Peter Watson

Name:	Peter Watson
Affiliation:	MRC-CBU
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Wed Nov 13 10:50:39 +0000 2024

Public lists managed by Peter Watson

• Cambridge Statistics Discussion Group (CSDG)

Talks given by Peter Watson

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Latent variable models: factor analysis and all that
• Power analysis
• Post-hoc tests, multiple comparisons, contrasts and handling interactions
• Repeated Measures and Mixed Model ANOVA
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• Categorical Data Analysis
• The General Linear Model and complex designs including Analysis of Covariance
• Exploratory Data Analysis
• Latent variable models: factor analysis and all that
• Power analysis
• Post-hoc tests, multiple comparisons, contrasts and handling interactions
• Repeated Measures and Mixed Model ANOVA
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• Categorical Data Analysis
• The General Linear Model and complex designs including Analysis of Covariance
• Simple and multiple linear regression
• Exploratory Data Analysis
• Exploratory Data Analysis
• Latent variable models: factor analysis and all that
• Latent variable models: factor analysis and all that
• Power analysis
• Post-hoc tests, multiple comparisons, contrasts and handling interactions
• Post-hoc tests, multiple comparisons, contrasts and handling interactions
• Repeated Measures and Mixed Model ANOVA
• Repeated Measures and Mixed Model ANOVA
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• Categorical Data Analysis
• The General Linear Model and complex designs including analysis of covariance
• On reading Bernoulli’s Ars conjectandi 1713
• Latent variable models: factor analysis and all that
• Power analysis
• Post-hoc tests, multiple comparisons, contrasts and handling interactions
• Repeated Measures and Mixed Model ANOVA
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• Categorical Data Analysis
• The General Linear Model and complex designs including Analysis of Covariance
• Exploratory Data Analysis
• Latent variable models: factor analysis and all that
• Power analysis
• Post-hoc tests, multiple comparisons, contrasts and handling interactions
• Repeated measures and mixed model ANOVA
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• Categorical data analysis
• The General Linear Model and complex designs including analysis of covariance
• Simple and multiple linear regression
• Exploratory Data Analysis
• Exploratory Data Analysis
• Latent variable models: factor analysis and all that
• Post-hoc tests, multiple comparisons, contrasts and handling interactions
• Repeated Measures and Mixed Model ANOVA
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• Categorical Data Analysis
• Simple and multiple linear regression
• Exploratory Data Analysis
• Latent variable models: factor analysis and all that
• Power analysis
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• Simple and multiple linear regression
• Exploratory Data Analysis

Talks organised by Peter Watson

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Peter Watson actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• 100 years of educational trials – no significant difference?
• Benefits of data openness in a digital world
• All models are wrong and yours are useless: making clinical prediction models impactful for patients
• Predicting recurrence of prostate cancer: a Bayesian approach
• Alan Turing and the Enigma Machine
• Title to be confirmed
• Cancer: misfortune or carelessness?
• Time: The next frontier in causal machine learning
• What has genomics ever done for us? A 20-year history of the human genome
• Wildlife from space: detecting, monitoring and studying wildlife using satellite imagery
• Quantifying personal exposure to air pollution with sensor technologies and digital science
• Statistics and Data Analytics in the Film Industry
• Title to be confirmed
• Statistics and Data Analytics in the Film Industry
• Title to be confirmed
• Invoicing and Pricing-to-market: Evidence from UK Exports/Imports Transactions
• The impact of uncertainty on trade agreements between the UK and EU
• How feasible is DNA as a long-term digital storage system?
• Invoicing and Pricing-to-market: Evidence from UK Exports/Imports Transactions
• Clueless Voting
• The Algorithm is Going to Get You: Should We Fear the Rise of Artificial Intelligence in Criminal Justice?
• A Bayesian model‐free approach to combination therapy phase I trials using censored time‐to‐toxicity data
• Solving the Reproducibility Crisis
• From Fingertips to RAP: getting statistics into public health policy and practice
• Mapping Health: Why, How, Considering what ...
• Bayesian and structural integration of background evidence in the design, analysis and interpretation of clinical trial data
• Why is cancer survival lower in England than in other high income countries?
• Statistical Methods in Pre- and Clinical Drug Development: Tumour Growth-Inhibition Model Example
• Solving the Reproducibility Crisis
• Cambridge Statistics from Venn to Fisher and Beyond
• The frequency of ‘America’ in America
• Probabilistic machine learning: foundations and frontiers
• Innovative statistical approaches for studies in anti-infective drug combination development
• Mapping regulatory variation in human cells
• A lab of one’s own: science & suffrage in the First World War
• What can gambling machine data tell us about betting behaviour?
• Use of historical information to supplement a future study: opportunity and difficulty
• Driving the Robustness of Preclinical Research within the Pharmaceutical Industry
• Risk prediction for primary prevention of cardiovascular diseases
• Genome-wide association studies: in search of common and low frequency variants in complex traits
• Measuring Ethnicity in the NHS
• My Fisher: Memories of R.A. Fisher by his last student
• Variation in measures and markers of timeliness of diagnosis in cancer
• Fundamental Fallacies of Finance
• The cost of saving nature: how much and is it a price worth paying
• Blyth abandoned: sound science or flawed policy?
• Statistics and Examinations
• On reading Bernoulli’s Ars conjectandi 1713
• Reflections on a career as a professional statistician and the increasing value of the role of professional bodies
• Adaptive dose-finding designs to identify multiple doses that achieve multiple response targets
• Counting the Emperor
• Working with Epidemiologists
• High-dimensional variable selection
• The UK10K Cohorts Project: Rare variant analysis by whole genome sequencing in 3,621 samples
• Design of multi-arm multi-stage trials
• Simulating environmental systems: the benefits of being discrete
• Latent variable models: factor analysis and all that
• Power analysis
• ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
• Simple and multiple linear regression
• Exploratory Data Analysis