Marie Davidian

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine

Boca Raton: Chapman & Hall/CRC Press.

Application of a sequential multiple assignment randomized trial (SMART) design in older patients with chronic lymphocytic leukemia

[Review of ]. ANNALS OF ONCOLOGY, 30(4), 542–550.

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine

In CRC Press. Boca Raton, FL: CRC Press.

Interpretable Dynamic Treatment Regimes

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 113(524), 1541–1549.

Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data

BIOMETRICS, 74(4), 1180–1192.

Q-Learning

Biometrics, JABES and the International Biometric Society

Journal of Agricultural, Biological and Environmental Statistics, 22(3), 221–223.

Dynamic treatment regimes, past, present, and future: A conversation with experts

Statistical Methods in Medical Research, 26(4), 1605–1610.

On estimation of optimal treatment regimes for maximizing t-year survival probability

Journal of the Royal Statistical Society. Series B, Statistical Methodology, 79(4), 1165–1185.

Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART

Contemporary Clinical Trials, 57, 51–57.

Special issue of journal of biopharmaceutical statistics dedicated to 2016 trends and innovations in clinical trial statistics (TICTS) conference

Journal of Biopharmaceutical Statistics, 27(3), 357–357.

Survival benefit of lung transplantation in the modern era of lung allocation

Annals of the American Thoracic Society, 14(2), 172–181.

The Analysis of multivariate longitudinal data: a review: response to letter of m. Gebregziabher

Statistical Methods in Medical Research, Vol. 26, pp. 112–112.

A placebo-controlled, prospective, randomized clinical trial of polyethylene glycol and methylprednisolone sodium succinate in dogs with intervertebral disk herniation

Journal of Veterinary Internal Medicine, 30(1), 206–214.

Dynamic treatment regimes

In S. L. George, X. Wang, & H. Pang (Eds.), Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis (pp. 409–446). Boca Raton: Chapman & Hall/CRC Press.

Estimating optimal treatment regimes from a classification perspective (vol 1, pg 103, 2012)

Stat, Vol. 5, pp. 278–278.

Optimal Dynamic Treatment Regimes

Ten Simple Rules for Effective Statistical Practice

PLOS Computational Biology, 12(6), e1004961.

A robust method for estimating optimal treatment regimes

Biometrics, 71, 271–273.

Chapter 9: Value search estimators for optimal dynamic treatment regimes

In Adaptive Treatment Strategies in Practice (pp. 135–155).

Estimation after a group sequential trial

Statistics in Biosciences, 7(2), 187–205.

Properties of Estimators in Exponential Family Settings with Observationbased Stopping Rules

Journal of Biometrics & Biostatistics, 07(01).

Using decision lists to construct interpretable and parsimonious treatment regimes

Biometrics, 71(4), 895–904.

Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy

Statistics in Medicine, 35(8), 1245–1256.

Collaboration to meet the statistical needs in the chemistry curriculum

Journal of Chemical Education, Vol. 91, pp. 12–12.

Combining biomarkers to optimize patient treatment recommendations discussions

Biometrics, 70(3), 707–710.

Missing data methods: A semiparametric perspective

In G. Fitzmaurice, M. Kenward, G. Molenberghs, A. A. Tsiatis, & G. Verbeke (Eds.), Handbook of Missing Data. Boca Raton: Chapman & Hall/CRC Press.

On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: Sequential trials, random sample sizes, and missing data

Statistical Methods in Medical Research, 23(1), 11–41.

Publishing without perishing and other career advice

Past, Present, and Future of Statistical Science, 581–591.

Q- and A-learning methods for estimating optimal dynamic treatment regimes

Statistical Science, 29(4), 640–661.

Research Methods for Clinical Trials in Personalized Medicine: A Systematic Review

In Lost in Translation (pp. 659–684).

SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models

Journal of Statistical Software, 56(Code Snippet 2).

The Work of Raymond J. Carroll

The analysis of multivariate longitudinal data: A review

Statistical Methods in Medical Research, 23(1), 42–59.

Assessing the causal effect of organ transplantation on the distribution of residual lifetime

Biometrics, 69(4), 820–829.

Bias Reduction in Logistic Regression with Estimated Variance Predictors

In ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers (pp. 33–51).

Building the Biostatistics Pipeline: Summer Institutes for Training in Biostatistics (SIBS)

CHANCE, 26(1), 4–9.

