Fixed effects analysis of repeated measures data
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Rothman, 2008, Modern Epidemiology, 3rd edn
Terry, 1964, Smoking and Health: Report of the Advisory Committee to the Surgeon General of the United States
Bath, 2005, Association between hormone replacement therapy and subsequent stroke: a meta-analysis, BMJ, 330, 342, 10.1136/bmj.38331.655347.8F
Prentice, 2005, Combined Postmenopausal Hormone Therapy and Cardiovascular Disease: Toward Resolving the Discrepancy between Observational Studies and the Women's Health Initiative Clinical Trial, Am J Epidemiol, 162, 404, 10.1093/aje/kwi223
Harper, 2012, Commentary: Social Epidemiology: Questionable Answers and Answerable Questions, Epidemiology, 23, 795, 10.1097/EDE.0b013e31826d078d
Imlach Gunasekara, 2008, Glossary for econometrics and epidemiology, JEpidemiol Community Health, 62, 858, 10.1136/jech.2008.077461
Benson, 2000, A comparison of observational studies and randomized, controlled trials, N Engl J Med, 342, 1878, 10.1056/NEJM200006223422506
Vandenbroucke, 2007, Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration, PLoS Med, 4, e297, 10.1371/journal.pmed.0040297
Kaufman, 2003, Causal inference from randomized trials in social epidemiology, Soc Sci Med, 57, 2397, 10.1016/S0277-9536(03)00135-7
Moffit, 2005, Remarks on the analysis of causal relationships in population research, Demography, 42, 91, 10.1353/dem.2005.0006
Glymour, 2006, Natural experiments and instrumental variable analyses in social epidemiology, Methods in Social Epidemiology
Allison, 2005, Fixed Effects Regression Analysis for Longitudinal Data Using SAS
Wagner, 2007, The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements. SOEPpapers on Multidisciplinary Panel Data Research at DIW Berlin
Wooldridge, 2002, Econometric Analysis of Cross Section and Panel Data
Kaufman, 2008, Commentary: Why are we biased against bias?, Int J Epidemiol, 37, 624, 10.1093/ije/dyn035
Ludbrook, 2004, Do interventions to increase income improve the health of the poor in developed economies and are such policies cost effective?, Appl Health Econ Health Policy, 3, 115, 10.2165/00148365-200403020-00008
Pinheiro, 2009, Mixed-effects Models in S and S-PLUS
Gardiner, 2009, Fixed effects, random effects and GEE: What are the differences?, Stat Med, 28, 221, 10.1002/sim.3478
Verbeek, 2008, A Guide to Modern Econometrics, 3rd edn
Mukherjee, 2008, Fitting stratified proportional odds models by amalgamating conditional likelihoods, Stat Med, 27, 4950, 10.1002/sim.3325
Allison, 2008, Logistic Regression Using SAS
Lancaster, 2000, The incidental parameter problem since 1948, J Econometrics, 95, 391, 10.1016/S0304-4076(99)00044-5
Greene, 2012, Econometric Analysis
Diez Roux, 2000, Multilevel analysis in public health research, Annu Rev Public Health, 21, 171, 10.1146/annurev.publhealth.21.1.171
Merlo, 2005, A brief conceptual tutorial on multilevel analysis in social epidemiology: interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health, J Epidemiol Community Health, 59, 1022, 10.1136/jech.2004.028035
Blakely, 2006, Multilevel studies, Methods in Social Epidemiology
Heagerty, 2001, Misspecified maximum likelihood estimates and generalised linear mixed models, Biometrika, 88, 973, 10.1093/biomet/88.4.973
Trivedi, 2005, Linear panel models: basics, Microeconomics: Methods and Applications
Hausman, 1981, Panel data and unobservable individual effects, Econometrica, 49, 1377, 10.2307/1911406
Baltagi, 2005, Econometric Analysis of Panel Data, 3rd edn
Allison, Causal inference with panel data
Robins, 2009, Estimation of the causal effects of time-varying exposures, Longitudinal Data Analysis
VanderWeele, 2012, Invited commentary: structural equation models and epidemiologic analysis, Am J Epidemiol, 176, 608, 10.1093/aje/kws213
Greenland, 2009, Identifiability, exchangeability and confounding revisited, Epidemiol Perspect Innov, 6, 4, 10.1186/1742-5573-6-4
Pearl, 2003, Statistics and Causal Inference: A Review, Sociedad de Estad'ıstica e Investigaci'on Operativa, 12, 101
VanderWeele, 2011, Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments and confounders, Epidemiology, 22, 42, 10.1097/EDE.0b013e3181f74493
Moerbeek, 2003, A comparison between traditional methods and multilevel regression for the analysis of multicenter intervention studies, J Clin Epidemiol, 56, 341, 10.1016/S0895-4356(03)00007-6
Press, 2007, Numerical Recipes: The Art of Scientific Computing, 3rd edn