Daniel L. Kastner
University College London
4 Papers
21 Citations
Daniel L. Kastner is an academic researcher from University College London. The author has contributed to research in topics: Confidence interval & Sample size determination. The author has an hindex of 3, co-authored 4 publications. Previous affiliations of Daniel L. Kastner include National Institutes of Health.
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Papers
Effective Sample Size: Quick Estimation of the Effect of Related Samples in Genetic Case-Control Association Analyses
Yaning Yang,Elaine F. Remmers,Chukwuma B. Ogunwole,Daniel L. Kastner,Peter K. Gregersen,Wentian Li +5 more
TL;DR: The effective sample size method as mentioned in this paper is a simple and accessible approach for case-control association analysis with correlated samples that modifies the chi-square test statistic, p-value, and 95% confidence interval of the odds-ratio by replacing the apparent number of allele or genotype counts with the effective ones in the standard formula, without the need for specialized computer programs.
Effective Sample Size: Quick Estimation of the Effect of Related Samples in Genetic Case-Control Association Analyses
Yaning Yang,Elaine F. Remmers,Chukwuma B. Ogunwole,Daniel L. Kastner,Peter K. Gregersen,Wentian Li +5 more
TL;DR: The effective sample size method as discussed by the authors captures the variance inflation of allele frequency estimation exactly, and can be used to modify thechi-square test statistic, p-value, and 95% confidence interval ofodds-ratio simply by replacing the apparent number of allele counts with the effective ones.
Genetic architecture distinguishes systemic juvenile idiopathic arthritis from other forms of juvenile idiopathic arthritis: clinical and therapeutic implications.
Michael J. Ombrello,Arthur Vl,Elaine F. Remmers,Anne Hinks,Ioanna Tachmazidou,Alexei A. Grom,Alexei A. Grom,Dirk Foell,Alberto Martini,Marco Gattorno,Seza Ozen,Sampath Prahalad,Andrew Zeft,John F. Bohnsack,Norman T. Ilowite,Elizabeth D. Mellins,Ricardo Russo,Claudio Arnaldo Len,Maria Odete Esteves Hilário,Sheila Knupp Feitosa de Oliveira,Rae S. M. Yeung,Rosenberg Am,Lucy R. Wedderburn,Jordi Anton,Johannes-Peter Haas,Angela Rösen-Wolff,Kirsten Minden,Klaus Tenbrock,Erkan Demirkaya,J Cobb,J Cobb,Elizabeth Baskin,Sara Signa,Emily Shuldiner,Richard H. Duerr,Jean-Paul Achkar,M. Ilyas Kamboh,Kenneth M. Kaufman,Kenneth M. Kaufman,Leah C. Kottyan,Leah C. Kottyan,Dalila Pinto,Stephen W. Scherer,Marta E. Alarcón-Riquelme,Marta E. Alarcón-Riquelme,Elisa Docampo,Elisa Docampo,Xavier Estivill,Ahmet Gül,Carl D. Langefeld,Carl D. Langefeld,Susan D. Thompson,Eleftheria Zeggini,Daniel L. Kastner,Patricia Woo,Patricia Woo,Wendy Thomson +56 more
TL;DR: The hypothesis that sJIA is a unique disease process and argues for a different classification framework is supported and research to improve sJia therapy should target its unique genetics and specific pathophysiological pathways.