Moment adjusted imputation for multivariate measurement error data with applications to logistic regression

Computational Statistics & Data Analysis, 67, 15–24.

Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions

Biometrika, 100(3), 681–694.

The international year of statistics: A celebration and a call to action

Journal of the American Statistical Association, 108(504), 1141–1146.

A robust method for estimating optimal treatment regimes

Biometrics, 68(4), 1010–1018.

Estimating optimal treatment regimes from a classification perspective

Stat, 1(1), 103–114.

Mixed model analysis of censored longitudinal data with flexible random-effects density

Biostatistics (Oxford, England), 13(1), 61–73.

Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials

Statistics in Medicine, 31(29), 3789–3804.

Why statistics?

Science, 336(6077), 12–12.

A moment-adjusted imputation method for measurement error models

Biometrics, 67(4), 1461–1470.

Connections between survey calibration estimators and semiparametric models for incomplete data discussion

International Statistical Review, 79(2), 221–223.

Doubly robust estimation of causal effects

American Journal of Epidemiology, 173(7), 761–767.

Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout

Biometrics, 67(2), 536–545.

Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: the SYNERGY trial

Biostatistics (Oxford, England), 12(2), 258–269.

Timing of HAART initiation and clinical outcomes in human immunodeficiency virus type 1 seroconverters

Archives of Internal Medicine, 171(17), 1560–1569.

Demographic and historical findings, including exposure to environmental tobacco smoke, in dogs with chronic cough

Journal of Veterinary Internal Medicine, 24(4), 825–831.

Doubly robust estimation of treatment effects

In D. Faries, A. Leon, J. M. Haro, & R. Obenchain (Eds.), Analysis of Observational Health-Care Data Using SAS. Cary, NC: SAS Press.

Experimental Statistics for biological sciences

In H. Bang, X. K. Zhou, H. L. Van Epps, & M. Mazumdar (Eds.), Statistical Methods in Molecular Biology (pp. 3–104). New York: Springer (Humana Press).

A model for HCMV infection in immunosuppressed patients

Mathematical and Computer Modelling, 49(7-8), 1653–1663.

An Inverse Problem Statistical Methodology Summary

In Mathematical and Statistical Estimation Approaches in Epidemiology (pp. 249–302).

Gene-Trait Similarity Regression for Multimarker-Based Association Analysis

Biometrics, 65(3), 822–832.

Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

Biometrika, 96(3), 723–734.

Latent-model robustness in joint models for a primary endpoint and a longitudinal process

Biometrics, 65(3), 719–727.

Nonlinear models for longitudinal data

American Statistician, 63(4), 378–388.

"Smooth" semiparametric regression analysis for arbitrarily censored time-to-event data

Biometrics, 64(2), 567–576.

'Smooth' inference for survival functions with arbitrarily censored data

Statistics in Medicine, 27(26), 5421–5439.

Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

Statistics in Medicine, 27(23), 4658–4677.

Improving efficiency of inferences in randomized clinical trials using auxiliary covariates

Biometrics, 64(3), 707–715.

Joint models for longitudinal data

In Chapman & Hall/CRC Handbooks of Modern Statistical Methods (pp. 319–326).

Longitudinal Data Analysis

In Chapman & Hall/CRC, Taylor & Francis Group. Boca Raton, FL: Chapman & Hall/CRC.

Longitudinal Data Analysis

Modelling HIV immune response and validation with clinical data

Journal of Biological Dynamics, 2(4), 357–385.

Non-linear mixed-effects models

In Chapman & Hall/CRC Handbooks of Modern Statistical Methods (pp. 107–141).

Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

Statistical Science, 22(4), 569–573.

Estimation and prediction with HIV-treatment interruption data

Bulletin of Mathematical Biology, 69(2), 563–584.

Likelihood and pseudo-likelihood methods for semiparametric joint models for a primary endpoint and longitudinal data

Computational Statistics & Data Analysis, 51(12), 5776–5790.

Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection

Drug and Alcohol Dependence, 88, S41–51.

Dose Calibration

Latent-model robustness in structural measurement error models

Biometrika, 93(1), 53–64.

Smoothing spline-based score tests for proportional hazards models

Biometrics, 62(3), 803–812.

Biometrics

HIV dynamics: Modeling, data analysis, and optimal treatment protocols

Journal of Computational and Applied Mathematics, 184(1), 10–49.

