Modeling antiretroviral drug responses for HIV-1 infected patients using differential equation models.

[1]  Martin Bohner,et al.  Impulsive differential equations: Periodic solutions and applications , 2015, Autom..

[2]  J. Lei.  Monotone Dynamical Systems , 2013 .

[3]  Hulin Wu,et al.  Piecewise HIV virus dynamic model with CD4(+) T cell count-guided therapy: I. , 2012, Journal of theoretical biology.

[4]  Jianhong Wu,et al.  Optimal control of drug therapy: Melding pharmacokinetics with viral dynamics , 2012, Biosyst..

[5]  Hans-Georg Müller,et al.  Functional Data Analysis , 2016 .

[6]  Hulin Wu,et al.  A Two-Stage Estimation Method for Random Coefficient Differential Equation Models with Application to Longitudinal HIV Dynamic Data. , 2011, Statistica Sinica.

[7]  Daniel Coombs,et al.  A Stochastic Model of Latently Infected Cell Reactivation and Viral Blip Generation in Treated HIV Patients , 2011, PLoS Comput. Biol..

[8]  Xiaohua Xia,et al.  On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics , 2011, SIAM Rev..

[9]  Alan S. Perelson,et al.  Stochastic Theory of Early Viral Infection: Continuous versus Burst Production of Virions , 2011, PLoS Comput. Biol..

[10]  Andrej Pázman,et al.  Nonlinear Regression , 2019, Handbook of Regression Analysis With Applications in R.

[11]  J. French,et al.  A Semi‐Mechanistic Model of CP‐690,550‐Induced Reduction in Neutrophil Counts in Patients With Rheumatoid Arthritis , 2010, Journal of clinical pharmacology.

[12]  Xh Huang,et al.  Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications , 2010 .

[13]  Hulin Wu,et al.  ESTIMATION OF CONSTANT AND TIME-VARYING DYNAMIC PARAMETERS OF HIV INFECTION IN A NONLINEAR DIFFERENTIAL EQUATION MODEL. , 2010, The annals of applied statistics.

[14]  Michael Y. Li,et al.  Global Dynamics of an In-host Viral Model with Intracellular Delay , 2010, Bulletin of mathematical biology.

[15]  Robert J. Smith,et al.  Modelling imperfect adherence to HIV induction therapy , 2010, BMC infectious diseases.

[16]  Stephen L Leib,et al.  Bacteremia causes hippocampal apoptosis in experimental pneumococcal meningitis , 2010, BMC infectious diseases.

[17]  Yanni Xiao,et al.  Threshold dynamics for an HIV model in periodic environments , 2010 .

[18]  Hongyu Miao.  Understanding B Cell Kinetics in Humans via Heavy Water Labeling Using Nonlinear Mixed Effects Models and Stochastic Approximation EM algorithms , 2010 .

[19]  Libin Rong,et al.  Modeling HIV persistence, the latent reservoir, and viral blips. , 2009, Journal of theoretical biology.

[20]  Marios M. Hadjiandreou,et al.  HIV Treatment Planning on a case-by-CASE Basis , 2009 .

[21]  Yan Wang,et al.  Oscillatory viral dynamics in a delayed HIV pathogenesis model. , 2009, Mathematical biosciences.

[22]  Annapaola Callegaro,et al.  CD4 cell-guided scheduled treatment interruptions in HIV-infected patients with sustained immunologic response to HAART. , 2009, AIDS.

[23]  Cristian Meza,et al.  Estimation in the probit normal model for binary outcomes using the SAEM algorithm , 2009, Comput. Stat. Data Anal..

[24]  Robert J. Smith,et al.  Can the viral reservoir of latently infected CD4+ T cells be eradicated with antiretroviral HIV drugs? , 2009, Journal of mathematical biology.

[25]  Libin Rong,et al.  Asymmetric division of activated latently infected cells may explain the decay kinetics of the HIV-1 latent reservoir and intermittent viral blips. , 2009, Mathematical biosciences.

[26]  James O. Ramsay,et al.  Selecting optimal weighting factors in iPDA for parameter estimation in continuous-time dynamic models , 2008, Comput. Chem. Eng..

