Items where Subject is "5.2 Statistical Theory and Methods of Inference"

Group by: Creators | Item Type
Jump to: B | C | D | F | G | H | J | K | L | M | N | P | R | S | T | V | Z
Number of items at this level: 88.

B

Bijak, Jakub (2021) Agent Based Modelling for Social Research- Introduction. [Video]

Browne, William (2021) Cross Classified Models Part 1: Introduction. [Video]

Browne, William (2021) Cross Classified Models Part 3: Extensions and Further Applications. [Video]

Browne, William (2021) Cross Classified Models Part 4: Practical. [Video]

Bijak, Jakub and Nurse, Sarah (2021) Understanding social data: An example of migration. [Video]

Brewer, Mike (2014) Inference with difference-in-differences revisited. In: Towards a common language in statistical methodology: examples from current applications, 23 April 2014, London. (Unpublished)

Bianca, De Stavola (2013) The Cox model: introduction and history. In: 40+ years of the Cox model, 8 Marcgh 2013, London School of Hygiene & Tropical Medicine. (Unpublished)

Bianca, De Stavola and Rhian, Daniel (2012) What is the di�erence between association and causation? And why should we bother being formal about it? In: NCRM Research Methods Festival, 05 July 2012, University of Oxford, England. (Unpublished)

Browne, William and Goldstein, Harvey (2008) Modelling non-independent residuals in multilevel models. In: NCRM Research Methods Festival 2008. (Unpublished)

C

Connelly, Roxanne (2021) Introduction to Complex Samples. [Video]

Cartwright, Nancy (2018) Casual inference: evidencing the single case | Professor Nancy Cartwright. [Video] (Unpublished)

Cartwright, Nancy and nancy.cartwright@durham.ac.uk, nancy.cartwright@durham.ac.uk and nancy.cartwright@durham.ac.uk, nancy.cartwright@durham.ac.uk and nancy.cartwright@durham.ac.uk, nancy.cartwright@durham.ac.uk (2018) Causal inference: Evidencing the single case. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Unpublished)

Costa Dias, Monica (2014) The synthetic control method compared to difference in differences: discussion. In: Towards a common language in statistical methodology: examples from current applications in economics and health research, 23 April 2014, London. (Unpublished)

Crossley, Thomas (2014) Inference with difference-in-differences revisited. In: Evidence-based Economics, 25 March 2014, University of Munich. (Unpublished)

Clarke, P (2013) Stressed nurses and g-computation: problem solved? In: International Centre for Lifecourse Studies in Society and Health meeting, 1/10/13, University College London, London. (Unpublished)

Clarke, P S and Palmer, T M and Windmeijer, F (2013) Estimating structural mean models with multiple instrumental variables using the generalised method of moments. n/a, n/a (n/a). ISSN n/a (Submitted)

Carpenter, James (2010) Multilevel multiple imputation allowing for survey weights. In: NCRM Research Methods Festival 2010, 5th - 8th July 2010, St. Catherine's College, Oxford. (Unpublished)

Castle, Jennifer L. (2008) Forecasting using Economic Systems in Uncertain Environments. In: NCRM Research Methods Festival 2008. (Unpublished)

Carpenter, James (2008) Multilevel models with multivariate mixed response types. In: NCRM Research Methods Festival 2008. (In Press)

D

De Stavola, Bianca and Daniel, Rhian (2015) Mediation analysis for life course epidemiology. In: CLOSER Seminar Series, 26 March 2015, Institute of Education. (Unpublished)

De Stavola, Bianca and Daniel, Rhian and Ploubidis, George and Micali, Nadia (2014) Mediation Analysis With Intermediate Confounding: Structural Equation Modeling Viewed Through the Causal Inference Lens. American Journal of Epidemiology, 181 (1). pp. 64-80. ISSN 1476-6256

Daniel, Rhian and De Stavola, Bianca and Cousens, SN and Vansteelandt, S (2014) Causal mediation analysis with multiple mediators. Biometrics, 1 (1). pp. 1-14. ISSN Biometrics

DeStavola, Bianca and Daniel, Rhian (2014) Mediation and life course epidemiology: challenges and examples. In: Methods for Longitudinal Data Analysis in the Social Sciences, 8 September 2014, London School of Ecomomics. (Unpublished)

Draca, Mirco (2014) What are Fixed Effects? [Video] (Unpublished)

De Stavola, Bianca and Daniel, Rhian (2014) Current Methods in Mediation Analysis. In: IEU Symposium on Statistical Methods for Epigenetic Change, 6 June 2014, Bristol. (Unpublished)

De Stavola, Bianca (2014) Introduction to mediation analysis. In: Introduction to mediation analysis at Imperial College, 15 May 2014, Imperial College. (Unpublished)