Semiparametric estimation of treatment effect in a pretest-posttest study with missing data

Statistical Science, 20(3), 261–282.

Statistical issues arising in the Women's Health Initiative - Discussion

Biometrics, 61(4), 933–935.

Surgeons? Economic Profiles: Can We Get the ?Right? Answers?

Journal of Medical Systems, 29(2), 111–124.

Conditional estimation for generalized linear models when covariates are subject-specific parameters in a mixed model for longitudinal measurements

Biometrics, 60(1), 07-.

Differential Treatment Benefit of Platelet Glycoprotein IIb/IIIa Inhibition With Percutaneous Coronary Intervention Versus Medical Therapy for Acute Coronary Syndromes

Circulation, 109(5), 641–646.

Discussion of nonparametric and semiparametric regression

Statistica Sinica, 14(3), 615–629.

Emerging issues in longitudinal and functional data analysis - Introduction

Statistica Sinica, 14(3), 613–614.

Growth, mortality, and hatchdate distributions of larval and juvenile spotted seatrout (Cynoscion nebulosus) in Florida Bay, Everglades National Park

Fishery Bulletin (Washington, D.C.), 102(1), 142–155.

Joint modeling of longitudinal and time-to-event data: An overview

Statistica Sinica, 14(3), 809–834.

Likelihood and conditional likelihood inference for generalized additive mixed models for clustered data

Journal of Multivariate Analysis, 91(1), 90–106.

Linear mixed effects models with flexible generalized skew-elliptical random effects

In Skew-elliptical distibutions and their applications: A journey beyond normality. Boca Raton, FL: Chapman & Hall/CRC.

Marginal structural models for analyzing causal effects of time-dependent treatments: An application in perinatal epidemiology

American Journal of Epidemiology, 159(10), 926–934.

Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study

Statistics in Medicine, 23(19), 2937–2960.

Nonlinear models for repeated measurement data: An overview and update

Journal of Agricultural, Biological, and Environmental Statistics, 8(4), 387–419.

Robust two-stage approach to repeated measurements analysis of chronic ozone exposure in rats

Journal of Agricultural, Biological, and Environmental Statistics, 8(4), 438–454.

Semiparametric estimation of treatment effect in a pretest-posttest study

Biometrics, 59(4), 1046–1055.

A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution

Biostatistics (Oxford, England), 3(3), 347–360.

A semiparametric likelihood approach to joint modeling of longitudinal and time-to-event data

Biometrics, 58(4), 742–753.

An estimator for the proportional hazards model with multiple longitudinal covariates measured with error

Biostatistics (Oxford, England), 3(4), 511–528.

Constrained four parameter logistic model

In Developments in Biologicals: Vol. 107. The Design and Analysis of Potency Assays for Biotechnology Products (pp. 71–76). Basel: Karger.

Estimation of survival distributions of treatment policies in two-stage randomization designs in clinical trials

Biometrics, 58(1), 48–57.

Multiple imputation methods for testing treatment differences in survival distributions with missing cause of failure

Biometrika, 89(1), 238–244.

Randomized COMparison of platelet inhibition with abciximab, TiRofiban and eptifibatide during percutaneous coronary intervention in acute coronary syndromes - The COMPARE trial

Circulation (New York, N.Y. : 1950), 106(12), 1470–1476.

A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error

Biometrika, 88(2), 447–458.

Linear mixed models with flexible distributions of random effects for longitudinal data

Biometrics, 57(3), 795–802.

Robust two-stage estimation in hierarchical nonlinear models

Biometrics, 57(1), 266–272.

Consequences of misspecifying assumptions in nonlinear mixed effects models

Computational Statistics & Data Analysis, 34(2), 139–164.

Correcting for measurement error in individual-level covariates in nonlinear mixed effects models

Biometrics, 56(2), 368–375.

Differences in viral dynamics between genotypes 1 and 2 of hepatitis C virus

Journal of Infectious Diseases, 182(1), 28–35.

Estimating data transformations in nonlinear mixed effects models

Biometrics, 56(1), 65–72.

Human immunodeficiency virus type 1-specific cytotoxic T lymphocyte activity is inversely correlated with HIV type 1 viral load in HIV type 1-infected long-term survivors

AIDS Research and Human Retroviruses, 15(13), 1219–1228.