[27]  Yangxin Huang,et al.  Modeling long-term longitudinal HIV dynamics with application to an AIDS clinical study , 2008, 0901.3806.

[28]  Hulin Wu,et al.  Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models , 2008, Journal of the American Statistical Association.

[29]  Mario di Bernardo,et al.  Bifurcations in Nonsmooth Dynamical Systems , 2008, SIAM Rev..

[30]  Yi Wang,et al.  Semiparametric mixed-effects analysis of PK/PD models using differential equations , 2008, Journal of Pharmacokinetics and Pharmacodynamics.

[31]  Christian L. Althaus,et al.  Dynamics of Immune Escape during HIV/SIV Infection , 2008, PLoS Comput. Biol..

[32]  Hulin Wu,et al.  Estimation of time-varying parameters in deterministic dynamic models , 2008 .

[33]  A. Perelson,et al.  The probability of HIV infection in a new host and its reduction with microbicides. , 2008, Mathematical biosciences.

[34]  Xingfu Zou,et al.  Impact of delays in cell infection and virus production on HIV-1 dynamics. , 2008, Mathematical medicine and biology : a journal of the IMA.

[35]  Xiao-Qiang Zhao,et al.  Threshold Dynamics for Compartmental Epidemic Models in Periodic Environments , 2008 .

[36]  Hulin Wu,et al.  Efficient Local Estimation for Time-Varying Coefficients in Deterministic Dynamic Models With Applications to HIV-1 Dynamics , 2008 .

[37]  Iñaki F Trocóniz,et al.  Semi-mechanistic modelling of the tumour growth inhibitory effects of LY2157299, a new type I receptor TGF-beta kinase antagonist, in mice. , 2008, European journal of cancer.

[38]  D Commenges,et al.  Maximum Likelihood Estimation in Dynamical Models of HIV , 2007, Biometrics.

[39]  Sanyi Tang,et al.  One-compartment model with Michaelis-Menten elimination kinetics and therapeutic window: an analytical approach , 2007, Journal of Pharmacokinetics and Pharmacodynamics.

[40]  Cristian Meza,et al.  REML Estimation of Variance Parameters in Nonlinear Mixed Effects Models Using the SAEM Algorithm , 2007, Biometrical journal. Biometrische Zeitschrift.

[41]  Yoh Iwasa,et al.  Probability of resistance evolution for exponentially growing virus in the host. , 2007, Journal of theoretical biology.

[42]  Marie Davidian,et al.  Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection. , 2007, Drug and alcohol dependence.

[43]  Alan S. Perelson,et al.  Emergence of HIV-1 Drug Resistance During Antiretroviral Treatment , 2007, Bulletin of mathematical biology.

[44]  Rob J. de Boer,et al.  Understanding the failure of CD8 T-cell vaccination against simian/human immunodeficiency virus , 2007 .

[45]  R. Siliciano,et al.  Experimental approaches to the study of HIV-1 latency , 2007, Nature Reviews Microbiology.

[46]  Nicolas Bacaër.  Approximation of the Basic Reproduction Number R0 for Vector-Borne Diseases with a Periodic Vector Population , 2007, Bulletin of mathematical biology.

[47]  R. D. de Boer,et al.  Understanding the Failure of CD8+ T-Cell Vaccination against Simian/Human Immunodeficiency Virus , 2007, Journal of Virology.

[48]  Jiguo Cao,et al.  Parameter estimation for differential equations: a generalized smoothing approach , 2007 .

[49]  France Mentré,et al.  Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model , 2006, Comput. Stat. Data Anal..

[50]  J Darbyshire,et al.  CD4+ count-guided interruption of antiretroviral treatment. , 2006, The New England journal of medicine.

[51]  Matthias Cavassini,et al.  CD4-guided scheduled treatment interruptions compared with continuous therapy for patients infected with HIV-1: results of the Staccato randomised trial , 2006, The Lancet.

[52]  Davide Verotta,et al.  A Non-linear Mixed Effect Dynamic Model Incorporating Prior Exposure and Adherence to Treatment to Describe Long-term Therapy Outcome in HIV-patients , 2006, Journal of Pharmacokinetics and Pharmacodynamics.

