A “placement of death” approach for studies of treatment effects on ICU length of stay
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Dylan S. Small | Dylan S Small | Winston T. Lin | S. Halpern | Scott D Halpern | Winston Lin | Meeta Prasad Kerlin | Meeta Prasad Kerlin
[1] R J Carroll,et al. On design considerations and randomization-based inference for community intervention trials. , 1996, Statistics in medicine.
[2] Anthony C. Davison,et al. Bootstrap Methods and Their Application , 1998 .
[3] Dylan S. Small,et al. Outcomes and statistical power in adult critical care randomized trials. , 2014, American journal of respiratory and critical care medicine.
[4] P A Lachenbruch,et al. Comparisons of two‐part models with competitors , 2001, Statistics in medicine.
[5] I. White,et al. Choice of test for comparing two groups, with particular application to skewed outcomes , 2003, Statistics in medicine.
[6] Andrew D. Ho. A Nonparametric Framework for Comparing Trends and Gaps Across Tests , 2009 .
[7] E. Lehmann. Elements of large-sample theory , 1998 .
[8] D. Rubin. Causal Inference Using Potential Outcomes , 2005 .
[9] Terence P. Speed,et al. Introductory Remarks on Neyman (1923) , 1990 .
[10] Rob J Hyndman,et al. Sample Quantiles in Statistical Packages , 1996 .
[11] K. McGraw,et al. A common language effect size statistic. , 1992 .
[12] Emma Sutton. Rejoinder , 2010 .
[13] Joseph P. Romano,et al. Asymptotically valid and exact permutation tests based on two-sample U-statistics , 2016 .
[14] Dylan S. Small,et al. A randomized trial of nighttime physician staffing in an intensive care unit. , 2013, The New England journal of medicine.
[15] Philip B. Stark,et al. Statistical Models and Causal Inference: A Dialogue with the Social Sciences , 2009 .
[16] A. Hallstrom,et al. A modified Wilcoxon test for non‐negative distributions with a clump of zeros , 2009, Statistics in medicine.
[17] D. Rubin. Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with “Censoring” Due to Death , 2006, math/0612783.
[18] Xuefeng Li,et al. Confidence intervals for two sample binomial distribution , 2005 .
[19] S. Ratcliffe,et al. An Empirical Derivation of the Optimal Time Interval for Defining ICU Readmissions , 2013, Medical care.
[20] E. Korn. Comment: Causal Inference in the Medical Area , 2006, math/0612785.
[21] Discussion of ‘Parametric versus nonparametrics: two alternative methodologies’ , 2009 .
[22] J. Hahn. Bootstrapping Quantile Regression Estimators , 1995, Econometric Theory.
[23] Comment: The Place of Death in the Quality of Life. , 2006, math/0612786.
[24] Huifang Zhao,et al. Hospital mortality, length of stay, and preventable complications among critically ill patients before and after tele-ICU reengineering of critical care processes. , 2011, JAMA.
[25] M. Joffe. The International Journal of Biostatistics Principal Stratification and Attribution Prohibition : Good Ideas Taken Too Far , 2012 .
[26] P. Holland. Statistics and Causal Inference , 1985 .
[27] Paul W. Holland,et al. Two Measures of Change in the Gaps Between the CDFs of Test-Score Distributions , 2002 .
[28] E. Brunner,et al. The Nonparametric Behrens‐Fisher Problem: Asymptotic Theory and a Small‐Sample Approximation , 2000 .
[29] D. Rubin. Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .
[30] John W. Pratt,et al. Obustness of Some Procedures for the Two-Sample Location Problem , 1964 .
[31] Jean Dickinson Gibbons,et al. Nonparametric Statistical Inference , 1972, International Encyclopedia of Statistical Science.
[32] Edgar Brunner,et al. A studentized permutation test for the non-parametric Behrens-Fisher problem , 2007, Comput. Stat. Data Anal..
[33] Paul R Rosenbaum,et al. Confidence Intervals for Uncommon but Dramatic Responses to Treatment , 2007, Biometrics.
[34] Peter A Lachenbruch,et al. Analysis of data with excess zeros , 2002, Statistical methods in medical research.
[35] P. Rosenbaum. Design of Observational Studies , 2009, Springer Series in Statistics.
[36] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[37] Charles S. Reichardt,et al. Justifying the use and increasing the power of a t test for a randomized experiment with a convenience sample. , 1999 .
[38] D. Moher,et al. CONSORT 2010 explanation and elaboration: Updated guidelines for reporting parallel group randomised trialsqqq , 2018 .
[39] Xiao-Hua Zhou,et al. Inferences about population means of health care costs , 2002, Statistical methods in medical research.
[40] M. Fay,et al. Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. , 2010, Statistics surveys.
[41] Alan Agresti,et al. Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures , 2000 .
[42] Gary King,et al. The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation , 2009, 0910.3752.
[43] W. Lin,et al. Agnostic notes on regression adjustments to experimental data: Reexamining Freedman's critique , 2012, 1208.2301.
[44] J. Felson,et al. Statistical Models and Causal Inference: A Dialogue with the Social Sciences , 2011 .
[45] Michael Proschan,et al. Chop‐Lump Tests for Vaccine Trials , 2009, Biometrics.
[46] M. Gibson,et al. Beyond ANOVA: Basics of Applied Statistics. , 1986 .
[47] Subhabrata Chakraborti,et al. Nonparametric Statistical Inference , 2011, International Encyclopedia of Statistical Science.
[48] Sangeeta Mehta,et al. Daily sedation interruption in mechanically ventilated critically ill patients cared for with a sedation protocol: a randomized controlled trial. , 2012, JAMA.
[49] E. L. Lehmann,et al. Parametric versus nonparametrics: two alternative methodologies , 2009 .
[50] D. Rubin. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies , 1990 .
[51] Philip B. Stark,et al. Statistical Models and Causal Inference: Survival Analysis: An Epidemiological Hazard? , 2009 .
[52] Frank C Curriero,et al. Mixture models for quantitative HIV RNA data , 2002, Statistical methods in medical research.
[53] B. M. Brown,et al. Kruskal–Wallis, Multiple Comparisons and Efron Dice , 2002 .
[54] D. Rubin,et al. Principal Stratification in Causal Inference , 2002, Biometrics.
[55] E. Brunner,et al. Wilcoxon–Mann–Whitney test for stratified samples and Efron's paradox dice , 2007 .