11 results on '"dynamic regression"'
Search Results
2. Covariate-specific evaluation of continuous biomarker.
- Author
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Li Z, Huang Y, Patil D, Rubin M, and Sanda MG
- Subjects
- Male, Humans, Computer Simulation, ROC Curve, Biomarkers, Models, Statistical, Prostatic Neoplasms
- Abstract
Diagnostic tests usually need to operate at a high sensitivity or specificity level in practice. Accordingly, specificity at the controlled sensitivity, or vice versa, is a clinically sensible performance metric for evaluating continuous biomarkers. Meanwhile, the performance of a biomarker may vary across sub-populations as defined by covariates, and covariate-specific evaluation can be informative. In this article, we develop a novel modeling and estimation method for covariate-specific specificity at a controlled sensitivity level. Unlike existing methods which typically adopt elaborate models of covariate effects over the entire biomarker distribution, our approach models covariate effects locally at a specific sensitivity level of interest. We also extend our proposed model to handle the whole continuum of sensitivities via dynamic regression and derive covariate-specific ROC curves. We provide the variance estimation through bootstrapping. The asymptotic properties are established. We conduct extensive simulation studies to evaluate the performance of our proposed methods in comparison with existing methods, and further illustrate the applications in two clinical studies for aggressive prostate cancer., (© 2023 John Wiley & Sons Ltd.)
- Published
- 2023
- Full Text
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3. Dynamic semiparametric transformation models for recurrent event data with a terminal event.
- Author
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Jin J, Song X, and Sun L
- Subjects
- Humans, Recurrence, Computer Simulation, Follow-Up Studies, Chronic Disease, Models, Statistical
- Abstract
Recurrent event data with a terminal event commonly arise in many longitudinal follow-up studies. This article proposes a class of dynamic semiparametric transformation models for the marginal mean functions of the recurrent events with a terminal event, where some covariate effects may be time-varying. An estimation procedure is developed for the model parameters, and the asymptotic properties of the resulting estimators are established. In addition, relevant significance tests are suggested for examining whether or not covariate effects vary with time, and a model checking procedure is presented for assessing the adequacy of the proposed models. The finite sample performance of the proposed estimators is examined through simulation studies, and an application to a medical cost study of chronic heart failure patients is provided., (© 2022 John Wiley & Sons Ltd.)
- Published
- 2022
- Full Text
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4. A Dynamic Regression Model of the U.S. Hog Market
- Author
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J. Scott Shonkwiler and Thomas H. Spreen
- Subjects
Economics and Econometrics ,Global and Planetary Change ,Ecology ,Welfare economics ,Dynamic regression ,Price ratio ,Animal Science and Zoology ,Agronomy and Crop Science ,Mathematics - Abstract
Historical patterns of hog slaughterings are analyzed and related to a hog-corn price ratio series using the transfer function or dynamic regression technique. This technique permits explicit tests of causal relationships and provides a systematic means for specifying distributed lag forms. It is determined that the hog-corn price ratio series leads hog slaughterings and that there is no feedback. The estimated transfer function is analyzed in terms of its implications for the supply of hogs and its implications for the length of the hog cycle. Nous analyserons les schemas historiques de l'abattage de pores et Us mettrons en correspondence avec une serie de rapportsprix du porc —prix du mais en ulilisant lafonction de transfert ou la technique de regression dynamique. Cette technique permet de tester explicitement les relations causales et foumit un moyen systematique de specifier les formes de retard distribue. On a determine que Vabattage de pores depend de la serie de rapports prix du pore —prix du mais mais que I'inverse n'est pas vrai. La fonction de transfert est analysee en fonction de ce qu'elle impliquepour I'approvisionnement en pores et pour la longueur du cycle chez les pores.
