuchi
Matlab GUI which randomly asks 3 questions and normal values on medical physiolgy.

physiology-examiner

Yuichi Takeuchi
Matlab GUI which randomly asks 3 questions and normal values on medical physiolgy.

raw data- scientific report.xlsx

KaiTi Chuang & HanTsung Liao
This file is the total raw data All positive data are recorded as 1; negative as 0All the sheets of excel are classified as all tables presented in the paper

Slum village skating

Tuan Huy
I BOUNCED From ALI'S what size skateboard should i get STORE ON MELROSE--running late and I needed to overcome to Capitol Records on Hollywood to satisfy Angel Biotek and SV. I am skating just like a mofo lower Vine, it's 90 levels and also the Moroccan hashish I smoked earlier was kicking in. The celly vibrates, it's Shelblack: "Word up, I am surfing in Waikiki and skating with Jay Adams." Dope, I high as fuck,...

Slum village skating

Tuan Huy
I BOUNCED From ALI'S what size skateboard should i get STORE ON MELROSE--running late and I needed to overcome to Capitol Records on Hollywood to satisfy Angel Biotek and SV. I am skating just like a mofo lower Vine, it's 90 levels and also the Moroccan hashish I smoked earlier was kicking in. The celly vibrates, it's Shelblack: "Word up, I am surfing in Waikiki and skating with Jay Adams." Dope, I high as fuck,...

Model Assessment

Jonathan Dushoff
An introduction to model assessment focusing on cross-validation, goodness of fit statistics, bias, and precision.

Resource Types

  • Other
    3,395

Publication Year

  • 2017
    678
  • 2016
    2,428
  • 2015
    253
  • 2014
    35
  • 2012
    1

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  • figshare Academic Research System
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