De Stavola, Bianca (2014) Social disadvantage and infant mortality: the birth weight paradox revisited. In: UK Causal Inference Meeting, 28-29 April 2014, University of Cambridge. (Unpublished)

Dudbridge, Frank (2012) What is Mendelian Randomisation. In: NCRM Research Methods Festival 2012, 2nd - 5th July 2012, St. Catherine's College, Oxford. (Unpublished)

Del Bono, Emilia and Francesconi, Marco and Best, Nicky (2011) Health information and health outcomes: An application of the Regression Discontinuity design to the 1995 UK contraceptive pill scare case. Technical Report. ISER. (Unpublished)

Dearden, L (2008) ADMIN: Administrative data: methods, inference and network. N/A. (Unpublished)

F

Feddag, M and Bacci, S (2009) Pairwise Likelihood for the Longitudinal Mixed Rasch Model. Computational Statistics and Data Analysis, 53 (4). pp. 1027-1749. ISSN 0167-9473

Feddag, Mohand (2006) Statistical inference for the mixed Bradley-Terry model. NCRM Working Paper. ESRC National Centre for Research Methods. (Unpublished)

G

Gayle, Vernon (2020) The Data Analysis Workflow. [Video]

Gelman, Andrew (2016) Crimes against data. [Video] (Unpublished)

Grundy, Emily and Read, Sanna (2015) Pathways from fertility history to later life health: Results from analyses of the English Longitudinal Study of Ageing. Demographic Research, 32 (4). pp. 107-146. ISSN 14359871

Goldstein, Harvey (2014) Methods for dealing with linkage error. [Video] (Unpublished)

Goldstein, Harvey (2014) Efficient modelling of record linked data. In: NCRM Research Methods Festival 2014, 8th - 10th July 2014, St. Catherine's College, Oxford.

Goldstein, Harvey (2014) How to handle missing data values. In: NCRM Research Methods Festival 2014, 8th - 10th July 2014, St. Catherine's College, Oxford.

H

Hilton, Jason and Bijak, Jakub (2021) Statistical analysis of agent-based models. [Video]

Haining, Robert (2010) Living near to burglars. In: NCRM Research Methods Festival 2010, 5th - 8th July 2010, St. Catherine's College, Oxford. (Submitted)

J

Jiang, Jie and Pozza, Riccardo and Gunnarsdottir, Kristrun and Gilbert, Nigel and Moessner, Klaus (2017) Using Sensors to Study Home Activities. Journal of Sensor and Actuator Networks, 6 (4). ISSN 2224-2708

Jiang, Jie and Pozza, Riccardo and Gunnarsdottir, Kristrun and Gilbert, Nigel and Moessner, Klaus (2017) Recognising Activities at Home: Digital and Human Sensors. In: International Conference on Future Networks and Distributed Systems, 19-20 July 2017, Cambridge, UK.

Jackson, Christopher (2008) Combining population and survey data. In: NCRM Research Methods Festival 2008. (Unpublished)

Jackson, Christopher and Richardson, Sylvia and Best, Nicky (2008) Studying place effects on health by synthesising individual and area-level outcomes. Social Science and Medicine, 67. pp. 1995-2006.

K

Katz, Gabriel (2021) Advanced Bayesian Methods: Assessing Convergence. [Video]

Katz, Gabriel (2021) Advanced Bayesian Methods: Gibbs Sampling. [Video]

Katz, Gabriel (2021) Advanced Bayesian Methods: Introduction. [Video]

Katz, Gabriel (2021) Advanced Bayesian Methods: Metropolis Hastings. [Video]

Katz, Gabriel (2021) Advanced Bayesian Methods: Speeding up Bayesian computations. [Video]

Katz, Gabriel (2021) Advanced Bayesian Methods: The Basics of Bayesian Computation. [Video]

Kenward, Mike (2015) Exploring the Impact of Missing Data in Multiple Regression. NCRM Working Paper. Pathways. (Unpublished)

Knight, Genevieve and White, Michael (2014) On the job training and accounting for endogeneity using BHPS longitudinal data. In: NCRM Research Methods Festival 2014, 8th - 10th July 2014, St. Catherine's College, Oxford. (Unpublished)

Kaimi, Irene (2010) Analysing the spatio-temporal distribution of crimes in Lancashire. In: NCRM Research Methods Festival 2010, 5th - 8th July 2010, St. Catherine's College, Oxford. (Submitted)

L

Leckie, George (2021) Cross Classified Models Part 2: Model fitting. [Video]

Lovelace, Robin (2014) Introducing spatial microsimulation with R: a practical. NCRM Working Paper. University of Leeds. (Submitted)

Lunn, D and Best, Nicky and Spiegelhalter, D and Graham, G and Neuenschwander, B (2009) Combining MCMC with 'sequencial' PKPD modeling. Journal of Pharmacokinetics and Pharmacodynamics.

lunn, dave and kirkbride, james (2008) Automatic variable selection in hierarchical models: application to durations of untreated psychoses. In: NCRM Research Methods Festival 2008. (Unpublished)

M

Miller, Sarah (2013) Pathways Newsletter 2. Pathways, Pathways website.