- Published
- 2008
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5. IDENTIFYING HEALTH CARE COST CRISES IN OECD NATIONS
- Author
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Thomas C. Shaw
- Subjects
Economic growth ,Public Administration ,business.industry ,Geography, Planning and Development ,Stable equilibrium ,Management, Monitoring, Policy and Law ,Principal (commercial law) ,Health spending ,Development economics ,Health care cost ,Health care ,Economics ,Dynamic regression ,Policy intervention ,business - Abstract
This study develops an empirical model for determining whether a nation's health care expenditures are experiencing a crisis based on the trend over time of the ratio of total health spending to total domestic expenditures. A dynamic regression model is applied to 22 OECD nations for the 1960–1994 period to estimate whether or not levels of health spending are converging towards a stable equilibrium and, if they are, what this equilibrium is and how long it will take to reach it. Crisis is defined as an empirically divergent process. The principal findings from this analysis are that: 1) three nations (France, Greece, and the United States) are experiencing a crisis according to this definition; 2) although the crisis potential is relatively high in all the OECD nations, there appears to be a critical region or threshold where the tendency towards crisis increases dramatically; 3) the time to reach equilibrium is generally quite long, indicating the opportunity for substantial policy intervention; and 4) Denmark stands out as a successful case where health costs have been contained.
- Published
- 2000
- Full Text
- View/download PDF
6. Climatic factors in the Atlantic control the oceanographic and ecological changes in the Baltic Sea
- Author
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Pekka Hjelt, Ilppo Vuorinen, and Jari Hänninen
- Subjects
Salinity ,Oceanography ,Baltic sea ,Lag ,Climatology ,Weather effect ,Dynamic regression ,Environmental science ,Westerlies ,Aquatic Science ,North sea ,Surface runoff - Abstract
Salinity changes in the Baltic Sea have been attributed to a lack of balance between irregular pulses of North Sea water penetrating the Danish Straits and the freshwater runoff to the Baltic Sea. Both pulses and runoff are controlled by climatic factors in the Atlantic. The occurrence of major pulses of oceanic water has proved unpredictable, being non-existent during the 1980s. We used dynamic regression models to relate the response of the Baltic Sea salinity to hypothetical controlling factors: westerly winds, freshwater runoff, and, ultimately, the Northern Atlantic oscillation (NAO). Our results provided evidence for general chain-of-events relationship between the NAO and a subsequent weather effect over the North Sea, which was finally extended to the Baltic Sea salinity. Westerly winds followed changes in the NAO with a lag of
- Published
- 2000
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7. Maximum likelihood estimation of between and within variations in energy and protein intakes from infancy to adolescence for the philippines
- Author
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Alok Bhargava and Howarth E. Bouis
- Subjects
Statistics and Probability ,Time Factors ,Adolescent ,Epidemiology ,Philippines ,Energy (esotericism) ,Maximum likelihood ,Within person ,Sample (statistics) ,Statistics ,Humans ,Epidemiologic research ,Child ,Estimation ,Models, Statistical ,Nutritional Requirements ,Infant ,Variance (accounting) ,Diet ,Nutrition Disorders ,Geography ,Child, Preschool ,Income ,Dynamic regression ,Dietary Proteins ,Energy Intake ,Epidemiologic Methods ,Demography - Abstract
The assessment of subjects' 'usual' intake of nutrients is important in assessing relationships between diet and disease and in identifying malnourished sub-groups of the populations. Estimation of the variation in intakes within subjects over time ('within variation') has importance in epidemiologic research; estimation of the between subject variation in the sample has use in defining the recommended dietary allowances that take into account the inter-individual differences. This paper estimates the between and within variances in the energy and protein intakes of 1189 Filipino children, based on 4 rounds of 24-hour recall data within a dynamic framework by means of maximum likelihood. The main findings are that the proportion of variation due to the within variance is higher for children from poorer households. Also, from the estimates of dynamic regression models for nutrient intakes of children and adults, it appears that school programmes that provide subsidized foods with good sources of protein to the poorest among school attendees will be cost effective.
- Published
- 1992
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8. Impact of aerosols on reservoir inflow: A case study for Big Creek Hydroelectric System in California.