[53]  Hulin Wu,et al.  Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System , 2006, Biometrics.

[54]  Xianning Liu,et al.  Global stability in a viral infection model with lytic and nonlytic immune responses , 2006, Comput. Math. Appl..

[55]  Romulus Breban,et al.  Role of parametric resonance in virological failure during HIV treatment interruption therapy , 2006, The Lancet.

[56]  Alan S. Perelson,et al.  Pharmacodynamics of Antiretroviral Agents in HIV-1 Infected Patients: Using Viral Dynamic Models that Incorporate Drug Susceptibility and Adherence , 2006, Journal of Pharmacokinetics and Pharmacodynamics.

[57]  Commenges Daniel,et al.  Relationship between Derivatives of the Observed and Full Loglikelihoods and Application to Newton-Raphson Algorithm , 2006 .

[58]  Michael Y. Li,et al.  Mathematical analysis of the global dynamics of a model for HIV infection of CD4+ T cells. , 2006, Mathematical biosciences.

[59]  P. James McLellan,et al.  Parameter estimation in continuous-time dynamic models using principal differential analysis , 2006, Comput. Chem. Eng..

[60]  Maria Rodriguez-Fernandez,et al.  A hybrid approach for efficient and robust parameter estimation in biochemical pathways. , 2006, Bio Systems.

[61]  R. Smith,et al.  Adherence to antiretroviral HIV drugs: how many doses can you miss before resistance emerges? , 2006, Proceedings of the Royal Society B: Biological Sciences.

[62]  Davide Verotta,et al.  Models and estimation methods for clinical HIV-1 data , 2005 .

[63]  L Aarons,et al.  Physiologically based pharmacokinetic modelling: a sound mechanistic basis is needed. , 2005, British journal of clinical pharmacology.

[64]  A two-strain hiv-1 mathematical model to assess the effects of chemotherapy on disease parameters. , 2005, Mathematical biosciences and engineering : MBE.

[65]  A. Ghani,et al.  Adherence to antiretroviral therapy and its impact on clinical outcome in HIV-infected patients , 2005, Journal of The Royal Society Interface.

[66]  Jane M Heffernan,et al.  Monte Carlo estimates of natural variation in HIV infection. , 2005, Journal of theoretical biology.

[67]  L M Wahl,et al.  Drug resistance in an immunological model of HIV-1 infection with impulsive drug effects , 2005, Bulletin of mathematical biology.

[68]  Lindi M. Wahl,et al.  TREATMENT INTERRUPTIONS AND RESISTANCE: A REVIEW , 2005 .

[69]  Hulin Wu,et al.  Modeling Long-Term HIV Dynamics and Antiretroviral Response: Effects of Drug Potency, Pharmacokinetics, Adherence, and Drug Resistance , 2005, Journal of acquired immune deficiency syndromes.

[70]  Marc Lavielle,et al.  Maximum likelihood estimation in nonlinear mixed effects models , 2005, Comput. Stat. Data Anal..

[71]  J. Wanders,et al.  Semi-physiological model describing the hematological toxicity of the anti-cancer agent indisulam , 2005, Investigational New Drugs.

[72]  M. Hirsch,et al.  4. Monotone Dynamical Systems , 2005 .

[73]  R. Siliciano,et al.  The multifactorial nature of HIV-1 latency. , 2004, Trends in molecular medicine.

[74]  L M Wahl,et al.  Distinct effects of protease and reverse transcriptase inhibition in an immunological model of HIV-1 infection with impulsive drug effects , 2004, Bulletin of mathematical biology.

[75]  E. Kuhn,et al.  Coupling a stochastic approximation version of EM with an MCMC procedure , 2004 .

[76]  B. Adams,et al.  Dynamic multidrug therapies for hiv: optimal and sti control approaches. , 2004, Mathematical biosciences and engineering : MBE.

[77]  Dominik Wodarz,et al.  Immune responses and the emergence of drug–resistant virus strains in vivo , 2004, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[78]  János Abonyi,et al.  Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction , 2004, ICAISC.

[79]  Toru Sasaki,et al.  A note on the stability analysis of pathogen-immune interaction dynamics , 2004 .

