NDLI: Saddlepoint p-values and confidence intervals for a class of two sample permutation tests for current status and panel count data

Please wait, while we are loading the content...

Lifetime Data Analysis : Volume 23

Lifetime Data Analysis : Volume 22

Lifetime Data Analysis : Volume 21

Lifetime Data Analysis : Volume 20

Lifetime Data Analysis : Volume 19

Lifetime Data Analysis : Volume 18

Lifetime Data Analysis : Volume 17

Lifetime Data Analysis : Volume 17, Issue 4, October 2011

Lifetime Data Analysis : Volume 17, Issue 3, July 2011

Destructive weighted Poisson cure rate models

Simultaneous marginal survival estimators when doubly censored data is present

Proportional hazards regression with interval censored data using an inverse probability weight

Likelihood ratio procedures and tests of fit in parametric and semiparametric copula models with censored data

Optimal goodness-of-fit tests for recurrent event data

Model-free predictor tests in survival regression through sufficient dimension reduction

A hierarchical frailty model applied to two-generation melanoma data

Saddlepoint p-values and confidence intervals for a class of two sample permutation tests for current status and panel count data

Lifetime Data Analysis : Volume 17, Issue 2, April 2011

Lifetime Data Analysis : Volume 17, Issue 1, January 2011

Lifetime Data Analysis : Volume 16

Lifetime Data Analysis : Volume 15

Lifetime Data Analysis : Volume 14

Lifetime Data Analysis : Volume 13

Lifetime Data Analysis : Volume 12

Lifetime Data Analysis : Volume 11

Lifetime Data Analysis : Volume 10

Lifetime Data Analysis : Volume 9

Lifetime Data Analysis : Volume 8

Lifetime Data Analysis : Volume 7

Lifetime Data Analysis : Volume 6

Lifetime Data Analysis : Volume 5

Lifetime Data Analysis : Volume 4

Lifetime Data Analysis : Volume 3

Saddlepoint p-values and confidence intervals for a class of two sample permutation tests for current status and panel count data

Content Provider	Springer Nature Link
Author	Abd Elfattah, Ehab F.
Copyright Year	2010
Abstract	The current status and panel count data frequently arise from cancer and tumorigenicity studies when events currently occur. A common and widely used class of two sample tests, for current status and panel count data, is the permutation class. We manipulate the double saddlepoint method to calculate the exact mid-p-values of the underlying permutation distributions of this class of tests. Permutation simulations are replaced by analytical saddlepoint computations which provide extremely accurate mid-p-values that are exact for most practical purposes and almost always more accurate than normal approximations. The method is illustrated using two real tumorigenicity panel count data. To compare the saddlepoint approximation with the normal asymptotic approximation, a simulation study is conducted. The speed and accuracy of the saddlepoint method facilitate the calculation of the confidence interval for the treatment effect. The inversion of the mid-p-values to calculate the confidence interval for the mean rate of development of the recurrent event is discussed.
Ending Page	472
Page Count	12
Starting Page	461
File Format	PDF
ISSN	13807870
e-ISSN	15729249
Journal	Lifetime Data Analysis
Issue Number	3
Volume Number	17
Language	English
Publisher	Springer US
Publisher Date	2010-12-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hypothesis testing Current status data Permutation tests Statistics for Life Sciences, Medicine, Health Sciences Mid-p-value Applications to biology and medical sciences Statistics Panel data Statistics for Business/Economics/Mathematical Finance/Insurance Two-sample tests Operations Research/Decision Theory Quality Control, Reliability, Safety and Risk General biostatistics Approximations to distributions (nonasymptotic) Saddlepoint approximation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Medicine

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

The weighted log-rank class under truncated binomial design: saddlepoint p-values and confidence intervals

Saddlepoint $$p$$ -values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

Saddlepoint approximations for tests of dispersion

Saddlepoint approximations to the two-sample permutation tests

Tail approximations for samples from a finite population with applications to permutation tests

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

Permutation-based multiple testing corrections for p-values and confidence intervals for cluster randomised trials

New multi-sample nonparametric tests for panel count data

Beyond Hypothesis Testing

Saddlepoint p-values and confidence intervals for a class of two sample permutation tests for current status and panel count data

Similar Documents

The weighted log-rank class under truncated binomial design: saddlepoint p-values and confidence intervals

Saddlepoint $$p$$ -values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

Saddlepoint approximations for tests of dispersion

Saddlepoint approximations to the two-sample permutation tests

Tail approximations for samples from a finite population with applications to permutation tests

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

Permutation-based multiple testing corrections for p-values and confidence intervals for cluster randomised trials

New multi-sample nonparametric tests for panel count data

Beyond Hypothesis Testing

Saddlepoint p-values and confidence intervals for a class of two sample permutation tests for current status and panel count data