- Author
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Kabir F, Yu N, Yao W, Wu L, Jiang JH, Gu Y, and Su H
- Abstract
Accurate and reliable reservoir inflow forecast is instrumental to the efficient operation of the hydroelectric power systems. It has been discovered that natural and anthropogenic aerosols have a great influence on meteorological variables such as temperature, snow water equivalent, and precipitation, which in turn impact the reservoir inflow. Therefore, it is imperative for us to quantify the impact of aerosols on reservoir inflow and to incorporate the aerosol models into future reservoir inflow forecasting models. In this paper, a comprehensive framework was developed to quantify the impact of aerosols on reservoir inflow by integrating the Weather Research and Forecasting model with Chemistry (WRF-Chem) and a dynamic regression model. The statistical dynamic regression model produces forecasts for reservoir inflow based on the meteorological output variables from the WRF-Chem model. The case study was performed on the Florence Lake and Lake Thomas Alva Edison of the Big Creek Hydroelectric Project in the San Joaquin Region. The simulation results show that the presence of aerosols results in a significant reduction of annual reservoir inflow by 4-14%. In the summer, aerosols reduce precipitation, snow water equivalent, and snowmelt that leads to a reduction in inflow by 11-26%. In the spring, aerosols increase temperature and snowmelt which leads to an increase in inflow by 0.6-2%. Aerosols significantly reduce the amount of inflow in the summer when the marginal value of water is extremely high and slightly increase the inflow in the spring when the run-off risk is high. In summary, the presence of aerosols is detrimental to the optimal utilization of hydroelectric power systems.
- Published
- 2018
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9. Dynamic Regression Models for Survival Data edited by Martinussen, T. and Scheike, T. H
- Author
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Terry M. Therneau
- Subjects
Statistics and Probability ,Survival data ,General Immunology and Microbiology ,Applied Mathematics ,Statistics ,Dynamic regression ,General Medicine ,General Agricultural and Biological Sciences ,General Biochemistry, Genetics and Molecular Biology ,Mathematics - Published
- 2007
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10. AUSTRALIAN CAPITAL INFLOW, SECTIONAL PRICES AND THE TERMS OF TRADE: 1870–1939
- Author
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David Pope
- Subjects
Macroeconomics ,Capital outflow ,Conceptualization ,Capital (economics) ,Australian capital ,Dynamic regression ,Economics ,Monetary economics ,Inflow ,Terms of trade ,General Economics, Econometrics and Finance ,Causality - Abstract
The paper examines the role of "traded" and "domestic" goods prices in international capital transfers. Difficulties of measurement and conceptualization are discussed, and the causal relations between capital flows to Australia, Australia's terms of trade and "domestic prices" are investigated over the years 1870-1939 using Sargent's_(1976) dynamic regression test of Granger_(1969) causality. The results suggest: that capital inflow proceeded without causing the terms of trade of the importer to change; that the ratio of "domestic" to "traded" goods prices rose, helping to effect the capital transfer; and that "domestic" prices positively fedback on capital inflow. Copyright 1986 by Blackwell Publishers Ltd/University of Adelaide and Flinders University of South Australia
- Published
- 1986
- Full Text
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11. An Econometric Model of Cattle Inventories
- Author
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Randal R. Rucker, Oscar R. Burt, and Jeffrey T. LaFrance
- Subjects
Economics and Econometrics ,Econometric model ,Average price ,Econometrics ,Economics ,Herd ,Dynamic regression ,Inference ,Sample (statistics) ,Beef cattle ,Agricultural and Biological Sciences (miscellaneous) - Abstract
Dynamic regression equations are estimated for each beef cattle breeding herd and beef cattle inventories at two levels of aggregation, the U.S. and Montana. The analysis for Montana was utilized as a guide for specification of the national equation to reduce the inference problem associated with letting the sample data help specify the model. Rational lags on average price received by farmers for calves and the ratio of fed beef to corn prices at Omaha constitute the primary explanatory variables. The equations perform exceedingly well over the sample period ( 1950–80) and in post-sample forecasts with the sample truncated back to 1970.
- Published
- 1984
- Full Text
- View/download PDF
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