[80]  Shigui Ruan,et al.  Mathematical Biology Digital Object Identifier (DOI): , 2000 .

[81]  R. Jackson.  A Pharmacokinetic–Pharmacodynamic Model of Chemotherapy of Human Immunodeficiency Virus Infection that Relates Development of Drug Resistance to Treatment Intensity , 1997, Journal of Pharmacokinetics and Biopharmaceutics.

[82]  David R. Anderson,et al.  Understanding AIC and BIC in Model Selection , 2004 .

[83]  S. Deeks,et al.  Treatment of antiretroviral-drug-resistant HIV-1 infection , 2003, The Lancet.

[84]  Joel E Gallant,et al.  Association between adherence to antiretroviral therapy and human immunodeficiency virus drug resistance. , 2003, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[85]  Ray Bert.  Book Review: \IMovable Bridge Engineering\N by Terry L. Koglin. Hoboken, New Jersey: John Wiley & Sons, Inc. 2003 , 2003 .

[86]  Hulin Wu,et al.  Modeling HIV dynamics and antiviral response with consideration of time-varying drug exposures, adherence and phenotypic sensitivity. , 2003, Mathematical biosciences.

[87]  Hal L. Smith,et al.  Virus Dynamics: A Global Analysis , 2003, SIAM J. Appl. Math..

[88]  Lang Li,et al.  Estimation and Inference for a Spline‐Enhanced Population Pharmacokinetic Model , 2002, Biometrics.

[89]  Patrick W Nelson,et al.  Mathematical analysis of delay differential equation models of HIV-1 infection. , 2002, Mathematical biosciences.

[90]  Hem Raj Joshi,et al.  Optimal control of an HIV immunology model , 2002 .

[91]  Michael A. Saunders,et al.  SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization , 2002, SIAM J. Optim..

[92]  D. Back,et al.  Intracellular pharmacology of nucleoside analogues and protease inhibitors: role of transporter molecules , 2002, Current opinion in infectious diseases.

[93]  Alan S. Perelson,et al.  Bayesian Analysis of a Population HIV Dynamic Model , 2002 .

[94]  A. Perelson.  Modelling viral and immune system dynamics , 2002, Nature Reviews Immunology.

[95]  A N Phillips,et al.  Use of a stochastic model to develop understanding of the impact of different patterns of antiretroviral drug use on resistance development , 2001, AIDS.

[96]  H. Gershengorn,et al.  Predicting the unpredictable: Transmission of drug-resistant HIV , 2001, Nature Medicine.

[97]  A. Zolopa,et al.  Non-adherence to highly active antiretroviral therapy predicts progression to AIDS. , 2001, AIDS.

[98]  S. Wain-Hobson.  Virus Dynamics: Mathematical Principles of Immunology and Virology , 2001, Nature Medicine.

[99]  Alan S. Perelson,et al.  Effect of drug efficacy and the eclipse phase of the viral life cycle on estimates of HIV viral dynamic parameters. , 2001 .

[100]  A S Perelson,et al.  Effect of Drug Efficacy and the Eclipse Phase of the Viral Life Cycle on Estimates of HIV Viral Dynamic Parameters , 2001, Journal of acquired immune deficiency syndromes.

[101]  R W Makuch,et al.  A stochastic modeling of early HIV-1 population dynamics. , 2001, Mathematical biosciences.

[102]  D K Smith,et al.  Numerical Optimization , 2001, J. Oper. Res. Soc..

[103]  N. Kalogerakis,et al.  Applied parameter estimation for chemical engineers , 2000 .

[104]  D. Wodarz,et al.  HIV–1 dynamics revisited: biphasic decay by cytotoxic T lymphocyte killing? , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[105]  S Bonhoeffer,et al.  Production of resistant HIV mutants during antiretroviral therapy. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[106]  Susan Swindells,et al.  Adherence to Protease Inhibitor Therapy and Outcomes in Patients with HIV Infection , 2000, Annals of Internal Medicine.

[107]  James O. Ramsay,et al.  Penalized regression with model‐based penalties , 2000 .

[108]  S. Ruan,et al.  A delay-differential equation model of HIV infection of CD4(+) T-cells. , 2000, Mathematical biosciences.