Invited discussion of “The Bayesian approach to population pharmacokinetic-pharmacodynamic modeling” by Wakefield, Aarons, and Racine-Poon

In C. Gatsonis, R. E. Kass, B. Carlin, A. Carriquiry, A. Gelman, I. Verdinelli, & M. West (Eds.), Case Studies in Bayesian Statistics: Vol. IV (pp. 257–263). New York: Springer-Verlag.

Estimating the parameters in the Cox model when covariate variables are measured with error

Biometrics, 54(4), 1407–1419.

Statistical properties of fitted estimates of apparent in vivo metabolic constants obtained from gas uptake data. I. Lipophilic and slowly metabolized VOCs

Inhalation Toxicology, 10(5), 383–409.

The effect of serial dilution error on calibration inference in immunoassay

Biometrics, 54(1), 19–32.

A two-step approach to measurement error in time-dependent covariates in nonlinear mixed-effects models, with application to IGF-I pharmacokinetics

Journal of the American Statistical Association, 92(438), 436–448.

Bootstrap-Adjusted Calibration Confidence Intervals for Immunoassay

Journal of the American Statistical Association, 92(437), 278–290.

Calibration inference based on multiple runs of an immunoassay

Biometrics, 53(4), 1304–1317.

Testing homogeneity of intra-run variance parameters in immunoassay

Statistics in Medicine, 16(15), 1765–1776.

A note on covariate measurement error in nonlinear mixed effects models

Biometrika, 83(4), 801–812.

Denaturation and Aggregation of Chicken Myosin Isoforms

Journal of Agricultural and Food Chemistry, 44(6), 1435–1440.

Organic Matter Decomposition following Harvesting and Site Preparation of a Forested Wetland

Soil Science Society of America Journal, 60(6), 1994–2003.

Pyrimethamine pharmacokinetics in human immunodeficiency virus-positive patients seropositive for Toxoplasma gondii.

Antimicrobial Agents and Chemotherapy, 40(6), 1360–1365.

The Effect of Variance Function Estimation on Nonlinear Calibration Inference in Immunoassay Data

Biometrics, 52(1), 158.

Nonlinear models for repeated measurement data

In Chapman & Hall/CRC. Boca Raton, FL: Boca Raton: Chapman & Hall.

Therapeutic effects of diethylcarbamazine and 3′-azido-3′-deoxythymidine on feline leukemia virus lymphoma formation

Veterinary Immunology and Immunopathology, 46(1-2), 181–194.

Assays for recombinant proteins: A problem in non-linear calibration

Statistics in Medicine, 13(11), 1165–1179.

Low serum antibacterial activity coincides with increased prevalence of shell disease in blue crabs Callinectes sapidus

Diseases of Aquatic Organisms, 19, 121–128.

Population Pharmacokinetic/Pharmacodynamic Methodology and Applications: A Bibliography

Biometrics, 50(2), 566.

Analysis of repeated measurement data using the nonlinear mixed effects model

Chemometrics and Intelligent Laboratory Systems, 20(1), 1–24.

Some Simple Methods for Estimating Intraindividual Variability in Nonlinear Mixed Effects Models

Biometrics, 49(1), 59.

Some general estimation methods for nonlinear mixed-effects model

Journal of Biopharmaceutical Statistics, 3(1), 23–55.

The nonlinear mixed effects model with a smooth random effects density

Biometrika, 80(3), 475–488.

Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidine

Journal of Pharmacokinetics and Biopharmaceutics, 20(5), 529–556.

Infectious bursal disease virus titers may be misleading

In Breakthrough, North Carolina Cooperative Extension Service (Vol. 15).

The use of regression analysis in nonwovens research

Proceedings of the TAPPI 1991 Nonwovens Conference, 27–33. Atlanta, Georgia: TAPPI Press.

Estimation of variance functions in assays with possibly unequal replication and nonnormal data

Biometrika, 77(1), 43–54.

Regression and calibration with nonconstant error variance

Chemometrics and Intelligent Laboratory Systems, 9(3), 231–248.

A Note on Extended Quasi-Likelihood

Journal of the Royal Statistical Society: Series B (Methodological), 50(1), 74–82.

Variance functions and the minimum detectable concentration in assays

Biometrika, 75(3), 549–556.

Variance function estimation

Journal of the American Statistical Association, 82(400), 1079–1091.