Evaluating Peterborough’s ‘no cold calling’ initiative using space-time Bayesian hierarchical modelling Guangquan Li *, Robert Haining +, Sylvia Richardson.

Slides:

Advertisements

Similar presentations

Test practice Multiplication. Multiplication 9x2.

Advertisements

Space-Time Modelling to support local policing Robert Haining Department of Geography, University of Cambridge, England. AAG; New York; Feb

A Bayesian mixture model for detecting unusual time trends Modelling burglary counts in Cambridge Guangquan (Philip) Li 4 th ESRC Research Methods Festival.

BACKGROUND Benzene is a known carcinogen. Occupational exposure to benzene is an established risk factor for leukaemia. Less is known about the effects.

CONCEPTUAL ISSUES IN CONSTRUCTING COMPOSITE INDICES Nadia Farrugia Department of Economics, University of Malta Paper prepared for the INTERNATIONAL CONFERENCE.

Tennessee Center for Performance Excellence Section 3 – Evaluating Results.

A model for spatially varying crime rates in English districts: the effects of social capital, fragmentation, deprivation and urbanicity Peter Congdon,

DAY CREWING PLUS BACKGROUND TO IMPLEMENTATION DCFO Paul Richardson LANCASHIRE FIRE & RESCUE SERVICE January 2011.

Using Growth Models for Accountability Pete Goldschmidt, Ph.D. Assistant Professor California State University Northridge Senior Researcher National Center.

Impact Evaluation: The case of Bogotá’s concession schools Felipe Barrera-Osorio World Bank 1 October 2010.

NDAU/NNAP Collaborators Meeting A National Neonatal Network Neena Modi Professor of Neonatal Medicine Imperial College London Vice President, Science &

GIS in Spatial Epidemiology: small area studies of exposure- outcome relationships Robert Haining Department of Geography University of Cambridge.

Bayesian space-time models for surveillance and policy evaluation using small area data Nicky Best Department of Epidemiology and Biostatistics Imperial.

Program Performance Reporting and Evaluation in Australia Mark Nizette Department of Finance and Administration October 2001.

Connecting Teacher Education and Pupil Learning: Evidence Emerging from the Teachers for a New Era Initiative CSU Northridge Beverly Cabello Assessment.

RACE: Time Series Compression with Rate Adaptivity and Error Bound for Sensor Networks Huamin Chen, Jian Li, and Prasant Mohapatra Presenter: Jian Li.

Reliability of Selection Measures. Reliability Defined The degree of dependability, consistency, or stability of scores on measures used in selection.

Characteristics of Psychological Tests

Importance of Health Information Systems Information explosion during 1990s  It is estimated that in the next 50 years, the amount of knowledge currently.

National JSNA Project Workshop 1 Ruth Hutchinson NHS Surrey.

Higher Education Access Tracker Helping member universities to target, monitor and evaluate outreach programmes Sharon Smith - Director of HEAT project.

Instrument Validity & Reliability. Why do we use instruments? Reliance upon our senses for empirical evidence Senses are unreliable Senses are imprecise.

Disease Prevalence Estimates for Neighbourhoods: Combining Spatial Interpolation and Spatial Factor Models Peter Congdon, Queen Mary University of London.

Lesson 8: Effectiveness Macerata, 11 December Alessandro Valenza, Director, t33 srl.

The Social Impact of the Austerity Measures on Households and Communities.

Inference from ecological models: air pollution and stroke using data from Sheffield, England. Ravi Maheswaran, Guangquan Li, Jane Law, Robert Haining,

The Value of Data The Vital Importance of Accountability American Institutes for Research February 2005.

BACKGROUND Benzene is a known carcinogen. Occupational exposure to benzene is an established risk factor for leukaemia. Less is known about the effects.

Text Characteristics Adding “Impact”. Size Text size is measured in points Which text size would you choose?

Guide to CCG Data Profiles Version Version information and PDF production date The main part of the profile uses information on CCGs’ proposed practices.

Professor Alex Hirschfield, HonMFPH Professor of Criminology and Director International Centre for Applied Criminology ICAC University of Huddersfield,

SCAM’08 -- Evaluating Key Statements AnalysisZheng Li Evaluating Key Statements Analysis David Binkley - Loyola College, USA Nicolas Gold, Mark Harman,

An introduction to SEN Data analysis The Research and Evaluation Unit.

Research Team Sport England 1 Taking forward your segmentation profile Other ways to geographically analyse the segmentation data in your area.

ITree: Exploring Time-Varying Data using Indexable Tree Yi Gu and Chaoli Wang Michigan Technological University Presented at IEEE Pacific Visualization.

Evaluating Cambridgeshire Constabulary’s “No Cold Calling” scheme: an application of spatial-temporal data modelling. Robert Haining Department of Geography,

Dr Camille B. Kandiko King’s College London

Investigating the impact of social variation on Edge Space.

2011 Census Results.

Figure 1 The spatial and temporal distribution of diarrhoea rates

Assessing multiple environmental impacts of pollutant emissions: the global picture (*see related Grantham policy note published today*) by Apostolos Voulgarakis,

Volume 386, Issue 9989, Pages (July 2015)

Cambridgeshire and Peterborough

December 2011 Measuring inequalities: Trends in mortality and life expectancy in Hywel Dda Measuring lifestyle: methods and limitations.

December 2011 Measuring inequalities: Trends in mortality and life expectancy in Abertawe Bro Morgannwg Measuring lifestyle: methods and limitations.

© University of Cambridge

December 2011 Measuring inequalities: Trends in mortality and life expectancy in Powys Measuring lifestyle: methods and limitations.

Britain counters brain-drain worries

Improving replicability in addiction research

Townsend profile of heart age tool users showing a similar distribution to that from Census data for England, suggesting good representativeness of the.

Tuberculosis in Wales Annual Report 2018 Data to the end of 2017

December 2011 Measuring inequalities: Trends in mortality and life expectancy in Cwm Taf Measuring lifestyle: methods and limitations.

December 2011 Measuring inequalities: Trends in mortality and life expectancy in Betsi Cadwaladr Measuring lifestyle: methods and limitations.

Statistical vs. Neural Machine Translation: a Comparison of MTH and DeepL at Swiss Post’s Language service Lise Volkart – Pierrette Bouillon – Sabrina.

Britain counters brain-drain worries

Similarities Differences

MATH TALK POWER NUMBER 64 Set 1.

MATH TALK POWER NUMBER 27.

Percentage of people aged 60 or over in England as the lower super output area (LSOA) level, 2004 (left) and 2015 (right)*†. *The mean percentage of people.

MATH TALK POWER NUMBER 36.

MATH TALK POWER NUMBER 25.

MATH TALK POWER NUMBER 64 Set 2.

MATH TALK POWER NUMBER 16.

DRAFT Granta Data pack January 2019.

Tuberculosis in Wales Annual Report 2017 Data to the end of 2016

Cambridge City PCN Data pack July 2019.

North Alliance Data pack August 2019.

Validity This refers to the extent to which the test measures what it claims to measure If an IQ test actually measures intelligence = valid However,

Presentation transcript:

Evaluating Peterborough’s ‘no cold calling’ initiative using space-time Bayesian hierarchical modelling Guangquan Li *, Robert Haining +, Sylvia Richardson * and Nicky Best * + University of Cambridge * Imperial College, London

2

Locations of the NCC areas in Peterborough 3

Data on “No Cold Calling” 4

Raw data: individual and aggregated temporal profiles Positive impact of policy? 5

6

IDMatching criterionNo. of LSOAs 1All LSOAs in Peterborough88 2±10% burglary rate of the NCC group in ±20% burglary rate of the NCC group in ±30% burglary rate of the NCC group in both 2004 and LSOAs containing the NCC-targeted COAs (but excluding the NCC-targeted COAs) 9 (one LSOA is outside Peterborough) 6LSOAs that had “similar” multiple deprivation scores (MDS) as those for the NCC LSOAs in Constructing the control group - areas are selected that have similar local characteristics (e.g. burglary rates; deprivation scores) to those in the NCC- targeted group. - Lower Super Output Area (LSOA) framework used to obtain reliable control trend

8

9

10

11

12

13

14

15

16

18