[109]  L M Wahl,et al.  Adherence and drug resistance: predictions for therapy outcome , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[110]  C. Sabin,et al.  Course of Viral Load Throughout HIV‐1 Infection , 2000, Journal of acquired immune deficiency syndromes.

[111]  C. Sabin,et al.  Course of viral load throughout HIV-1 infection. , 2000 .

[112]  A. Perelson,et al.  A model of HIV-1 pathogenesis that includes an intracellular delay. , 2000, Mathematical biosciences.

[113]  G. Friedland,et al.  Attaining higher goals in HIV treatment: the central importance of adherence. , 1999, AIDS.

[114]  A S Perelson,et al.  Improved estimates for HIV-1 clearance rate and intracellular delay. , 1999, AIDS.

[115]  H Wu,et al.  Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials , 1999, Biometrics.

[116]  P. Harrigan,et al.  Rate of HIV-1 RNA rebound upon stopping antiretroviral therapy. , 1999, AIDS.

[117]  Alan S. Perelson,et al.  Mathematical Analysis of HIV-1 Dynamics in Vivo , 1999, SIAM Rev..

[118]  Judy Tam,et al.  Delay effect in a model for virus replication. , 1999, IMA journal of mathematics applied in medicine and biology.

[119]  É. Moulines,et al.  Convergence of a stochastic approximation version of the EM algorithm , 1999 .

[120]  S. Lenhart,et al.  OPTIMIZING CHEMOTHERAPY IN AN HIV MODEL , 1998 .

[121]  A. Perelson,et al.  Influence of delayed viral production on viral dynamics in HIV-1 infected patients. , 1998, Mathematical biosciences.

[122]  Henk B. Verbruggen,et al.  Semi-mechanistic modeling of chemical processes with neural networks , 1998 .

[123]  P. Harrigan,et al.  Rebound of plasma HIV viral load following prolonged suppression with combination therapy. , 1998, AIDS.

[124]  J J Goedert,et al.  Longitudinal HIV-1 RNA levels in a cohort of homosexual men. , 1998, Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association.

[125]  H C Tuckwell,et al.  Variability in early HIV-1 population dynamics. , 1998, AIDS.

[126]  A. R. Gallant,et al.  Noise and Nonlinearity in Measles Epidemics: Combining Mechanistic and Statistical Approaches to Population Modeling , 1998, The American Naturalist.

[127]  Martin A. Nowak,et al.  The frequency of resistant mutant virus before antiviral therapy , 1998, AIDS.

[128]  W. Tan,et al.  Stochastic modeling of the dynamics of CD4+ T-cell infection by HIV and some Monte Carlo studies. , 1998, Mathematical biosciences.

[129]  R J D B,et al.  Target Cell Limited and Immune Control Models of HIV Infection : A Comparison , 1998 .

[130]  H C T,et al.  A Stochastic Model for Early HIV-1 Population Dynamics , 1998 .

[131]  W M Liu,et al.  Nonlinear oscillations in models of immune responses to persistent viruses. , 1997, Theoretical population biology.

[132]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[133]  M. Schambelan,et al.  Variance of plasma human immunodeficiency virus type 1 RNA levels measured by branched DNA within and between days. , 1997, The Journal of infectious diseases.

[134]  D. Kirschner,et al.  Optimal control of the chemotherapy of HIV , 1997, Journal of mathematical biology.

[135]  G. F. Webb,et al.  Understanding drug resistance for monotherapy treatment of HIV infection , 1997, Bulletin of mathematical biology.

[136]  M A Nowak,et al.  Pre-existence and emergence of drug resistance in HIV-1 infection. , 1997, Proceedings. Biological sciences.

[137]  Alan S. Perelson,et al.  Decay characteristics of HIV-1-infected compartments during combination therapy , 1997, Nature.

[138]  J R Ickovics,et al.  Adherence in AIDS clinical trials: a framework for clinical research and clinical care. , 1997, Journal of clinical epidemiology.

[139]  George B. Dantzig,et al.  Linear Programming 1: Introduction , 1997 .

