Global Sensitivity Analysis for Repeated Measures Studies With Informative Dropout: A Fully Parametric Approach

Statistics in Biopharmaceutical Research

Volumn 6, Issue 4, 2014, Pages 338-348

  Scharfstein, Daniel ^a   McDermott, Aidan ^a   Olson, William ^b   Wiegand, Frank ^c  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b JANSSEN RESEARCH AND DEVELOPMENT   (United States)

^c JOHNSON AND JOHNSON   (United States)

Author keywords

Curse of dimensionality; Explainable dropout; Exponential tilting; G computation; Identification; Missing at random; Pattern mixture model; Selection model

Indexed keywords

HALOPERIDOL; PLACEBO; RISPERIDONE;

AD HOC SENSITIVITY ANALYSIS; ALGORITHM; ARTICLE; COMPARATIVE EFFECTIVENESS; DATA ANALYSIS; G COMPUTATION ESTIMATOR; GLOBAL SENSITIVITY ANALYSIS; HUMAN; INFORMATIVE DROPOUT; INVERSE PROBABILITY WEIGHTED ESTIMATOR; LOCAL SENSITIVITY ANALYSIS; LONGITUDINAL STUDY; PARAMETRIC TEST; PROBABILITY; RANDOMIZED CONTROLLED TRIAL (TOPIC); REPEATED MEASURES STUDY; SCHIZOPHRENIA; SCORING SYSTEM; SENSITIVITY ANALYSIS; SIMULATION; STATISTICS;

EID: 84961340701     PISSN: None     EISSN: 19466315     Source Type: Journal    
DOI: 10.1080/19466315.2014.966920     Document Type: Article

References (16)

1. Chouinard, G., Jones, B., Remington, G., Bloom, D., Addinfton, D., MacEwan, G., Labelle, A., Beauclair, L., Arnott, W. (1993), A Canadian Multicenter Placebo-Controlled Study of Fixed Doses of Risperidone and Haloperidol in the Treatment of Chronic Schizophrenic Patients, Journal of Clinical Psychopharmacology, 13, 25–40.
2. Cook, D. (1986), Assessment of Local Influence, Journal of the Royal Statistical Society, Series B, 2, 133–169.
3. Copas, J., Eguchi, S. (2001), Local Sensitivity Approximations for Selectivity Bias, Journal of the Royal Statistical Society, Series B, 63, 871–895.
4. Daniels, M., and Hogan, J. (2008), Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis, Boca Raton, FL: CRC Press.
5. Diggle, P., Kenward, M. (1994), Informative Drop-Out in Longitudinal Data Analysis, Applied Statistics, 43, 49–93.
6. Little, R., Cohen, M., Dickersin, K., Emerson, S., Farrar, J., Frangakis, C., Hogan, J., Molenberghs, G., Murphy, S., Neaton, J., Rotnitzky, A., Scharfstein, D., Shih, W., Siegel, J., and Stern, H. (2010), The Prevention and Treatment of Missing Data in Clinical Trials, Washington, DC: The National Academies Press.
7. Ma, G., Toxel, A., Heitjan, D. (2005), An Index of Local Sensitivity to Nonignorable Drop-Out in Longitudinal Modelling, Statistics in Medicine, 24, 2129–2150.
8. Marder, S., Meibach, R. (1994), Risperidone in the Treatment of Schizophrenia, American Journal of Psychiatry, 151, 825–835.
9. Robins, J. (1986), A New Approach to Causal Inference in Mortality Studies With Sustained Exposure Periods—Application to Control of the Healthy Worker Survivor Effect, Mathematical Modelling, 7, 1393–1512.
10. Robins, J., Rotnitzky, A., and Scharfstein, D. (2000), “Sensitivity Analysis for Selection Bias and Unmeasured Confounding in Missing Data and Causal Inference Models,” in Statistical Models for Epidemiology, ed. E. Halloran, New York: Springer-Verlag, pp. 1–94.
11. Rotnitzky, A., Robins, J., Scharfstein, D. (1998), Semiparametric Regression for Repeated Outcomes With Non-Ignorable Non-Response, Journal of the American Statistical Association, 93, 1321–1339.
12. Rotnitzky, A., Scharfstein, D., Su, T., Robins, J. (2001), A Sensitivity Analysis Methodology for Randomized Trials With Potentially Non-Ignorable Cause-Specific Censoring, Biometrics, 57, 103–113.
13. Scharfstein, D., Rotnitzky, A., and Robins, J. 1999, Adjusting for Non-Ignorable Drop-Out Using Semiparametric Non-Response Models” (with discussion), Journal of the American Statistical Association, 94, 1096–1146.
14. Troxel, A., Ma, G., Heitjan, D. (2004), An Index of Local Sensitivity to Nonignorability, Statistica Sinica, 14, 1221–1237.
15. Verbeke, G., Molenberghs, G., Thijs, H., Lesaffre, E., Kenward, M. (2001), Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach, Biometrics, 57, 7–14.
16. Yan, X., Lee, S., Li, N. (2009), Missing Data Handling Methods in Medical Device Clinical Trials, Journal of Biopharmaceutical Statistics, 19, 1085–1098.