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Literature DB >> 21496938

A SAS macro for a clustered logrank test.

Margaret R Stedman¹, David R Gagnon, Robert A Lew, Sin-Ho Jung, Elena Losina, M Alan Brookhart.

Abstract

The clustered logrank test is a nonparametric method of significance testing for correlated survival data. Examples of its application include cluster randomized trials where groups of patients rather than individuals are randomized to either a treatment or a control intervention. We describe a SAS macro that implements the 2-sample clustered logrank test for data where the entire cluster is randomized to the same treatment group. We discuss the theory and applications behind this test as well as details of the SAS code.

Entities: Disease Gene Species

Mesh：

Year: 2011 PMID： 21496938 PMCID： PMC3140566 DOI： 10.1016/j.cmpb.2011.02.001

Source DB: PubMed Journal: Comput Methods Programs Biomed ISSN： 0169-2607 Impact factor: 5.428

3 in total

Review 1. Rank tests for clustered survival data.

Authors: Sin-Ho Jung; Jong-Hyeon Jeong
Journal: Lifetime Data Anal Date: 2003-03 Impact factor: 1.588

2. Rank tests for clustered survival data when dependent subunits are randomized.

Authors: Jong-Hyeon Jeong; Sin-Ho Jung
Journal: Stat Med Date: 2006-02-15 Impact factor: 2.373

3. Improving care of patients at-risk for osteoporosis: a randomized controlled trial.

Authors: Daniel H Solomon; Jennifer M Polinski; Margaret Stedman; Colleen Truppo; Laura Breiner; Catherine Egan; Saira Jan; Minal Patel; Thomas W Weiss; Ya-ting Chen; M Alan Brookhart
Journal: J Gen Intern Med Date: 2007-03 Impact factor: 5.128

3 in total

1. A comparison of statistical approaches for physician-randomized trials with survival outcomes.

Authors: Margaret R Stedman; Robert A Lew; Elena Losina; David R Gagnon; Daniel H Solomon; M Alan Brookhart
Journal: Contemp Clin Trials Date: 2011-09-06 Impact factor: 2.226

2. Clinicopathological Implications of the BRAF ^V600E Mutation in Papillary Thyroid Carcinoma of Ukrainian Patients Exposed to the Chernobyl Radiation in Childhood: A Study for 30 Years After the Accident.

Authors: Liudmyla Zurnadzhy; Tetiana Bogdanova; Tatiana I Rogounovitch; Masahiro Ito; Mykola Tronko; Shunichi Yamashita; Norisato Mitsutake; Michael Bolgov; Serhii Chernyshov; Sergii Masiuk; Vladimir A Saenko
Journal: Front Med (Lausanne) Date: 2022-04-26

3. Effect of day 3 embryo morphometrics and morphokinetics on survival and implantation after slow freezing-thawing and after vitrification-warming: a retrospective cohort study.

Authors: Elia Fernandez Gallardo; Carl Spiessens; Thomas D'Hooghe; Sophie Debrock
Journal: Reprod Biol Endocrinol Date: 2017-10-03 Impact factor: 5.211

3 in total

A SAS macro for a clustered logrank test.

Review 1. Rank tests for clustered survival data.

2. Rank tests for clustered survival data when dependent subunits are randomized.

3. Improving care of patients at-risk for osteoporosis: a randomized controlled trial.

1. A comparison of statistical approaches for physician-randomized trials with survival outcomes.

2. Clinicopathological Implications of the BRAF V600E Mutation in Papillary Thyroid Carcinoma of Ukrainian Patients Exposed to the Chernobyl Radiation in Childhood: A Study for 30 Years After the Accident.

3. Effect of day 3 embryo morphometrics and morphokinetics on survival and implantation after slow freezing-thawing and after vitrification-warming: a retrospective cohort study.

2. Clinicopathological Implications of the BRAF ^V600E Mutation in Papillary Thyroid Carcinoma of Ukrainian Patients Exposed to the Chernobyl Radiation in Childhood: A Study for 30 Years After the Accident.