Mason, Alexina (2011) Why missing data should not be ignored and Bayesian methods are good. In: Seminar to the Neonatal Research Team, Chelsea and Westminster Hospital, April 8 2011, Chelsea and Westminster Hospital. (Unpublished)

MacInnes, John (2009) ESRC Undergraduate Quantitative Methods Initiative list of resources for teachers. ESRC. (Unpublished)

Molitor, Nuoo-Ting (2008) Bayesian graphical models for combining mismatched administrative and survey data: application to lo. In: NCRM Research Methods Festival 2008. (In Press)

Molitor, John (2008) What are Bayesian Methods. In: NCRM Research Methods Festival 2008. (Unpublished)

N

Nicoletti, Cheti and Best, Nicky (2011) Quantile regression with aggregated data. Technical Report. ISER. (Submitted)

P

Ploubidis, George and De Stavola, Bianca (2014) Methodological challenges in life course studies. In: Centre for Health Equity Studies (CHESS), 9 JUNE 2014, University of Stockholm. (Unpublished)

Pickles, Andrew and Roberts, Chris and Farnell, Damian (2012) Cross measure calibration methods and how they can enhance our analytical potential. In: NCRM Research Methods Festival 2012, 2nd - 5th July 2012, St. Catherine's College, Oxford.

R

Read, Sanna and Grundy, Emily (2014) Allostatic Load and Health in the Older Population of England: A Crossed-Lagged Analysis. Psychosomatic Medicine, 76 (7). pp. 477-575. ISSN 0033-3174/14/7607Y0490

Rosen, Adam (2013) Inference in Ordered Response Games with Complete Information. In: Recent Contributions to Inference in Game Theoretic Models, 7 and 8 June 2013, London. (Unpublished)

Richard, Silverwood (2013) Causal Methods at LSHTM. In: CTU-MSD Methodology Workshop, 29 January 2013, London School of Hygiene & Tropical Medicine. (Unpublished)

Rhian, Daniel and Bianca, De Stavola and David, Leon (2013) Causal mediation analysis with multiple causally-ordered mediators. In: Symposium on Causal Mediation Analysis, 28–29 January 2013, Ghent, Belgium. (Unpublished)

S

Steele, Fiona (2013) NCRM podcast: Relationship between employment transitions and mental health among British men. [Audio]

Solis-Trapala, Ivonne L. (2010) What is the statistical analysis of discrete outcomes in longitudinal studies. In: NCRM Research Methods Festival 2010, 5th - 8th July 2010, St. Catherine's College, Oxford. (Unpublished)

T

Tzavidis, Nikos and Luna-Hernandez, Angela and Zhang, Li-Chun and Schmid, Timo (2016) From Start to Finish: A framework for the production of small area official statistics. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath. (Submitted)

Thomas, Michael and Stillwell, John and Gould, Myles (2013) Modelling residential mobility behaviour using a commercial data set: An analysis of mover/stayer characteristics across the life-course. NCRM Working Paper. NCRM. (Unpublished)

V

Väisänen, Heini (2021) Binary logistic regression: Interactions (video 3 of 3). [Video]

Väisänen, Heini (2021) Binary logistic regression: Multivariate binary logistic regression (vid 2 of 3). [Video]

Väisänen, Heini (2021) Binary logistic regression: introduction (video 1 of 3). [Video]

Väisänen, Heini (2021) Multinomial logistic regression, Part 2: Multiple multinomial regression. [Video]

Väisänen, Heini (2021) Multinominal logistic regression, Part 1: Introduction. [Video]

Väisänen, Heini (2021) Ordinal regression Part 1: Introduction. [Video]

Väisänen, Heini (2021) Ordinal regression Part 2: Multiple ordinal regression. [Video]

Väisänen, Heini (2021) Ordinal regression Part 3: Proportional odds assumption. [Video]

Varin, C and Reid, N and Firth, D (2011) An overview of composite likliehood methods. Statistica Sinica, 21 (2011). pp. 5-42. ISSN ISSN: 1017-0405

Z

Zhirnov, Andrei (2021) Bayes rule. [Video]

Zhirnov, Andrei (2021) Bayes rule continued. [Video]

Zhirnov, Andrei (2021) Computations in R. [Video]

Zhirnov, Andrei (2021) DGP and Likelihood. [Video]

Zhirnov, Andrei (2021) Bayesian Data Analysis: Introduction. [Video]

Zhirnov, Andrei (2021) Bayesian analysis in a nutshell. [Video]

This list was generated on Tue Dec 3 19:09:39 2024 GMT.