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This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications. It includes state-of-the-art reviews and original contributions.The articles included in this volume are based on a careful
Autor:
Sundarraman Subramanian
Publikováno v:
Statistics & Probability Letters. 186:109494
Autor:
Sundarraman Subramanian
Publikováno v:
Lifetime Data Analysis. 26:183-213
Function-based hypothesis testing in two-sample location-scale models has been addressed for uncensored data using the empirical characteristic function. A test of adequacy in censored two-sample location-scale models is lacking, however. A plug-in e
Autor:
Sundarraman Subramanian
Publikováno v:
Statistics & Probability Letters. 168:108955
An adjusted least absolute deviation estimating function, founded on the inverse (probability of) censoring weighted approach, is proposed. Covariate-free left and right censoring is assumed. When left censoring is absent, the proposed estimating fun
Autor:
Sundarraman Subramanian
Publikováno v:
Journal of Multivariate Analysis. 147:58-81
Simultaneous confidence bands for survival functions, from randomly right censored data, can be computed by inverting likelihood ratio functions based on appropriate thresholds. Sometimes, however, the requisite asymptotic distributions are intractab
Publikováno v:
Journal of Multivariate Analysis. 132:25-38
When two survival functions belong to a location-scale family of distributions, and the available two-sample data are each right censored, the location and scale parameters can be estimated using a minimum distance criterion combined with Kaplan-Meie
Publikováno v:
Journal of Multivariate Analysis. 123:281-303
Semiparametric random censorship (SRC) models (Dikta, 1998) [7], derive their rationale from their ability to utilize parametric ideas within the random censorship environment. An extension of this approach is developed for Cox regression, producing
Autor:
Sundarraman Subramanian, Peixin Zhang
Publikováno v:
Journal of Statistical Planning and Inference. 143:1166-1185
This paper focuses on a novel method of developing one-sample confidence bands for survival functions from right censored data. The approach is model-based, relying on a parametric model for the conditional expectation of the censoring indicator give
Publikováno v:
Statistics & Probability Letters. 83:219-226
Dikta, Kvesic, and Schmidt proposed a model-based resampling scheme to approximate critical values of tests for model checking involving binary response data. Their approach is inapplicable when the binary response variable is not always observed, ho
Autor:
Sundarraman Subramanian
Publikováno v:
Statistics & Probability Letters. 82:626-635
We introduce an adjusted likelihood ratio procedure for computing pointwise confidence intervals for survival functions from censored data. The test statistic, scaled by a ratio of two variance quantities, is shown to converge to a chi-squared distri