[140]  M A Nowak,et al.  Anti-viral drug treatment: dynamics of resistance in free virus and infected cell populations. , 1997, Journal of theoretical biology.

[141]  A. N,et al.  Dynamic Multidrug Therapies for HIV : A Control Theoretic Approach , 1997 .

[142]  S. Bonhoeffer,et al.  HIV-1 Evolution and Disease Progression , 1996, Science.

[143]  James O. Ramsay,et al.  Principal differential analysis : Data reduction by differential operators , 1996 .

[144]  L. Skovgaard.  NONLINEAR MODELS FOR REPEATED MEASUREMENT DATA. , 1996 .

[145]  M A Nowak,et al.  Viral dynamics in vivo: limitations on estimates of intracellular delay and virus decay. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[146]  D. Ho,et al.  Ordered accumulation of mutations in HIV protease confers resistance to ritonavir , 1996, Nature Medicine.

[147]  J. Montaner,et al.  Variation in plasma RNA levels, CD4 cell counts, and p24 antigen levels in clinically stable men with human immunodeficiency virus infection. , 1996, The Journal of infectious diseases.

[148]  Steven M. Wolinsky,et al.  Adaptive Evolution of Human Immunodeficiency Virus-Type 1 During the Natural Course of Infection , 1996, Science.

[149]  T. Merigan,et al.  Treatment of human immunodeficiency virus infection with saquinavir, zidovudine, and zalcitabine. AIDS Clinical Trials Group. , 1996, The New England journal of medicine.

[150]  M. Nowak,et al.  Population Dynamics of Immune Responses to Persistent Viruses , 1996, Science.

[151]  A. Perelson,et al.  HIV-1 Dynamics in Vivo: Virion Clearance Rate, Infected Cell Life-Span, and Viral Generation Time , 1996, Science.

[152]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[153]  A S Perelson,et al.  Towards a general function describing T cell proliferation. , 1995, Journal of theoretical biology.

[154]  Martin A. Nowak,et al.  Antigenic oscillations and shifting immunodominance in HIV-1 infections , 1995, Nature.

[155]  Drumi D. Bainov,et al.  Impulsive Differential Equations: Asymptotic Properties of the Solutions , 1995, Series on Advances in Mathematics for Applied Sciences.

[156]  Martin A. Nowak,et al.  Viral dynamics in human immunodeficiency virus type 1 infection , 1995, Nature.

[157]  A. Perelson,et al.  Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection , 1995, Nature.

[158]  A. Perelson,et al.  Dynamics of HIV infection of CD4+ T cells. , 1993, Mathematical biosciences.

[159]  John W. Ward,et al.  1993 revised classification system for HIV infection and expanded surveillance case definition for AIDS among adolescents and adults. , 1993, MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports.

[160]  M A Nowak,et al.  Variability of HIV infections. , 1992, Journal of theoretical biology.

[161]  M A Nowak,et al.  Competition between zidovudine‐sensitive and zidovudine‐resistant strains of HIV , 1992, AIDS.

[162]  M A Nowak,et al.  Antigenic diversity thresholds and the development of AIDS. , 1991, Science.

[163]  M A Nowak,et al.  Mathematical biology of HIV infections: antigenic variation and diversity threshold. , 1991, Mathematical biosciences.

[164]  T Pullar,et al.  Compliance in clinical trials. , 1989, Annals of the rheumatic diseases.

[165]  Stephen J. Merrill,et al.  Modeling the interaction of HIV with cells of the immune system , 1989 .

[166]  Aleksej F. Filippov,et al.  Differential Equations with Discontinuous Righthand Sides , 1988, Mathematics and Its Applications.

[167]  J. Varah.  A Spline Least Squares Method for Numerical Parameter Estimation in Differential Equations , 1982 .

[168]  T. Louis.  Finding the Observed Information Matrix When Using the EM Algorithm , 1982 .

[169]  M. Benson,et al.  Parameter fitting in dynamic models , 1979 .

[170]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[171]  F. Glover.  HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS , 1977 .

[172]  J Swartz,et al.  Discussion of parameter estimation in biological modelling: Algorithms for estimation and evaluation of the estimates , 1975, Journal of mathematical biology.

[173]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .