The case for heterodoxy in longitudinal analysis |
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| Affiliation: | 1. Cystic Fibrosis Therapeutics Development Network Coordinating Center, Seattle Children''s Hospital, Seattle, WA, United States of America;2. Department of Pediatrics, University of Washington, Seattle, WA, United States of America;3. Department of Biostatistics, University of Washington, Seattle, WA, United States of America;4. Department of Epidemiology, University of Washington, Seattle, WA, United States of America;5. Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America;1. Division of Medical Oncology, Ottawa General Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada;2. Department of Oncology, Tom Baker Cancer Centre, University of Calgary, 1331 29 ST NW, Calgary, AB T2N 4N2, Canada;3. Canadian Cancer Trials Group, Queen''s University, 10 Stuart Street, Kingston, ON K7L 3N6, Canada;1. Division of Epidemiology & Biostatistics (M/C 923), School of Public Health, University of Illinois at Chicago, 1603 West Taylor Street, Room 984, Chicago, 60612-4336, IL;2. Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, V6S0G6, Canada;3. Arthritis Research Canada, Richmond, BC, V6X 2C7, Canada;4. AbbVie Inc., Chicago, 60612, IL;5. Department of Statistical Science, Southern Methodist University, Dallas, 75275-0332, TX;6. Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, 75390-9066, TX;7. Department of Public Health Sciences, The University of Chicago, Chicago, 60637, IL |
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| Abstract: | Longitudinal analysis should be developed with the prime objective of discovering the characteristics of dynamic, disequilibrium processes. This will require a range of different research methods, including qualitative social research, repeated cross-section surveys, panel surveys, aggregate time series analysis, and simulation models. In each case it is essential that models should be formulated in a dynamic way (e.g. with lags, inertia and asymmetry). Examples are given of work using each of these methods, applied to the analysis of habit, aging, market volatility, turnover, long-term demand elasticities, and forecasting using demographic information. |
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